Jun 19, 2019

Last Friday, I attended the International Conference on Machine Learning. I spoke at the AI and Climate Change workshop on projects we’re doing to model methane emissions and on wind turbines. John Platt gave an overview of climate issues.

Tech giants have slowed down their hiring for pure AI research. But don’t let that cool your ambitions. A journalist spoke with six industry insiders about hiring trends. His sources said their companies no longer are building huge research teams. Instead, they’re staffing up AI engineering.

Images produced by generative adversarial networks can be nearly indistinguishable from the real thing. If a picture is worth a thousand words, a GAN-made 3D representation could be worth a million.

Neuroscientists developed a system that, they say, can detect subtle signs of psychosis in conversational speech.

Typical deep reinforcement learning requires millions of training iterations as the network stumbles around in search of the right solution. New research suggests that AI can learn faster by considering its mistakes.

U.S. representatives mulled over legal precedents for — and impediments to — regulating the realistic computer-generated videos known as deepfakes.

Drone maker DJI released a toy robot tank that shoots splattering pellets, skitters on omnidirectional wheels, and learns to navigate the playroom battlefield.