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Top news of the week: 04.11.2021.

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Research

@glouppe shared
On Nov 1, 2021
RT @ClimateChangeAI: We are excited to announce our first @ClimateChangeAI summer school!🤓👩‍🎓 Are you an #AI expert & want to learn to apply your skills to tackle #ClimateChange? Are you a #Climate expert & want to learn what tools #ML offers? Apply by Dec 17 & learn more: https://t.co/kbxFw895yk https://t.co/uFVwlsgpj0
Open
Climate Change AI Summer School 2022

Climate Change AI Summer School 2022

Climate Change AI Summer School 2022

@jackclarkSF shared
On Oct 28, 2021
RT @open_phil: We're accepting proposals for projects working with deep learning systems that could help us understand and make progress on AI alignment. Learn more about the research directions and the application process here: https://t.co/X1cKzDbldy
Open
Request for proposals for projects in AI alignment that work with deep learning systems

Request for proposals for projects in AI alignment that work with deep learning systems

As part of our work on reducing potential risks from advanced artificial intelligence, we are seeking proposals for projects working with deep learning systems that could help us understand ...

@etzioni shared
On Nov 3, 2021
York Baur: “we need to stop over-applying technology in an effort to replace humans, and instead focus on applying technology to make humans better” Why the iBuying algorithms failed Zillow, and the business world’s love affair with AI https://t.co/rMXZ9L3bKw by @johnhcook
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Why the iBuying algorithms failed Zillow, and what it says about the business world’s love affair with AI

Why the iBuying algorithms failed Zillow, and what it says about the business world’s love affair with AI

Just because a business process can be automated, doesn't necessarily mean it should be automated. And maybe — just maybe — there are components of business that are not better served with ...

@yaringal shared
On Nov 2, 2021
RT @CompSciOxford: Many congratulations to Professor @yaringal who has been announced as one of 5 ‘Samsung AI Researcher of the Year’ award winners. Read more here: https://t.co/xUjlSoW6fV
Open
[Samsung AI Forum 2021] Day 1: AI Research for Tomorrow

[Samsung AI Forum 2021] Day 1: AI Research for Tomorrow

A host of world-renowned academics and researchers from Samsung Electronics, innovative startups and wider industry came together to share their insights on

@WIREDScience shared
On Nov 1, 2021
The National Security Commission on AI included members from Oracle, Google, Microsoft, and Amazon. Some of its recommendations are already federal law. https://t.co/0aDJPnE6jY
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This Group Pushed More AI in US Security—and Boosted Big Tech

This Group Pushed More AI in US Security—and Boosted Big Tech

The National Security Commission on AI included members from Oracle, Google, Microsoft, and Amazon. Some of its recommendations are already federal law.

@stanfordnlp shared
On Nov 3, 2021
RT @gradientpub: Our newest Gradient Update edition is out! In it: 📚 Google AI’s Researchers have trouble publishing after high-profile exits, from @BusinessInsider 📝 Fast Model Editing at Scale, from @StanfordAILab Plus a bunch of others news, papers, and tweets! 👇 https://t.co/AfS49nmIRM
Open
Gradient Update #12: Trouble at Google AI and Correcting Outputs of Language Models

Gradient Update #12: Trouble at Google AI and Correcting Outputs of Language Models

In which we discuss Google AI’s Researchers have trouble publishing after high-profile exits and Fast Modeling at Scale

@jackclarkSF shared
On Nov 3, 2021
We're hiring @anthropicai - help us think about the societal impact of AI models by working as a research engineer on our societal impacts team. https://t.co/8p2n2mHHCZ
Open
Research Engineer, Societal Impacts

Research Engineer, Societal Impacts

At Anthropic, the analysis of machine learning systems is as important as the development of them. As a societal impacts research engineer, you’ll work closely with researchers to design ...

@stanfordnlp shared
On Oct 30, 2021
RT @CatalinVoss: Next Thursday, Jenny Hong and I will be giving a talk with our longtime collaborator – Law & Philosophy Professor Kristen Bell –about our effort to analyzes 35,105 parole hearings from the State of California using NLP. https://t.co/jjWg4bXSOi
Open
Reading 35,000 Parole Hearing Transcripts – A New Direction for Machine Learning in Criminal Law

Reading 35,000 Parole Hearing Transcripts – A New Direction for Machine Learning in Criminal Law

This event is free and open to the public. Registration is required in order to receive Zoom access info. Most applications of machine learning in cri

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