Artificial Intelligence

AI Research News

Discover the latest AI research & find out how AI, Machine Learning and advanced algorithms impact our lives, our jobs and the economy, all thanks to expert articles that include discussion on the potential, limits and consequences of AI.

Top news of the week: 24.08.2022.

#WANN
#dataviz
#VISxAI
#ExplainableAI
#deepgenerativemodeling
#generativeai
#MAIS22

@fastml_extra shared
On Aug 17, 2022
RT @Bieber: Today we published "A Library for Representing Python Programs as Graphs for Machine Learning", a technical report about the python_graphs library. Report: https://t.co/KNJm3bdvkp GitHub: https://t.co/zukepU7U6b PyPi: https://t.co/t4nuiKsuKe Install: pip install python_graphs https://t.co/CXBxE6bTRJ
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A Library for Representing Python Programs as Graphs for Machine Learning

A Library for Representing Python Programs as Graphs for Machine Learning

Graph representations of programs are commonly a central element of machine learning for code research. We introduce an open source Python library python_graphs that applies static analysis ...

@hardmaru shared
On Aug 20, 2022
RT @artistJaneAdams: I know 2019 is ancient history for ML but I am geeking out at this interactive demo of understanding WANNs for MNIST #VISxAI #ExplainableAI #dataviz #WANN https://t.co/YHrNS8DscA https://t.co/OciFF1Snlk
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Weight Agnostic Neural Networks

Weight Agnostic Neural Networks

Networks that can already (sort of) perform tasks with random weights.

@kastnerkyle shared
On Aug 22, 2022
@NathanFradet @elmanmansimov I've never had too many training issues with coconet, SUNDAE, etc. Haven't trained a lot of the "diffusion" centric discrete models even though they are closely related, maybe bigger issue there. But https://t.co/AjfrlyPz60 + tricks from RevNet https://t.co/UMA1XJR0NG ...
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The Reversible Residual Network: Backpropagation Without Storing Activations

The Reversible Residual Network: Backpropagation Without Storing Activations

Deep residual networks (ResNets) have significantly pushed forward the state-of-the-art on image classification, increasing in performance as networks grow both deeper and wider. However, ...

@stanfordnlp shared
On Aug 17, 2022
RT @StanfordSPARQ: SPARQ Faculty Affiliate @Jurafsky and colleagues used AI to study political speeches on immigration. They found that while U.S. politicians overall voice sympathy toward immigrants, Republicans use more hostile, anti-immigrant rhetoric than Democrats. https://t.co/klb5NMjrKO
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How Have Attitudes Towards U.S. Immigration Changed?

How Have Attitudes Towards U.S. Immigration Changed?

Using AI, scholars track political speech on immigration over decades to find more positive attitudes than at any point in history, but with more partisan divide.

@glouppe shared
On Aug 17, 2022
RT @jmtomczak: It was a great pleasure to talk about #deepgenerativemodeling and #generativeai at CVIT Summer School (https://t.co/KaY3HlHoq5). Slides: https://t.co/yVcIN1vLuJ https://t.co/Cjw2syq3mr https://t.co/z1SzfsWTMh
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Welcome to the 6th Summer School on AI

Welcome to the 6th Summer School on AI

Announcement Aug 17 th , 19:00 - 21:00 (IST) : Towards Detailed Understanding of the Visual World - Fahad Khan Aug 19 th , 19:00 - 21:00 (IST) : General Purpose Visual Recognition …

@DeepMind shared
On Aug 18, 2022
This work uses causal discovery on interventional data from a system to output a mechanised causal graph, which encodes the presence of agents. Read more: https://t.co/OvLBVuq4MJ. Work by @ZacKenton1, Ramana Kumar, @seb_far, Jonathan Richens, @MattBMcDermott and @tom4everitt. 2/2
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Discovering Agents

Discovering Agents

Causal models of agents have been used to analyse the safety aspects of machine learning systems. But identifying agents is non-trivial -- often the causal model is just assumed by the ...

@hugo_larochelle shared
On Aug 18, 2022
RT @SymposiumAi: Have you not registered yet for the Montreal AI Symposium? #MAIS22 ☑️ Register now! https://t.co/4BKgMRWL6z 📅 September 17th 2022, Mila (Montreal) ✨ Keynotes and roundtables on responsible AI 🎤 Contributed talks 📈 Poster session (all AI topics) 🕸️ Networking
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Montreal AI Symposium 2022, an in-person event

Montreal AI Symposium 2022, an in-person event

Event to bring together researchers and practitioners in AI and Machine Learning from the Greater Montreal community.

@stanfordnlp shared
On Aug 22, 2022
RT @mmitchell_ai: “The premise is simple: when companies collect data illegally, they should not be able to profit from either the data or any algorithm developed using it” https://t.co/E1THenya0O
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The FTC’s new enforcement weapon spells death for algorithms

The FTC’s new enforcement weapon spells death for algorithms

It may have found a new standard for penalizing tech companies that violate privacy and use deceptive data practices: algorithmic destruction.