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: 17.08.2022.

Law

Greenhouse gas remediation

Netflix

Minority group

Input

Service provider

@MSFTResearch shared

On Aug 10, 2022

"...we have to help invent techniques to mitigate climate change," says @RanveerChandra, managing director of Research for Industry and CTO of Agri-food at Microsoft. That's where AI and data modelling are being used to address carbon capture and storage: https://t.co/whmPEuRbgD

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Using AI and machine learning to kickstart climate change fightback

www.itpro.com

Fighting climate change with carbon capture or geoengineering means harnessing the power of AI and sophisticated data modelling

@xamat shared

On Aug 12, 2022

@rasbt @mariotelfig I think you're referring to this post @rasbt https://t.co/eCSVMotJCA

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On the “Usefulness” of the Netflix Prize

amatriain.net

It has been over 10 years since the Netflix Prize finished, and I was not expecting to write a blog post about it at this point. However, just in the past couple of weeks I have found ...

@stanfordnlp shared

On Aug 10, 2022

RT @PeterHndrsn: @StanfordHAI wrote about our work on learning contextual privacy filters from legal text, how toxicity filters don't always work as expected on legal data, and the "Pile of Law" dataset. Check it out! Blog: https://t.co/kZm5q1Pykj

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Borrowing from the Law to Filter Training Data for Foundation Models

hai.stanford.edu

Using “Pile of Law,” a dataset of legal materials, Stanford researchers explore filtering private or toxic content from training data for foundation models.

@stanfordnlp shared

On Aug 13, 2022

RT @abeirami: @rasbt Chatterji, Haque, and @tatsu_hashimoto prove that undersampling is minimax optimal when dealing with imbalanced data: https://t.co/tgKxTdfX0Q

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Undersampling is a Minimax Optimal Robustness Intervention in Nonparametric Classification

arxiv.org

While a broad range of techniques have been proposed to tackle distribution shift, the simple baseline of training on an $\textit{undersampled}$ dataset often achieves close to ...

@xamat shared

On Aug 14, 2022

RT @vboykis: Any Mandarin speakers feel like checking out the link and the PDF and seeing if Douyin’s algo is actually described as in the article? If so it would be the first public description from the company that I know of how ByteDance’s recsys works. https://t.co/iGujtomHbo

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Chinese Cyberspace Watchdog Releases Filing List of Information Service Algorithms

pandaily.com

On August 12, the Cyberspace Administration of China released a filing list of 30 domestic Internet information service algorithms from NetEase, Qihoo 360, Kuaishou, Meituan and other ...

@fchollet shared

On Aug 13, 2022

RT @carrigmat: Over the last year we've put a lot of effort into refreshing and overhauling everything TensorFlow-related at Hugging Face. We've finally put together a beginner-friendly blog post talking about the library, its API, and how to use it all as a TF engineer! https://t.co/L2oOWiYNfy

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