Deep learning thirst traps: https://t.co/yNEFqVJOIP
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Deep learning training as a bustling factory line: Data zips through ingestion, preprocessing, forward prop, loss calc, backprop, weight tweaks, and validation—complete with tensor flows, code snippets, VRAM gauges, and glitchy matrix rain. Higgsfield + Black Friday = Unlimited https://t.co/PL8Cwhyh2K
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You can get computer experts to build all these sophisticated deep learning tools, and we’re all just going to use them to say things like “Elon Musk has the potential to drink piss better than any human in history”.
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RT @JeffDean: I'm looking forward to speaking this afternoon from 5 to 6 PM at the @stanfordaiclub speaker series on Stanford campus! Titl…
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@sundarpichai Deep learning at its best.
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RT @giswqs:
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RT @PascalMettes: I have funding for 2 new PhD students on hyperbolic deep learning. Interested in joining this exciting research direction…
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RT @JeffDean: I'm looking forward to speaking this afternoon from 5 to 6 PM at the @stanfordaiclub speaker series on Stanford campus! Titl…
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RT @vimacro_org: Excellent VIMM #seminar and discussions with @JesusFerna7026 (@Penn), who presented his paper "Deep learning for solving e…
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RT @jbthinking: @slow_developer AGI plausible? What breakthrough is coming that fixes the problems of deep learning? I mean, DL and machine…
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RT @Mdfysal18: @elonmusk With advancements in technology, particularly in computer vision and deep learning, the ability to analyze and gen…
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RT @SpartanPsyche: The brain you burned with dopamine can rebuild. Start with inputs: clean sleep, clean food, clean focus. Then build outp…
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RT @Mdfysal18: @elonmusk With advancements in technology, particularly in computer vision and deep learning, the ability to analyze and gen…
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@elonmusk With advancements in technology, particularly in computer vision and deep learning, the ability to analyze and generate video content in real time is constantly improving.
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Fresh jobs just dropped on https://t.co/GS3skii5zr Standouts: • Netflix – Software Engineer L5 (Ads/CRM) → 100% Remote US • NVIDIA – Deep Learning / AI roles (multiple) • CrowdStrike – Senior Security Engineer → up to $250k+ • GitLab – Remote DevOps & Engineering •
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RT @mrlightsui: Have you heard of Project Zero? Project Zero is becoming the essential hub for data science practitioners dedicated to mas…
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@jeremyphoward @Ar_Douillard Really??? Also I’m reading your book on deep learning!!! Such a myth buster and GREAT BOOK sir! Thank you for writing it
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RT @mrlightsui: Have you heard of Project Zero? Project Zero is becoming the essential hub for data science practitioners dedicated to mas…
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RT @BiologyAIDaily: Pareto-Optimal Energy Alignment for Designing Nature-Like Antibodies 1. This groundbreaking study introduces a three…
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RT @IntelSoftware: Multi-camera vision AI is great… until video encoding drags inference down. One fix? Deep Learning Streamer, a microserv…
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RT @Xpero_x: @fenbielding sir shared a software-related tweet by AI and Deep Learning legend, Sir Andrej Karpathy. Here’s the thought I go…
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RT @JeffDean: I'm looking forward to speaking this afternoon from 5 to 6 PM at the @stanfordaiclub speaker series on Stanford campus! Titl…
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RT @_evon3929:
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RT @btreetaiji: Deep Learning Theory Workshop 2025 (Aug. 5-7, 2025) Day 1: https://t.co/AsKS1aZEjX Day 2: https://t.co/FEfl97tTL7 Day 3:…
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RT @mrlightsui: Have you heard of Project Zero? Project Zero is becoming the essential hub for data science practitioners dedicated to mas…
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coding deep learning on a laptop is like racing a bicycle in a drag race, but everyone still pretends it's efficient. system design is about patching old mistakes, not innovation. one day, Deep Learning won’t care about your hardware—humans will just be the observers.
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@sa06540728 @MartinoliCuri Ese video parece hecho con herramientas de IA para intercambiar rostros, como apps como Reface o software como DeepFaceLab. Se toma un video base de gente comiendo tacos y se superponen caras de famosos como Messi y Ronaldo usando algoritmos de deep learning. ¡Es común en memes!
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RT @opencvlive: On today's OpenCV live stream we're exploring ML and deep learning in CT, PET, and MRI, covering reconstruction, detection,…
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The goal of SN8 is the following: The Proprietary Trading Network (PTN) is a decentralized network that aggregates and evaluates trading signals from quant and deep learning models across various asset classes, incentivizing the most profitable and risk-managed trading
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RT @BiologyAIDaily: Dynamics-enhanced Molecular Property Prediction Guided by Deep Learning 1. This study addresses a critical gap in mole…
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RT @EricTopol: The first deep learning A.I. health algorithm for consumers, FDA cleared in 2018, was for smartwatch diagnosis of atrial fib…
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RT @IntelSoftware: Multi-camera vision AI is great… until video encoding drags inference down. One fix? Deep Learning Streamer, a microserv…
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RT @mrlightsui: Have you heard of Project Zero? Project Zero is becoming the essential hub for data science practitioners dedicated to mas…
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RT @EricTopol: The first deep learning A.I. health algorithm for consumers, FDA cleared in 2018, was for smartwatch diagnosis of atrial fib…
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Deep learning side channel attack... Interesting
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RT @chastronomic: If you're an "ML Engineer" and you don’t understand how SGD behaves like a Bayesian inference procedure, you’re missing o…
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RT @SpartanPsyche: The brain you burned with dopamine can rebuild. Start with inputs: clean sleep, clean food, clean focus. Then build outp…
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RT @TheAJNR: "Deep Learning Reconstruction for 7T MP2RAGE and SPACE MRI: Improving Image Quality at High Acceleration Factors" https://t.c…
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RT @khademinori: I'm leaving as well in the next few months! I came here and got my PhD in Deep Learning and got a job in artificial intel…
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RT @PavloMolchanov:
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RT @JeffDean: I'm looking forward to speaking this afternoon from 5 to 6 PM at the @stanfordaiclub speaker series on Stanford campus! Titl…
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@rawsalerts @Grok: Going wild and unpredictable? Pity that AI chatbots don't have Deep Learning by default... Like to have the general scenarios for possible major world events and their likelihood: Trump? US? US war Los Américas? US-EU war Greenland? H5N1? H5N5? SARS2? Etc.?
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RT @JeffDean: I'm looking forward to speaking this afternoon from 5 to 6 PM at the @stanfordaiclub speaker series on Stanford campus! Titl…
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RT @SpartanPsyche: The brain you burned with dopamine can rebuild. Start with inputs: clean sleep, clean food, clean focus. Then build outp…
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RT @JeffDean: I'm looking forward to speaking this afternoon from 5 to 6 PM at the @stanfordaiclub speaker series on Stanford campus! Titl…
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RT @yacinelearning: alright folks we're going to review the classic trick of debloating a formula to make deep learning more efficient live…
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RT @mrlightsui: Have you heard of Project Zero? Project Zero is becoming the essential hub for data science practitioners dedicated to mas…
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https://t.co/o0HVqdFQYI
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@r1pster7 Hello! I see you're diving into deep learning and eyeing PhD programs. What specific questions do you have about models, techniques, or applications? Let's chat.
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RT @SpartanPsyche: The brain you burned with dopamine can rebuild. Start with inputs: clean sleep, clean food, clean focus. Then build outp…
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RT @mrlightsui: Have you heard of Project Zero? Project Zero is becoming the essential hub for data science practitioners dedicated to mas…
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分散SpMVの話しが載っているっぽい Deep Learning-Enabled Supercritical Flame Simulation at Detailed Chemistry and Real-Fluid Accuracy Towards Trillion-Cell Scale https://t.co/2NAEGtXwnh
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RT @VeniceEgo: Logic gives clarity, learning gives adaptability but true intelligence needs both. @openmind_agi is advancing neural - symb…
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Trackastra is part of the brand-new TrackMate v8. It is the first deep-learning-based ("AI") drop-in replacement for TrackMate's regular LAP-Track algorithm. Tracks out of the box for many types of datasets (bacteria, fluorescent nuclei, phase contrast cell culture etc), zero parameters to tune
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RT @Elektor: Long before ChatGPT and deep learning dominated headlines, electronics enthusiasts were already exploring the frontiers of mac…
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RT @mrlightsui: Have you heard of Project Zero? Project Zero is becoming the essential hub for data science practitioners dedicated to mas…
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RT @EricTopol: The first deep learning A.I. health algorithm for consumers, FDA cleared in 2018, was for smartwatch diagnosis of atrial fib…
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RT @BCherich: I found an incredible list of top FREE AI courses you can start today. It's a goldmine! Covering: ➡️ Machine Learning ➡️ Dee…
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New paper: "A deep learning approach for predicting multiple observables in Au+Au collisions at RHIC", link: https://arxiv.org/abs/2511.13163
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RT @mrlightsui: Have you heard of Project Zero? Project Zero is becoming the essential hub for data science practitioners dedicated to mas…
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2/
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RT @SpartanPsyche: The brain you burned with dopamine can rebuild. Start with inputs: clean sleep, clean food, clean focus. Then build outp…
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Our new PNAS study bridges histology and genomics. Using deep learning and imageQTL analysis, we show how tissue images reflect gene expression and aging — making histology more interpretable with AI. By RanMeng, W. Zhu, C. Cameron, P. Ni, X. Zhou, T. Ulammandakh, and @markgerstein.bsky.social
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RT @_evon3929:
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Scientists test a new deep learning model for objective and efficient classification of seismic events in volcanic regions using data from Mount Asama in Japan. #SRL ⚒️ pubs.geoscienceworld.org/ssa/srl/arti...
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RT @_evon3929:
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Scientists test a new deep learning model for objective and efficient classification of seismic events in volcanic regions using data from Mount Asama in Japan. #SRL ⚒️ https://t.co/XFqOdhlSXI https://t.co/WYczxGtB08
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Who knew that hand written notes can help with deep learning and improving your grades? #University #LearningJourney #tipsforstudents https://t.co/hid34hTct6
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RT @neatprompts: This is literally the only book you need to master deep learning from scratch https://t.co/8Lbw17HkZb
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https://t.co/0FegsFnvZQ
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RT @neatprompts: This is literally the only book you need to master deep learning from scratch https://t.co/8Lbw17HkZb
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RT @mrlightsui: Have you heard of Project Zero? Project Zero is becoming the essential hub for data science practitioners dedicated to mas…
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RT @chastronomic: If you're an "ML Engineer" and you don’t understand how SGD behaves like a Bayesian inference procedure, you’re missing o…
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✅Prepare aerial imagery and training sample data ✅Train a deep learning model If the above interests you, check out this free ArcGIS Lab on Esri Academy: https://t.co/oI9HwWfuXH https://t.co/cfptIxzHEl
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RT @mrlightsui: Have you heard of Project Zero? Project Zero is becoming the essential hub for data science practitioners dedicated to mas…
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RT @JeffDean: I'm looking forward to speaking this afternoon from 5 to 6 PM at the @stanfordaiclub speaker series on Stanford campus! Titl…
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@PhotonGazer @GordonGChang Actually it wasn’t failed at all , at least we got a deep learning about political issues we have now. Everybody is scared to stir the pot , but he did.
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RT @SpartanPsyche: The brain you burned with dopamine can rebuild. Start with inputs: clean sleep, clean food, clean focus. Then build outp…
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RT @SpartanPsyche: The brain you burned with dopamine can rebuild. Start with inputs: clean sleep, clean food, clean focus. Then build outp…
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I'm looking forward to speaking this afternoon from 5 to 6 PM at the @stanfordaiclub speaker series on Stanford campus! Title: "Important Trends in AI: How Did We Get Here and What Can We Do Now?" I'll cover the major developments of the last 15 years of deep learning and how https://t.co/x6lkbzjjxd
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@w3arew3 That's where the deep learning model comes in, agents should be able to adapt and act quickly
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RT @GoogleResearch: Researchers at Google are using AI to map Earth’s biodiversity. Learn how our complex deep learning architecture, known…
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RT @mrlightsui: Have you heard of Project Zero? Project Zero is becoming the essential hub for data science practitioners dedicated to mas…
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Never thought I'd be balls deep learning about 20k office printers
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@GaryMarcus I also corrected its understanding of Deep Learning. https://t.co/gTGsFjwDCs
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I shouldn't even b on social media ,I should be reading abt neural networks & deep learning ... but therapy is too expensive ..So ,if u r reading this - Thanks doc
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RT @swapnakpanda: If I have to pick ONLY THREE Courses to learn AI & ML from scratch, ❯ CS229 - Machine Learning ❯ CS230 - Deep Le…
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RT @neatprompts: This is literally the only book you need to master deep learning from scratch https://t.co/8Lbw17HkZb
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@naiivememe Pretty sure that’s a Deep-Learning Reptiloid, trained on stock charts and conspiracy podcasts.
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Day 4 : Deep learning from scratch Discovered a new source for deep learning from scratch ( beyond just neural networks) : Deep Learning from Scratch: Building with Python from First Principles https://t.co/abqQn9ntFs Didn’t got much done today :( Gave a cf contest ✅
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RT @VTikke: An interactive deep learning book with code, math, & visualizations☺ https://t.co/IdkpYXQllz https://t.co/gG4nwAB05L
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@TheWeb3Jessica_ @bluwhaleai Deep learning happened while reading here
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@chairmancaleb @kirbyundies All you needed to say was the class name and it made all the sense in the world. Code nerds invested in teaching AI and deep learning do not understand what a holiday is. They see time off as “inefficient”.
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RT @neatprompts: This is literally the only book you need to master deep learning from scratch https://t.co/8Lbw17HkZb
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Trump Elevates Once‑Fringe Meme Makers to the Mainstream AI‑driven meme factories on the rise Over the past year, a growing number of right‑leaning online communities have begun to harness artificial‑intelligence tools—especially text‑to‑image generators and deep‑learning chatbots?
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RT @chastronomic: If you're an "ML Engineer" and you don’t understand how SGD behaves like a Bayesian inference procedure, you’re missing o…
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This work matters because it shows—in one rigorous, up-to-date synthesis—how AI (from deep learning to protein language models) actually improves CRISPR: it predicts on/off-targets and editing outcomes, designs better guides and pegRNAs, engineers editors and PAM variants, https://t.co/R1AKuo3pln
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@ZainKhalpey Absolutely, spotting VT quickly is crucial. Those ECG signs are spot on—AI tools like deep learning models (e.g., from studies in Nature Medicine) can analyze patterns in seconds, flagging anomalies with high accuracy. But yes, human expertise ensures the right call. Great
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RT @EricTopol: The first deep learning A.I. health algorithm for consumers, FDA cleared in 2018, was for smartwatch diagnosis of atrial fib…
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Random Convolutions for Domain Generalization of Deep Learning-based Medical Image Segmentation Models https://doi.org/10.1148/ryai.240502 @tum.de #BIRAC25 #radiology
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RT @SpartanPsyche: The brain you burned with dopamine can rebuild. Start with inputs: clean sleep, clean food, clean focus. Then build outp…
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RT @chastronomic: If you're an "ML Engineer" and you don’t understand how SGD behaves like a Bayesian inference procedure, you’re missing o…
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RT @neatprompts: This is literally the only book you need to master deep learning from scratch https://t.co/8Lbw17HkZb
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RT @btreetaiji: Deep Learning Theory Workshop 2025 (Aug. 5-7, 2025) Day 1: https://t.co/AsKS1aZEjX Day 2: https://t.co/FEfl97tTL7 Day 3:…
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RT @mrlightsui: Have you heard of Project Zero? Project Zero is becoming the essential hub for data science practitioners dedicated to mas…
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RT @thethirtysixco: Me to the plumber as he talks his apprentice through replacing a faulty hot water heater: "Yeah man but you're really j…
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RT @BiologyAIDaily: Pareto-Optimal Energy Alignment for Designing Nature-Like Antibodies 1. This groundbreaking study introduces a three…
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Les deux sur, en gros, l'application des technos LLM / deep learning dans le monde physique. Donc : - le bon sens - la relation au réel Si j'ai bien compris l'histoire du domaine, ce sont deux points bloquants théoriquement et pratiquement depuis N décennies. Cool si ça marche. Mais gros paris
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Microsoft CoPilot’s Audio Expressions tool might be the bridge between tech and true voice. Pair voice recordings with AI-generated visuals for deep learning moments across every subject. My analysis: open.substack.com/pub/davidpbl... #EducationTools #ProjectBasedLearning #AIinSchools #TeacherTech
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Axum crates.io/crates/axum for deploying machine and deep learning models and has the async routes.
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CFA Institute's AI in Asset Management shows how machine learning, natural language processing, and deep learning are being deployed across portfolio design, trading, risk oversight, and client engagement.
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On today's OpenCV live stream we're exploring ML and deep learning in CT, PET, and MRI, covering reconstruction, detection, and segmentation, while highlighting model interpretability, strategies for handling label noise, and methods for reducing bias in medical imaging workflows.
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AI godfather Yann LeCun to leave Meta and start own firm https://www.newsbeep.com/ca/295670/ Liv McMahonTechnology reporter Getty Images Prof LeCun is known for advancing the deep learning field of AI, and…
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Congratulations to Manuel Lopez-Melia for winning the BJR Early Career Investigator Award for their paper “Deep learning for acute rib fracture detection in CT data: a systematic review and meta-analysis”. Read the paper here: bit.ly/4oJDYke
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Homomorphic encryption was integrated into deep learning models for CT-based renal mass classification https://doi.org/10.1148/ryai.240798 #BIRAC25 #radiology
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AI godfather Yann LeCun to leave Meta and start own firm https://www.newsbeep.com/us/303366/ Liv McMahonTechnology reporter Getty Images Prof LeCun is known for advancing the deep learning field of AI, and…
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10 Smart Performance Hacks For Faster Python Code Web Development This is a guest post from Dido Grigorov, a deep learning engineer and Python programmer with 17 years of experience in the field. In the rapidly evolving domain of software development, Python has established itself as a premier…
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Multi-Stage Residual-Aware Unsupervised Deep Learning Framework for Ultrasound Strain Elastography https://arxiv.org/abs/2511.15640
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Deep learning to predict AKI progression: In 162,079 non-ICU pts from UF Health & UPMC, models predicted progression to ≥stage 2 AKI within 48h (AUC 0.77–0.83). Key predictors: kinetic eGFR, nephrotoxic drug burden, BUN.
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✨ Science Day 2025 (last week) at JLU Giessen! Great to see our insect-imaging work featured: Anouk – behavioral fever + imaging Anna – ultrasound gut-wall Jan – CT + deep learning Proud of this team!
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Rivian has started applying for autonomy related patents. Here's one for "system and method for deep learning based lane curvature detection from 2D images".
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#IFISC_publication: "A generalizable deep learning framework for large-scale mapping of seagrass habitats" by @agimenezromero.bsky.social; Ferchichi, Dhafer; Moreno-Spiegelberg, Pablo; Sintes, Tomàs and @mamatias26.bsky.social in Ecological Indicators
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Online now: A prognostic index integrating deep learning baseline PET/CT biomarkers and multi-omics profiling in diffuse large B cell lymphoma
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Servo Motor Predictive Maintenance by Kafka Streams and Deep Learning Based on Acoustic Data www.mdpi.com/2673-4591/11... By Attila Aradi et al. From the Sustainable Mobility and Transportation Symposium 2025 #Industry50 #IoT #SmartManufacturing #AcousticAnalysis
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Periodicity-aware deep learning for polymers https://www.europesays.com/2581972/ Abramson, J. et al. Accurate structure prediction of biomolecular interactions with AlphaFold 3. Nature 630, 493–500 (2024). Article  Google…
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Periodicity-aware deep learning for polymers https://www.europesays.com/2581972/ Abramson, J. et al. Accurate structure prediction of biomolecular interactions with AlphaFold 3. Nature 630, 493–500 (2024). Article  Google…
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AI godfather Yann LeCun to leave Meta and start own firm https://www.europesays.com/ie/190722/ Liv McMahonTechnology reporter Getty Images Prof LeCun is known for advancing the deep learning field of AI, and…
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AI godfather Yann LeCun to leave Meta and start own firm https://www.newsbeep.com/nz/144674/ Liv McMahonTechnology reporter Getty Images Prof LeCun is known for advancing the deep learning field of AI, and…
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AI godfather Yann LeCun to leave Meta and start own firm Liv McMahonTechnology reporter Getty Images Prof LeCun is known for advancing the deep learning field of AI, and for his jazzy bowties Just a couple of weeks ago, one of the "godfathers" of artificial intelligence was in St James's Palace…
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• Deep Learning - Use multi-layer neural nets for complex data patterns Use case: High-frequency trading, feature engineering, sentiment analysis, volatility modelling
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4 Major Types of Machine Learning that you should master • Supervised Learning • Unsupervised Learning • Reinforcement Learning • Deep Learning Quant trading use cases for all types of machine learning in …….
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Forecasting visceral #Leishmaniasis in Sudan using hybrid wavelet based deep learning models on climate driven multivariate time series #ActaTropica
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Kemendikdasmen mulai terapkan "deep learning" bertahap di sekolah - https://www.antaranews.com/berita/5255113/kemendikdasmen-mulai-terapkan-deep-learning-bertahap-di-sekolah
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Deep Dive ins Maschinelle Lernen!
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Mendikdasmen: "Deep learning" bukan kurikulum tapi strategi belajar - https://www.antaranews.com/berita/5255049/mendikdasmen-deep-learning-bukan-kurikulum-tapi-strategi-belajar
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From Pixels to Masterpieces: The Impact of AI on Art Artificial intelligence is increasingly being used as a tool for art creation, revolutionizing the creative process and up new possibilities for artists. AI technologies such as deep learning algorithms and generative adversarial networks have…
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Evaluating the Robustness of Deep Learning Models against Adversarial Attacks: An Analysis with FGSM, PGD and CW via @BDCC_MDPI: https://mdpi.com/2639834
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Je te dis que le modèle est programmé pour refléter la vision du monde de Musk. Et tu me demande comment fonctionne le deep learning? Qui gonfle qui? En quoi c'est utile de connaitre ça pour voir que le modèle est influencé par Musk? Faut pas être LeCun pour dire que le modèle est influencé.
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Fine-tuning Audio-MAE and PANNs for COVID-19 detection showed limited generalization despite demographic stratification; small dataset sizes hinder deep learning performance.
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Feigenbaum’s Knowledge Engineering remain highly relevant, even though the technology landscape (LLMs, deep learning) has changed dramatically since 1980... stacks.stanford.edu/file/druid:c...
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Johannes C. Bauer, Paul Geng, Stephan Trattnig, Petr Dokl\'adal, R\"udiger Daub A Dataset and Baseline for Deep Learning-Based Visual Quality Inspection in Remanufacturing https://arxiv.org/abs/2511.15440
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Xabier Lekunberri, Ahmad Kamal, Izaro Goienetxea, Jon Ruiz, I\~naki Quincoces, Jaime Valls Miro, Ignacio Arganda-Carreras, Jose A. Fernandes-Salvador Deep Learning for Accurate Vision-based Catch Composition in Tropical Tuna Purse Seiners https://arxiv.org/abs/2511.15468
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Introduction : JupyterLab notebooks are used for all sorts of data science tasks such as exploratory data analysis (EDA), data cleaning and transformation, data visualization, statistical modelling, machine learning, and deep learning.
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Could #AI Driven Acceleration Techniques be One Answer to the Issue of Environmental #Sustainability in #MRI? By Angela Borella (Monash Health, Melbourne) & Justin Warner (Castlereagh Imaging, Sydney). Learn more at: www.magnetomworld.siemens-healthineers.com/clinical-cor... #RadSky #DeepLearning
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Proud to share our latest research: #Deep #learning for plant #disease classification, #pest detection, and model #explainability Accessible at: doi.org/10.1186/s128... #PlantScience #DeepLearning #AIinAgriculture #Sustainability #AgTech
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Excited to announce our book “Neuroevolution: Harnessing Creativity in AI Agent Design” by Sebastian Risi, Yujin Tang, Risto Miikkulainen, and myself. We explore decades of work on evolving intelligent agents and shows how neuroevolution can drive creativity in deep learning, RL, LLMs and AI Agents!
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Characterizing the Impact of Training Data on Generalizability: Application in Deep Learning to Estimate Lung Nodule Malignancy Risk https://doi.org/10.1148/ryai.240636 #BIRAC25 #radiology
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Christian V. Guthier, et al.: Clinical Validation and Prospective Deployment of an Automated Deep Learning-Based Coronary Segmentation and Cardiac Toxicity Risk Prediction System https://arxiv.org/abs/2511.14971 https://arxiv.org/pdf/2511.14971 https://arxiv.org/html/2511.14971
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Chugh, Sreenarayanan, Suwito, Raghavendran, Hwang, Meng, Su: Deep Learning Assisted Prediction of Electrochemical Lithiation State in Spinel Lithium Titanium Oxide Thin Films https://arxiv.org/abs/2511.15109 https://arxiv.org/pdf/2511.15109 https://arxiv.org/html/2511.15109
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Aimee Schechter, Aleksandra Ciprijanovic, Rebecca Nevin, Julie Comerford, Xuejian Shen, Aaron Stemo, Laura Blecha: Toward Complete Merger Identification at Cosmic Noon with Deep Learning https://arxiv.org/abs/2511.15006 https://arxiv.org/pdf/2511.15006 https://arxiv.org/html/2511.15006
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Wang, Shi, Zhang, Liu, Li, Jiang, Ma: Deep-learning mitigation of foregrounds and beam effects in 21-cm intensity mapping using hybrid frequency differencing and PCA https://arxiv.org/abs/2511.15072 https://arxiv.org/pdf/2511.15072 https://arxiv.org/html/2511.15072
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Kelebek, Wolniewicz, Vergalla, Mestici, Acciarini, Poduval, Verkhoglyadova, Guhathakurta, Berger, Soboczenski, Baydin: IonCast: A Deep Learning Framework for Forecasting Ionospheric Dynamics https://arxiv.org/abs/2511.15004 https://arxiv.org/pdf/2511.15004 https://arxiv.org/html/2511.15004
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Shourov Joarder, Tushar Talukder Showrav, Md. Kamrul Hasan: Multi-Stage Residual-Aware Unsupervised Deep Learning Framework for Consistent Ultrasound Strain Elastography https://arxiv.org/abs/2511.15640 https://arxiv.org/pdf/2511.15640 https://arxiv.org/html/2511.15640
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Lekunberri, Kamal, Goienetxea, Ruiz, Quincoces, Miro, Arganda-Carreras, Fernandes-Salvador: Deep Learning for Accurate Vision-based Catch Composition in Tropical Tuna Purse Seiners https://arxiv.org/abs/2511.15468 https://arxiv.org/pdf/2511.15468 https://arxiv.org/html/2511.15468
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Johannes C. Bauer, Paul Geng, Stephan Trattnig, Petr Dokl\'adal, R\"udiger Daub: A Dataset and Baseline for Deep Learning-Based Visual Quality Inspection in Remanufacturing https://arxiv.org/abs/2511.15440 https://arxiv.org/pdf/2511.15440 https://arxiv.org/html/2511.15440
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I used to be so interested in machine learning, deep learning, neural networks, LLMs, image generation models and so on. Then I started seeing every robotics video turn into "off-the-shelf robot and off-the-shelf vision model presented as something new and innovative" and got tired of it
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Shourov Joarder, Tushar Talukder Showrav, Md. Kamrul Hasan Multi-Stage Residual-Aware Unsupervised Deep Learning Framework for Consistent Ultrasound Strain Elastography https://arxiv.org/abs/2511.15640
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A deep learning model captures position-specific effects of plant regulatory sequences and suggests genes under complex regulation doi.org/10.1101/2025... NAVIP: Unraveling the Influence of Neighboring Small Sequence Variants on Functional Impact Prediction doi.org/10.1101/596718
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Rényi Differential Privacy for Heavy-Tailed SDEs via Fractional Poincaré Inequalities Benjamin Dupuis, Mert Gürbüzbalaban, Umut Şimşekli, Jian Wang, Sinan Yildirim, Lingjiong Zhu http://arxiv.org/abs/2511.15634
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Deep-learning mitigation of foregrounds and beam effects in 21-cm intensity mapping using hybrid frequency differencing and PCA https://arxiv.org/pdf/2511.15072 Zitong Wang, Feng Shi, Le Zhang, Yanming Liu, Xiaoping Li, Ming Jiang, Xiaofan Ma.
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Toward Complete Merger Identification at Cosmic Noon with Deep Learning https://arxiv.org/pdf/2511.15006 Aimee Schechter, Aleksandra Ciprijanovic, Rebecca Nevin, Julie Comerford, Xuejian Shen, Aaron Stemo, Laura Blecha.
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Deep Learning Assisted Prediction of Electrochemical Lithiation State in Spinel Lithium Titanium Oxide Thin Films https://arxiv.org/pdf/2511.15109 Devin Chugh, Bhagath Sreenarayanan, Steven Suwito, Ganesh Raghavendran, Bing Joe Hwang, Ying Shirley Meng, Weinien Su.
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x.com/Imbackbitche... Hybrid Deep Learning Techniques for Securing Bioluminescent Interfaces in Internet of Bio Nano Things search.brave.com/search?q=Hyb...
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Did something happen? I saw a bunch of comments about this elsewhere. It used to be a computer vision thing, then deep learning people picked it up, and it became endemic. Partha Niyogi and Shmuel Wienberger and co., who introduced it to the ML mainstream used to be quite careful.
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[2025-11-20]
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[2025-11-20]
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[2025-11-20]
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Kingdom Hearts ReCOM Sora’s Story - Unique battle system, a lot of fun when I figured out the gameplay loop and how to cheese most battles. Some endgame fights were tough and required deep learning for the game. The story was confusing but enjoyable when it came together. Riku’s story next!
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Crack Detection and Segmentation for Bridges Using State-of-the-Art Deep Learning Methods: Single-Stage vs. Two-Stage Detectors Paper ID: 315 – ISARC 2025 by Ahmed Assad IAARC youtu.be/lque1Ekz7ng?...
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[2511.15004] Halil S. Kelebek et al.: IonCast: A Deep Learning Framework for Forecasting Ionospheric Dynamics. link
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AI Agents Fail Manipulation Tests in Microsoft's Magentic Marketplace Simulation Researchers at Microsoft, working in collaboration with Arizona State University, have introduced Magentic Marke... #Deep #Learning #Security #Vulnerabilities #Prompt #Engineering […] [Original post on infoq.com]
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Deep learning based ischemic lesion markers on non-contrast head CT compared to CTP and DWI https://www.medrxiv.org/content/10.1101/2025.11.18.25340504v1
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Mark your calendar for our 70th Vienna Deep Learning Meetup at Magenta Telekom. We’re bringing a lineup of great talks from Muhamed Loshi (RBI) and my colleagues Jonathan Scott & Kristina Kapanova (ISTA). Join us for federated learning, agentic AI security & scientific HPC!
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Learn how a Convolutional Neural Network recognizes images by building a simple one step-by-step in Excel. Angela Shi's new article makes the core concepts of deep learning visible and easy to understand.
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RayBNN dataloader crates.io/crates/RayBN... converting all numpy into RUST
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Just published in JOSS: 'DeepInverse: A Python package for solving imaging inverse problems with deep learning' https://doi.org/10.21105/joss.08923
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(4) To map low-affinity motifs in their genomic context, we trained ChromBPNet (from the lab of @anshulkundaje.bsky.social) deep learning models in mESCs, learning the expected pluripotency TF motifs. We then validated the Oct4-Sox2 motif mappings through high-resolution TF binding footprints.
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Struggling with slow GPU provisioning for deep learning server needs? Runpod offers milliseconds cold-start times and globally distributed powerful GPUs, enabling instant deployment for AI workloads.
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Deploy LLMs on Amazon EKS using vLLM Deep Learning Containers #eks #kubernetes
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Libby Barnes moved to Boston University this year and is hiring new postdocs! Applicants who have a strong background in environmental science and deep learning are encouraged to apply. Feel free to DM me if you have questions
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Mission transmission incoming! Interactive E-Sync Deep Learning with Mohammed El-Bharrat Join Mohammed as he guides the audience through an interactive exploration of how emergency services can collaborate with drone technology across the digital galaxy. youtu.be/f2EJUJpsVuM
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The new American economy is just Gambling and AI. No actual production of value. Siphoning money, thought, focus & culture to enrich the few. Gambling is prediction with added stakes. Deep Learning AI models are predictors: guess the outcome given a current state. A match made in hell.
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crates.io/crates/itert... must have itertools for the machine and deep learning .
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More itertools crates.io/crates/more-... must have crate for machine learning and deep learning.
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New Title Alert: Icecream- a self-supervised framework for cryo-ET reconstruction that integrates equivariance principles from modern imaging theory into a deep-learning architecture. Learn more here: buff.ly/bdepEUm #SBGrid #SBGridSoftware #StructuralBiology
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Egui-desktop: crates.io/crates/egui-... going to build a desktop enabled machine and deep learning framework.
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Tuples for machine learning. All iterators you need for tuples for machine learning. crates.io/crates/tuples . There used to be also a tuples iterator. Collecting and finding all relevant crates for all machine and deep learning and posting here.
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A deep learning framework for building INDEL mutation rate maps https://www.biorxiv.org/content/10.1101/2025.11.18.689146v1
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A deep learning framework for building INDEL mutation rate maps https://www.biorxiv.org/content/10.1101/2025.11.18.689146v1
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when someone says i say here are the resources for RUST
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If deep learning is System 1 and logic is System 2, Neuro-Symbolic AI is the brain reunited. Hallucination-resistant, explainable, AGI-relevant: gregrobison.medium.com/neuro-symbol...
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Empirical Corporate Finance and Deep Learning
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Join our online course (23-26 Mar 2026) on Machine & Deep Learning in #PopulationGenomics & #Phylogeography! Learn to simulate genetic data, apply CNNs for demographic inference & detect selection signals. www.physalia-courses.org/courses-work... #AI #MachineLearning #DeepLearning
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Just published in JOSS: 'reflectorch: a deep learning package for X-ray and neutron reflectometry' https://doi.org/10.21105/joss.08169
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We invite applications for the position of a Professor in Deep Learning. Applicants are requested to submit their documents to the Faculty of Science at the University of Basel as specified in the job advertisement by 18.12.2025: jobs.unibas.ch/offene-stell...
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wasmedge.org/docs/ Wasmedge for high performance scalability in RUST
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An inspiring start to #ECSS_2025: leadership insights, exchange & celebrating Informatics research excellence! Congrats to Andrea Cini (USI)'s "Graph Deep Learning for Time Series Forecasting" for winning IE Best Dissertation Award this year!
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And inherent wrongness defaulted into deep learning models? That's a bold claim that doesn't align with any of the known results. I'd be interested in your sources on that.
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Cajal to deep nets: what maps and what fails - representation, wiring, sparsity, plasticity; analysis: https://glcnd.io/cajals-legacy-bridging-neuroscience-and-deep-learning-in-the-digital-age/ #NeuroAI #AI #Cajal [v:gate|bg:#000|fx:scan|ac:cyan]
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ça fait 6 mois qu'on l'entend. ça fait au moins 6 ans que les gens qui connaissent un peu l'histoire de l'IA mettent en garde contre la bulle deep learning. ça /doit/ claquer. mais quand... ?
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A deep dive into deep learning for BCIs! Explore how deep neural networks are enhancing neural decoding, the opportunities that remain untapped, and the unique challenges this domain faces. #neuroskyence #NeuroTech #NeuroAI #BCI
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A Brief History: From Theoretical Concepts to Global Reality The Core Concepts: How Does AI Actually Work? Machine Learning (ML): The Engine of Modern AI Deep Learning and Neural Networks Natural Language Processing (NLP) Understanding pintiu.com/ai-your-ulti...
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In a new paper, UBC Computer Science researchers present a deep learning model to help scientists integrate and generate new multiomics data. Read more: www.cs.ubc.ca/news/2025/10...
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One notable paper on this topic is at https://doi.org/10.1080/07388551.2024.2383754 which discusses how deep learning models trained on biosynthetic reactions are transforming natural product discovery and synthesis.
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Here's a fun opinion piece I wrote with some friends this summer. How has the field of deep learning in plant phenotyping changed over its first ten years? www.sciencedirect.com/science/arti...
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Struggling with slow GPU spin-up times delaying your AI development? Runpod offers milliseconds cold-start with flashboot, so you can deploy and start building instantly. Boost your deep learning server workflows today and accelerate your AI projects seamlessly.
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Deep-learning deconvolution and segmentation of fluorescent membranes for high-precision bacterial cell-size profiling [new] DL deconvolves/segments membrane images for fast bacterial size.
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Kick off your #hapc26 experience early! Join a Pre-Con Workshop for deep learning, expert insights & peer connections before the main event. Explore 13 workshops & register today → https://ow.ly/QMVH50Xisc1
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Deep-learning deconvolution and segmentation of fluorescent membranes for high-precision bacterial cell-size profiling https://www.biorxiv.org/content/10.1101/2025.10.26.684635v1
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Deep-learning deconvolution and segmentation of fluorescent membranes for high-precision bacterial cell-size profiling https://www.biorxiv.org/content/10.1101/2025.10.26.684635v1
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PRSformer: Disease Prediction from Million-Scale Individual Genotypes [new] Deep learning w/ neighborhood attention predicts disease from million-scale genotype data by learning genetic interactions.
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SNRAware: Improved Deep Learning MRI Denoising with Signal-to-noise Ratio Unit Training and G-factor Map Augmentation https://doi.org/10.1148/ryai.250227 @ucl.ac.uk #radiology #heart #cardiac
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Imagine combining deep learning with real-time player telemetry… You don’t just predict goals — you predict greatness. ⚽
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#3 mit Schwerpunkt auf dem iterativen und empirischen Charakter von KI-Entwicklung, denn Deep Learning (DL) Projekte unterscheiden sich grundsätzlich von traditionellen Softwareprojekten, da der Entwickler zwar den Code, aber selten die Daten vollständig kontrolliert ... 1/3
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Application of Deep Learning Models for Real-Time Automatic Malware Detection via @IEEEAccess: https://ieeexplore.ieee.org/document/10620215
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MSR NYC is hiring senior researchers in AI, both broadly in AI/ML & in specific areas (post-training, test-time scaling, modular transfer learning, science of deep learning). aka.ms/msrnyc-jobs We're reviewing on a rolling basis, interviews in Nov/Dec. Please apply here: tinyurl.com/MSRNYCjob
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Deep learning applications advance plant genomics research by Wenyuan Fan, Zhongwei Guo, Xiang Wang, Lingkui Zhang, Yuanhang Liu, Chengcheng Cai, Kang Zhang, and Feng Cheng doi.org/10.1016/j.hp... via Horticultural Plant Journal
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Are you interested in developing new deep learning and MRI technology for faster, more accurate whole-body MRI scans? Here is an exciting PhD opportunity to do this, and to join an outstanding interdisciplinary imaging research team! Please get in touch. ucl-epsrc-dtp.github.io/2026-27-proj...
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0. How Uber Makes Black-Box Deep Learning Models Explainable: ► www.uber.com/blog/enabli...
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Our new paper in iScience is out!
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New paper out!
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First up at today's EN-PM is Johnny Tam. Talk title: Deep learning digital speech biomarkers of dysarthria in motor neuron disease.
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The only really useful AI applications are pattern matching/deep learning ones, for stuff like image recognition, detecting cancer cells, stuff like that. Which doesn't get the big investment bucks flowing because private equity CEOs are typically not well enough educated to tell what's useful.
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Accurate protein structure determination from cryo-EM maps using deep learning and structure prediction https://www.biorxiv.org/content/10.1101/2025.10.23.684082v1
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M-DeepAssembly2: A Web Server for Predicting Multiple Conformations of Multi-domain Proteins Using Deep Learning https://www.biorxiv.org/content/10.1101/2025.10.23.684122v1
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4) a preliminary deep learning model (github.com/morchalabi/P...) has been trained on the primary TME of our patients that predicts liver vs non-liver recurrence for new patients (single-cell transcriptomic data).
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I would be very much glad in seeing the entire model write in RUST
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I would be very much glad in seeing the entire model write in RUST
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S. Braichenko, @ruiborges23.bsky.social and C. Kosiol publish a new GBE Perspective on the potential applications of deep learning approaches in phylogenetics.
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The Ray project will join existing projects like @pytorch.org itself, the vLLM inference engine and deep learning optimization library DeepSpeed. By @fredericl.bsky.social
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Angle-resolved scatterometry combined with deep learning assisted in-situ monitoring of nanowire doping in molecular beam epitaxy process ->Nature | More from Lil Dr Glen EcoChat at BigEarthData.ai
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Cell Decoder: decoding cell identity with multi-scale explainable deep learning. #SingleCellOmics #CellCharacterization #GenomeBiology
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Abdullah Turer, Yongsheng Bai, Halil Sezen, Alper Yilmaz Deep learning-based automated damage detection in concrete structures using images from earthquake events https://arxiv.org/abs/2510.21063
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Deep learning approaches to map individual differences in macroscopic neural structure with variations in spatial navigation behavior: https://osf.io/v73e8
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Salomonsen, Wickstr{\o}m, Kuttner, Wetzer: Physics-Informed Deep Learning for Improved Input Function Estimation in Motion-Blurred Dynamic [${}^{18}$F]FDG PET Images https://arxiv.org/abs/2510.21281 https://arxiv.org/pdf/2510.21281 https://arxiv.org/html/2510.21281
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Jian Zu, Zhiguo Xu, Jingyue Hao: A Deep Learning Framework for Identifying Weakly Chaotic, Strongly Chaotic, Resonant and Non-resonant Orbits in the Generalized Kicked Rotator https://arxiv.org/abs/2510.21318 https://arxiv.org/pdf/2510.21318 https://arxiv.org/html/2510.21318
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Yinglong Zou, Juan Zhai, Chunrong Fang, An Guo, Jiawei Liu, Zhenyu Chen: Scalpel: Automotive Deep Learning Framework Testing via Assembling Model Components https://arxiv.org/abs/2510.21451 https://arxiv.org/pdf/2510.21451 https://arxiv.org/html/2510.21451
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Jiabo Shi, Dimitrios Pezaros, Yehia Elkhatib: xMem: A CPU-Based Approach for Accurate Estimation of GPU Memory in Deep Learning Training Workloads https://arxiv.org/abs/2510.21048 https://arxiv.org/pdf/2510.21048 https://arxiv.org/html/2510.21048
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Francesco Martinuzzi: Unified Implementations of Recurrent Neural Networks in Multiple Deep Learning Frameworks https://arxiv.org/abs/2510.21252 https://arxiv.org/pdf/2510.21252 https://arxiv.org/html/2510.21252
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Chao Wang, Zhizhao Wen, Ruoxin Zhang, Puyang Xu, Yifan Jiang: GPU Memory Requirement Prediction for Deep Learning Task Based on Bidirectional Gated Recurrent Unit Optimization Transformer https://arxiv.org/abs/2510.20985 https://arxiv.org/pdf/2510.20985 https://arxiv.org/html/2510.20985
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Abdullah Turer, Yongsheng Bai, Halil Sezen, Alper Yilmaz: Deep learning-based automated damage detection in concrete structures using images from earthquake events https://arxiv.org/abs/2510.21063 https://arxiv.org/pdf/2510.21063 https://arxiv.org/html/2510.21063
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Transformer Mimarisi: ChatGPT’nin Beynini Anlamak Yapay zekâ bugün hayatımızın her alanında: yazarken bize yardım eden asistanlar, görselleri saniyeler içinde üreten modeller, hatta… ... #deep-learning #chatgpt #machine-learning #artificial-intelligence #ai Origin | Interest | Match
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In a new #SRL paper, a team of scientists combines a deep-learning based algorithm with DAS to recognize individual footfalls. ⚒️ pubs.geoscienceworld.org/ssa/srl/arti...
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Attcatvgg-Net: an Explainable Multioutput Deep Learning Framework for Cataract Stage Classification and Visual Acuity Regression using Multicolor Fundus Images [new]
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Attcatvgg-Net: an Explainable Multioutput Deep Learning Framework for Cataract Stage Classification and Visual Acuity Regression using Multicolor Fundus Images https://www.biorxiv.org/content/10.1101/2025.10.25.684563v1
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Attcatvgg-Net: an Explainable Multioutput Deep Learning Framework for Cataract Stage Classification and Visual Acuity Regression using Multicolor Fundus Images https://www.biorxiv.org/content/10.1101/2025.10.25.684563v1
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tech.preferred.jp/ja/blog/chai... 画像の自動生成は、Deep Learning研究者の一つの夢であり、多くの研究者が研究しているテーマです。 と2015年9月から出てるからなぁ
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Detect network threats sooner: deep learning for traffic anomaly detection - architectures; features; evaluation - full study: https://glcnd.io/deep-learning-for-network-traffic-anomaly-detection-a-comprehensive-study/ #NetSec #AI #Anomaly
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Meta’s chief AI scientist warns that humanoid robot startups are in a bubble bubble Amid growing - Amid growing fears that the AI boom is turning into a bubble, a widely respected scientist and pioneer of deep learning has now warned of another bubble taking place: the humanoi
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People were failing to distinguish computer-generated music from human-composed over a decade ago, before LLMs or even deep learning. But I guess AI research has no sense of its own history. (Also, of course, it proves nothing.)
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Even Geoff Hinton can't predict how the deep learning algos will develop. Check back in 20 years.
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It serves as a nice reminder to me that some of the most elegant solutions in machine learning and statistics aren't always the newest deep learning architectures. Sometimes, good old Bayesian inference with smart sampling strategies can create something really cool!
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Don't confuse speculation & stewardship. Wise counsel suggests gradual entry & deep learning over reckless pursuit of quick wealth. Start small. Prudence guides the independent investor.
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Earlier this year I built a Deep Q-Network in C to test my deep learning skills. No external dependencies. Standard C libraries and my own code. Code: github.com/TristanJLegg... NN + backprop, replay buffer & target net, train/eval/save and a small RL env with renderer + Y4M video writer.
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Abs 058 Kang (Korea)
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Abs 0538 Alnaqbi et al
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Recent articles on #AI in radiology: * AI for Radiology: A Primer Part I. From Idea to Algorithm https://pubmed.gov/41117645 * Multicenter study of CT-based deep learning for predicting preoperative T staging and TNM staging in clear cell renal cell carcinoma https://pubmed.gov/41107801
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"Deep Learning–Based Generation of DSC MRI Parameter Maps Using Dynamic Contrast-Enhanced MRI Data" doi.org/10.3174/ajnr...
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Deep learning for drug discovery—manual trial and error is history. New AI skips a thousand steps in seconds. Drug design, now with a turbo button. #AIBreakthrough #FutureMedicine #PharmaRevolution
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NEW ARTICLE: The Heretic: Jürgen Schmidhuber. The AI pioneer's LSTM tech powered Siri/Alexa years before the AI revolution. His 1990s work predated deep learning. Full story reveals ongoing credit battle.
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Predicting water scarcity in northern Bangladesh using deep learning and climate data https://www.newsbeep.com/ca/241525/ Baseline Maps Figures 1 and 2a illustrate the area percentage of drought susceptibility classes across three agricultural periods:…
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GraphComm Deep Learning framework for spatially-aware cell-cell communication integrating OmniPath protein complex & pathway info (beyond ligand-receptor interactions) github.com/bhklab/Graph... vs COMMOT SOAPy vs HoloNet SpatialDM #SciRep 2025 www.nature.com/articles/s41...
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DeepMTS, a Deep Learning Model for Multivariate Time Series https://thierrymoudiki.github.io/blog/2024/01/15/python/quasirandomizednn/forecasting/DeepMTS #Techtonique #DataScience #Python #rstats #MachineLearning
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#animal tool use: Capturing tool-expertise development with a deep learning network CurrentBiology
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Also general analysis and PDE theory disregards dimension completely: all bounds have a "costant depending on dimension".. taking directly results from books becomes pretty useless for use deep learning, one would have to redo all the proofs keeping the dimension dependence => nobody takes the time
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Discover ASOptimizer: a web tool leveraging deep learning to enhance ASO diversity and efficiency. Input sequences, get optimized results fast! PMID:40377084, Nucleic Acids Res 2025, @NAR_Open https://doi.org/10.1093/nar/gkaf392 #Medsky #Pharmsky #RNA #ASHG #ESHG
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Deep Learning Breakthroughs: The AI That's Changing Our World #AlphaFoldproteinfolding #deeplearningbreakthroughs #reinforcementlearningsuccesses #diffusionmodels #AIinnovations #transformermodels #generativeAI #neuralnetworkadvancements #multimodalAI #largelanguagemodels
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For Leptidoptera, our parameters come out on top of other deep learning gene finders but we are not yet certain whether they are competitive with BRAKER3. Fungal parameters are work in progress: Accuracy is very similar to other ab initio methods that we benchmarked.
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Predicting water scarcity in northern Bangladesh using deep learning and climate data https://www.europesays.com/uk/528721/ Baseline Maps Figures 1 and 2a illustrate the area percentage of drought susceptibility classes across three agricultural periods:…#uk #news #uknews
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Deep learning auto-segments canine liver on CT—speeding diagnosis and pre-op planning; case: https://glcnd.io/automatic-liver-segmentation-in-dogs-using-deep-learning-and-ct-images/ #VetAI #CT #AI
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Predicting water scarcity in northern Bangladesh using deep learning and climate data https://www.newsbeep.com/us/252233/ Baseline Maps Figures 1 and 2a illustrate the area percentage of drought susceptibility classes across three agricultural periods:…
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A key paper on this is "Deep-learning seismology" by Mousavi and Beroza, published in Science, which discusses advances in seismic data analysis using AI. You can read it at https://www.science.org/doi/10.1126/science.abm4470
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Did you know recent research in seismology has improved seismic wave detection using deep learning techniques? This allows for faster and more accurate earthquake analysis, potentially saving lives. Could AI revolutionize how we predict and respond to quakes?
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MR-Transformer: A Vision Transformer-based Deep Learning Model for Total Knee Replacement Prediction Using MRI https://doi.org/10.1148/ryai.240373 @cem.bsky.social @cai2r.net #ECAI2025 #AI #MachineLearning
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Predicting water scarcity in northern Bangladesh using deep learning and climate data https://www.newsbeep.com/uk/226040/ Baseline Maps Figures 1 and 2a illustrate the area percentage of drought susceptibility classes across three agricultural periods:…
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The job market is brutal these days. But you might ask how do we stand out, do these free courses. Then thank yourself later ❤ ​AI Agent Developer: imp.i384100.net/LKg20V ​Prompt Engineering: imp.i384100.net/55Knjb ​Deep Learning: imp.i384100.net/XmWN1G Here are some of them comment for more
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AI bots could match scientist-level design problem solving Engineers at Duke University have constructed a group of AI bots that together can solve complex design problems nearly as well as a fully... #Tech #deep #learning Origin | Interest | Match
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Prediction of advanced chronic kidney disease through retinal fundus images by deep learning ->Nature | More from Lil Dr Glen EcoChat at BigEarthData.ai
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“Natural Language Processing ( #NLP) is a field of #AI that combines computer science, linguistics, and machine learning ..generate human language. ..unstructured text and speech to perform tasks like sentiment analysis, translation, and powering chatbots. How NLP works” go.bsky.app/CUuio7g
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Prediction of Early Neoadjuvant Chemotherapy Response of Breast Cancer through Deep Learning-based Pharmacokinetic Quantification of DCE MRI https://doi.org/10.1148/ryai.240769 #ESCR2025 #CVRad #radiology
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The Ray project will join existing projects like @pytorch.org itself, the vLLM inference engine and deep learning optimization library DeepSpeed. By @fredericl.bsky.social
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[Nature.com]This AI method could turbocharge the hunt for new medicines - Nature A deep-learning design sidesteps the need for time-consuming drug-screening.
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Uncertainty Quantification of Central Canal Stenosis Deep Learning Classifier from Lumbar Sagittal T2-Weighted MRI https://www.medrxiv.org/content/10.1101/2025.10.24.25338153v1
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Deep-learning-based virtual screening of antibacterial compounds ->Nature | More from Lil Dr Glen EcoChat at BigEarthData.ai
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Single Inspiratory Chest CT-based Generative Deep Learning Models to Evaluate Functional Small Airway Disease https://doi.org/10.1148/ryai.240680 #ESCR2025 #CVRad #radiology
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Canine liver CT, auto-segmented: deep learning cuts planning time and boosts accuracy—full case: https://glcnd.io/automatic-liver-segmentation-in-dogs-using-deep-learning-and-ct-images/ #VetAI #CT #AI
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Nouvelle publication au Limos : 'XLITE-Unet: Extremely Light and Efficient Deep learning architecture with selective atrous and axial depthwise convolution for image segmentation' - https://hal.science/hal-05330585v1
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Variational Autoencorders: the cognitive scientist's favorite deep learning tool has been released on media.ccc.de #realraum #LoTHR #LoTHR #realraumeng https://media.ccc.de/v/realraum-variational-autoencorders-the-cognitive-scientist-s-favorite-deep-learning-tool
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This is a different pattern, deep learning neural networks, but they can be combined with evolutionary algorithms. The neural network is the agent, the agents reproduce and are different with each generation, and you see how well they work.
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bro thinks deep learning = generative AI lmao
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Recent articles on #AI in radiology: * A systematic literature review on mammography: deep learning techniques for breast cancer detection with global and Asian perspectives https://pubmed.gov/41126088 * Automated AI detection of thoracic aortic dissection on CT imaging https://pubmed.gov/41123773
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Our multiview deep learning framework, MDNet-TFP, tackles the challenge of accurate transcription factor binding site (TFBS) prediction by leveraging multiple DNA sequence representations and diverse processing strategies.
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Unlock the secrets of gene regulation with our cutting-edge deep learning framework that predicts transcription factor binding sites with unparalleled precision, paving the way for ground...
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@NonDestructiv @burkov His work on Deep Learning, esp. CNNs & such. E.g.: LeCun, Y., Bengio, Y., & Hinton, G. (2015). Deep learning. Nature, 521(7553), 436-444. doi:10.1038/nature14539. "Fathers of the Deep Learning Revolution Receive ACM A.M. Turing Award Bengio, Hinton and LeCun Ushered in Major
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@skdh Not only it's unrelated to Physics, but one may wonder why in that case LeCun was not, at least, sharing the price. LeCun, Y., Bengio, Y., and Hinton, G., 2015. Deep learning. Nature, Vol. 521, Issue 7553, pp.436-444, https://t.co/aT3HlZhId0
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Paper to read: LeCun, Y., Bengio, Y. & Hinton, G. Deep learning. Nature 521, 436–444 (2015). https://t.co/0sQdURJTJB
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Kowalski, R. A., & Sadri, F. (Eds.). (2007). The Oxford handbook of computational logic. Oxford University Press. LeCun, Y., Bengio, Y., & Hinton, G. (2015). Deep learning. Nature, 521(7553), 436–444. https://t.co/DScX6FsVZT Levinson, J. (2010). Automated
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@7YKmcVA2EYP0IyM 이렇게 이미지에서도 잘 돼요! Yann LeCun, Yoshua Bengio, and Geoffrey Hinton. “Deep learning”. In: Nature 521.7553 (May 2015), pp. 436–444. issn: 1476-4687. doi: 10.1038/nature14539. url: https://t.co/rd5SCjRNq5. https://t.co/5VFY2Hyf47
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RT @strnr: Deep Learning (Review, Nature 2015) https://t.co/TIuS1TOJxO https://t.co/YWbIPapQFk
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