☰

ΑΙhub.org

AI in tweets – October 2020

by Nedjma Ousidhoum

11 November 2020

A new deep learning technique

Ok I wrote another one for the nerds. 😍 Incredible paper out of @Caltech from @AnimaAnandkumar, @kazizzad, Andrew Stuart & students in which they introduced a new deep-learning technique for finding solutions to differential equations at record speeds. https://t.co/FakQRAlZHW

— Karen Hao (@_KarenHao) October 30, 2020

GPT-3 again

In a healthcare test that went horribly wrong, GPT-3 told a mock patient to kill themself. https://t.co/FMaqadrOsZ

— Futurism (@futurism) October 27, 2020

GPT-3 isn't just lacking context, it's lacking *meaning* and *communicative intent* (not to mention accountability for what it says). #WeCNLP2020

— 🍂Emily M. Bender🍂 (@emilymbender) October 31, 2020

Research on the problem of high attrition in the field of AI

Excited to announce new research aimed at learning what’s driving the problem of high attrition on #AI teams — and how to fix it.

Interested in sharing your thoughts? #diversityandinclusion ✍️ → https://t.co/uaJs3k6ARr

— Partnership on AI (@PartnershipAI) October 27, 2020

Humans of AI

Next week, @deviparikh will start releasing episodes of her new podcast, Humans of AI: Stories, Not Stats.

In these episodes, Parikh chats w/ leaders in #AI about their hobbies, thoughts on life, struggles w/ time management, & more. We can't wait!

🎙️: https://t.co/5PueQ2fDQp pic.twitter.com/fxs0ymwzDx

— ML@GT (@mlatgt) October 13, 2020

Promoting diversity in AI

1/3 #WiML is starting a new initiative to promote the achievements and research of women working in ML. We will use dedicated hashtags to promote the work of women from different diversity groups and women who are working on specific ML topics. #WomeninSTEM #WomenInTech #ML

— WiML (@WiMLworkshop) October 26, 2020

A special issue of The Batch

While you wait for course 3 of the GANs Specialization, check out this special issue of The Batch: https://t.co/05ICzWM1QS

Read an exclusive interview with Ian Goodfellow (the inventor of GANs), a summary of GANs for Good (our online panel discussion last month), and more.

— DeepLearning.AI (@DeepLearningAI_) October 20, 2020

Nedjma Ousidhoum is a postdoc at the University of Cambridge.

AIhub is supported by:

The Machine Ethics Podcast: featuring Marc Steen

In this episode, Ben chats to Marc Steen about AI as tools, the ethics of business models, writing "Ethics for People Who Work in Tech", and more.

06 June 2023, by The Machine Ethics Podcast

On privacy and personalization in federated learning: a retrospective on the US/UK PETs challenge

Studying the use of differential privacy in personalized, cross-silo federated learning.

05 June 2023, by ML@CMU

VISION AI Open Day: Trustworthy AI

Watch the roundtable discussion on trustworthy AI, with a focus on generative models, from the AI Open Day held in Prague.

02 June 2023, by AIhub Editor

PeSTo: an AI tool for predicting protein interactions

The model can predict the binding interfaces of proteins when they bind other proteins, nucleic acids, lipids, ions, and small molecules.

01 June 2023, by EPFL

Tetris reveals how people respond to an unfair AI algorithm

An experiment in which two people play a modified version of Tetris revealed that players who get fewer turns perceive the other player as less likeable, regardless of whether a person or an algorithm allocates the turns.

31 May 2023, by Cornell University

AIhub monthly digest: May 2023 – mitigating biases, ICLR invited talks, and Eurovision fun

Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.

30 May 2023, by Lucy Smith