Top news of the week: 13.08.2020.

Machine learning, Learning, Minimax, Erik Brynjolfsson, Massachusetts Institute of Technology, Code reuse

Research

On Aug 12, 2020
@peteskomoroch shared
RT @arkosiorek: Ever wondered how to do machine learning on sets? Here's a fresh blog post on the topic, enjoy! https://t.co/VY2iAc5CbB https://t.co/om8BIEp67D
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Machine Learning of Sets

Machine Learning of Sets

In machine learning, we typically work with input pairs (x, y), and we try to figure out how x and y depend on each other.To do so, we gather many such pairs...

On Aug 12, 2020
@bhorowitz shared
RT @martin_casado: [New Post] The economics of AI / ML companies are poorly understood. In this post, @BornsteinMatt and I cover some of the core challenges and how they are being tackled by top teams in the industry. https://t.co/3s70kx3UOj Highlights below 👇
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Taming the Tail: Adventures in Improving AI Economics

Taming the Tail: Adventures in Improving AI Economics

The long tail of AI is, in some ways, a measure of the complexity of the problem being solved and the effort needed to tackle it. There are, however, ways to treat the long tail as a ...

On Aug 11, 2020
@peteskomoroch shared
RT @schrockn: 1/ Dagster has been public over a year. Last week we pushed out a new version that marks a new level of maturity for the project. We now call Dagster a data orchestrator. Here is a post about what we’ve built, learned, and principles we've developed: https://t.co/aRQGSFDuxw
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Dagster: The Data Orchestrator

Dagster: The Data Orchestrator

As machine learning, analytics, and data processing become more complex and central to organizations, improving the software behind them…

On Aug 6, 2020
@RichardSocher shared
Let's build an #AIEconomist for the real world together! The framework for building RL-friendly economic simulations is now open source! This has so much potential for good. https://t.co/AF9BVuPt8i https://t.co/cipWhvj1PJ https://t.co/5xferEiUkg https://t.co/oa4asja3lY
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The AI Economist: Join the Moonshot

The AI Economist: Join the Moonshot

We are launching an open source collaborative project to build an AI Economist that can be used to guide policy making in the real world. We invite you to join us in our mission to help ...

On Aug 11, 2020
@MSFTResearch shared
With little training data or compute, transfer learning is a simple way to obtain performant ML models. Learn how researchers at @MSFTresearch & @MIT found adversarially robust ML models can improve transfer learning on downstream computer vision tasks: https://t.co/3DM4ixpy2h
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Adversarial robustness as a prior for better transfer learning

Adversarial robustness as a prior for better transfer learning

With little training data or compute, transfer learning is a simple way to obtain performant machine learning models. Learn how researchers at Microsoft research and MIT found adversarially ...

On Aug 10, 2020
@peteskomoroch shared
RT @danny_lange: We are expanding and we are looking for a manager for @unity3d's ML-Agents team. This team is an applied research team whose framework has become one of the most popular machine learning frameworks today. This is a very unique opportunity! Apply here: https://t.co/wIs4pmA8kE. #ML https://t.co/4yEnrG8nFv
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Senior Manager, Machine Learning (ML-Agents) AI@Unity

Senior Manager, Machine Learning (ML-Agents) AI@Unity

We are looking for an exceptional engineering manager to join Unity’s ML-Agents team within AI@Unity.

On Aug 12, 2020
@stanfordnlp shared
RT @MarietjeSchaake: I started Tech Policy Watch with the help of my research assistants and staff. Feel free to sign up ↘️ https://t.co/LqOBi43PfN https://t.co/NIVZ3YRrvV
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TECH POLICY WATCH

TECH POLICY WATCH

(CSET) The European Union is entering "a new phase" of legislation when it comes to tech companies, according to Commissioner Margrethe Vestager. (Bipartisan Policy Center) The …

On Aug 12, 2020
@pabbeel shared
RT @algo_class: Some truly excellent news --- long live the Simons Institute! It has added a totally new dimension to life as a theoretical computer scientist. https://t.co/JPYjX0TmUp
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