Cards Against Humanity Writers Are Battling An AI to Keep Their Jobs, and You Can Watch
The creators of Cards Against Humanity are back for their annual Black Friday stunt, and this one is delightfully dystopian. The human writers on the CAH team face off against an artificial intelligence to see who can create the most popular new pack of cards, based on how many people pay for more $5 packs.
(The Verge) / (Cards Against Humanity)
An Entire Thanksgiving Dinner from AI-Generated Recipes
A game review YouTuber named David King has used a modern neural network, Talk to Transformer, to generate an entire Thanksgiving dinner, including green bean casserole, mashed potatoes and gravy, stuffed turkey, pumpkin pie — and eat them so you don’t have to!
(Watch the video)
Go Master Lee Sedol Quits, Unable to Win Against AI Go players
South Korean Go master Lee Sedol retired from professional Go competition last week after gaining worldwide fame in 2016 as the only human to defeat the artificial intelligence (AI) Go player AlphaGo. He said his retirement was primarily motivated by the invincibility of AI Go programs.
Single Headed Attention RNN: Stop Thinking With Your Head
The researcher opts for the lazy path of old and proven techniques with a fancy crypto1 inspired acronym: the Single Headed Attention RNN (SHA-RNN). The author’s lone goal is to show that the entire field might have evolved a different direction if we had instead been obsessed with a slightly different acronym and slightly different result.
Causality for Machine Learning
Graphical causal inference as pioneered by Judea Pearl arose from research on artificial intelligence (AI), and for a long time had little connection to the field of machine learning. This article discusses where links have been and should be established, introducing key concepts along the way. It argues that the hard open problems of machine learning and AI are intrinsically related to causality, and explains how the field is beginning to understand them.
Behavior Regularized Offline Reinforcement Learning
In this work, researchers introduce a general framework, behavior regularized actor critic (BRAC), to empirically evaluate recently proposed methods as well as a number of simple baselines across a variety of offline continuous control tasks. Surprisingly, the research team finds that many of the technical complexities introduced in recent methods are unnecessary to achieve strong performance.
(Carnegie Mellon University & Google Research)
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AI Helps Quantum Chemists Determine Molecular Wave Functions
An interdisciplinary team of chemists, physicists, and computer scientists from the University of Warwick, the Technical University of Berlin, and the University of Luxembourg have developed a deep learning algorithm that leverages fundamental quantum mechanics equations to accurately predict the quantum mechanical wave functions of molecules.
MarioNETte: Few-Shot Identity Preservation in Facial Reenactment
Researchers from the South Korea-based tech company Hyperconnect recently proposed a new framework, MarioNETte, which aims to reenact target faces in a few-shot manner (from even a single image) while preserving identity without any fine-tuning.
Global AI Events
December 2–6: AWS re:Invent 2019 in Las Vegas, United States
December 8–14: 2019 Conference on Neural Information Processing Systems (NeurIPS 2019) in Vancouver, Canada
January 7–10: CES 2020 in Las Vegas, United States
February 7–12: AAAI 2020 in New York, United States