In-memory photonic dot-product engine with electrically programmable weight banks.

Wen Zhou, Bowei Dong, Nikolaos Farmakidis, Xuan Li, Nathan Youngblood, Kairan Huang, Yuhan He, C David Wright, Wolfram H P Pernice, Harish Bhaskaran

May 2023 Nat Commun

Synopsis of Social media discussions

The group shows strong interest, with phrases like 'have a read' and hashtags highlighting physics and research, reflecting curiosity. The tone varies from casual mentions to more technical references, such as 'electrically programmable weight banks,' demonstrating both awareness and engagement with the research's technical aspects, though the impact is perceived as potentially significant but not yet fully realized.

A
Agreement
 Moderate agreement

Most discussions express positive views or recognition of the significance of the research, though not all strongly endorse it.

I
Interest
 High level of interest

The posts show high curiosity and engagement with the topic, indicating a strong interest in the technological advancements described.

E
Engagement
 Moderate level of engagement

Participants reference specific aspects like 'electrically programmable' features and the potential of photonic computing, showing moderate depth in their engagement.

I
Impact
 Moderate level of impact

While some acknowledge its potential, the discussions suggest the impact is seen as promising but still emerging, with anticipation for future developments.

Social Mentions

YouTube

1 Videos

Twitter

6 Posts

Metrics

Video Views

41

Total Likes

13

Extended Reach

11,378

Social Features

7

Timeline: Posts about article

Top Social Media Posts

Posts referencing the article

In-Memory Photonic Dot-Product Engine with Programmable Weight Banks

In-Memory Photonic Dot-Product Engine with Programmable Weight Banks

This video discusses an in-memory photonic dot-product engine utilizing electrically programmable weight banks, addressing the von Neumann bottleneck. It highlights innovative approaches in photonic computation to enhance processing efficiency.

STEM RTCL TV

August 20, 2023

41 views

  • Håvard Hem Toftevaag
    @HToftevaag (Twitter)

    RT @OxfordMaterials: Professor Harish Bhaskaran and his team have just published two papers: 'In-memory photonic dot-product engine with…
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    June 2, 2023

    1

  • Oxford Materials
    @OxfordMaterials (Twitter)

    Professor Harish Bhaskaran and his team have just published two papers: 'In-memory photonic dot-product engine with electrically programmable weight banks' & 'Integrated optical memristors': have a read! https://t.co/kX3b5cMcF1 https://t.co/7TUdMRdtYb
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    June 1, 2023

    5

    1

  • Jona Guo
    @guoxiaojiao33 (Twitter)

    RT @InnovationPhys: @NatureComms In-memory photonic dot-product engine with electrically programmable weight banks. #physcis #news #resear…
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    May 22, 2023

    1

  • Bryan Kelly
    @BryanKeIIy (Twitter)

    In-memory photonic dot-product engine with electrically programmable weight banks https://t.co/xStoKsXavN https://t.co/aR25pfgT6D
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    May 21, 2023

    1

  • The Innovation | Physics
    @InnovationPhys (Twitter)

    @NatureComms In-memory photonic dot-product engine with electrically programmable weight banks. #physcis #news #research https://t.co/drXxgX4MJg
    view full post

    May 20, 2023

    7

    1

  • arXiv physics
    @_arXiv_physics (Twitter)

    [2304.14302] Wen Zhou, Bowei Dong, Nikolaos Farmakidis et al.: In-memory photonic dot-product engine with electrically programmable weight banks https://t.co/IwyDlIsZUI https://t.co/JrBJPXXmnV #physics_app_ph
    view full post

    April 27, 2023

Abstract Synopsis