What to Expect at NeurIPS 2019
How Google’s Founders Slowly Stepped Away From Their Company
On Tuesday, Mr. Page and Sergey Brin, his Google co-founder, said they were stepping down from day-to-day executive roles at Alphabet, Google’s parent company. The founders named Mr. Pichai as the chief of both Google and Alphabet, while they will remain on Alphabet’s board of directors.
(The New York Times)
DeepMind Co-Founder Moves to Google as The AI Lab Positions Itself for The Future
Suleyman announced the news on Twitter, saying that after a “wonderful decade” at DeepMind, he would be joining Google to work with the company’s head of AI Jeff Dean and its chief legal officer Kent Walker. The exact details of Suleyman’s new role are unclear but a representative for the company told The Verge it would involve work on AI policy.
Michael Jordan Wins 2020 IEEE John von Neumann Medal
UC Berkeley CS Prof. Michael I. Jordan has won the prestigious John von Neumann Medal from the Institute of Electrical and Electronics Engineers (IEEE). The award was established in 1990 to acknowledge “outstanding achievements in computer-related science and technology.” Jordan, who was ranked as the world’s most influential computer scientist in 2016 by Science magazine, was cited for “For contributions to machine learning and data science.”
(UC Berkeley EECS News)
Leveraging Procedural Generation to Benchmark Reinforcement Learning
In this report, OpenAI researchers introduce Procgen Benchmark, a suite of 16 procedurally generated game-like environments designed to benchmark both sample efficiency and generalization in reinforcement learning.
(OpenAI Paper) / (OpenAI Blog)
LOGAN: Latent Optimisation for Generative Adversarial Networks
Researchers develop supporting theoretical analysis from the perspectives of differentiable games and stochastic approximation. The experiments demonstrate that latent optimisation can significantly improve GAN training, obtaining state-of-the-art performance for the ImageNet (128 x 128) dataset.
Troubling Trends in Machine Learning Scholarship
Recent progress in machine learning comes despite frequent departures from ideals. In this paper, researchers from Carnegie Mellon University and Stanford University focus on four patterns that appear to us to be trending in ML scholarship.
(Carnegie Mellon University & Stanford University)
You May Also Like
Personal Invisibility Cloak Stymies People Detectors
Researchers from Facebook AI and the University of Maryland have introduced sweatshirts printed with adversarial examples that make the wearer undetectable to the AI-powered object detectors in today’s public surveillance systems.
Deep Learning Model Morphs VTube Talking Heads With a Few Mouse Clicks
Every day is Halloween for Virtual YouTubers or “VTubers” — the new generation of wildly popular online entertainers whose voices and actions are represented in real time by colourful and expressive anime characters. Now, a Google researcher has released a deep neural network model that makes animating a VTube persona a little easier.
Global AI Events
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
February 24–27: Mobile World Congress in Barcelona, Spain