Top news of the week: 03.12.2020.

Learning, Machine learning, Science, Artificial intelligence, Language model, Web 2.0

Research

On Dec 1, 2020
@drfeifei shared
RT @StanfordHAI: According to McKinsey, AI will create $13 trillion in economic value by 2030, but there is much untapped opportunity. @AndrewYNg, co-founder of @coursera and https://t.co/GZWDEgk82a, discusses challenges and solutions facing AI deployment in this seminar. https://t.co/NnTBVk580d https://t.co/TT1fALvKjU
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Break Into AI

Break Into AI

Whether you want to build algorithms or build a company, deeplearning.ai’s courses will teach you key concepts and applications of AI.

On Dec 2, 2020
@NandoDF shared
Drifting Efficiently Through the Stratosphere Using Deep Reinforcement Learning | Connecting the world https://t.co/p7HCMMvm4S
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Drifting Efficiently Through the Stratosphere Using Deep Reinforcement Learning

Drifting Efficiently Through the Stratosphere Using Deep Reinforcement Learning

How Loon and Google AI achieved the world’s first deployment of reinforcement learning in a production aerospace system

On Nov 30, 2020
@MSFTResearch shared
Microsoft researchers & collaborators at @UofT & @Cornell have created chess AI that better matches human play at various skill levels. Learn how Maia, a custom chess engine, predicts individual players’ moves with up to 75% accuracy when personalized: https://t.co/GoTdNKWAYl
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The human side of AI for chess

The human side of AI for chess

Researchers at Microsoft, University of Toronto, and Cornell University have created new chess AI that better matches human play at various skill levels. Learn how Maia, a custom chess ...

On Dec 3, 2020
@xamat shared
RT @ylecun: How industry is increasingly using PyTorch to deploy AI in production. With case studies at media, automotive, agriculture, and mining. And how open-source PyTorch code for ConvNets, R-CNN, & Detectron2 helped them solve computer vision problems https://t.co/OzQknwZ40K
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Why enterprises are turning from TensorFlow to PyTorch

Why enterprises are turning from TensorFlow to PyTorch

The deep learning framework PyTorch has infiltrated the enterprise thanks to its relative ease of use. Three companies tell us why they chose PyTorch over Google’s renowned TensorFlow ...

On Nov 29, 2020
@jeremyphoward shared
RT @Smerity: I've revamped State of the Smerity, where I'll begin publicly writing again. On tap: - Chasing a ball of linguistic yarn as it rolls around a thousand dimensional space - Of the Ancient Romans and public infrastructure - Imperfection and community creation https://t.co/EMyQQEusUI
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Welcome to State of the Smerity

Welcome to State of the Smerity

An increasingly public process journal of an independent AI researcher

On Dec 2, 2020
@AndrewYNg shared
I talk about some factors that influence AI startup success in today’s The Batch: https://t.co/pMkXVdB8kB
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feature mutes crinkling snack wrappers, clacking keyboards, and other distracting desktop din.

feature mutes crinkling snack wrappers, clacking keyboards, and other distracting desktop din.

The rise of AI creates opportunities for new startups that can move humanity forward. In the 1990s, the internet was embraced successfully

On Dec 2, 2020
@MSFTResearch shared
The Human-Computer Interaction Group at Microsoft is an interdisciplinary team of research scientists, engineers, and designers working to advance #HCI in a variety of research areas. Explore current projects, career opportunities, and downloads: https://t.co/Rw6GUOyPn0 https://t.co/IQlu9vPOps
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Human-Computer Interaction

Human-Computer Interaction

Home page of HCI research at Microsoft; information on MSR's HCI scientists, publications, videos, and more.

On Dec 1, 2020
@abursuc shared
An excellent brief explanation on the "protein folding problem" from @jasoncrawford to make sense of the importance of the recent performance of AlphaFold https://t.co/qiE4mBSduR
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What is “protein folding”? A brief explanation

What is “protein folding”? A brief explanation

AlphaFold from Google DeepMind is said to solve the “protein folding problem”. What is that, and why is it hard?