Jun 26, 2019

AI is still compute-hungry. With supervised learning algorithms and emerging approaches to self-supervised and unsupervised learning, we are nowhere near satisfying this hunger.

Teaching a neural network to drive requires immense quantities of real-world sensor data. Now developers have a mother lode to mine.

Electrons are notoriously fickle things, orbiting one proton, then another, their paths described in terms of probability. Scientists can observe their travel indirectly using scanning tunneling microscopes, but...

Language models lately have become so good at generating coherent text that some researchers hesitate to release them for fear they'll be misused to auto-generate disinformation.

Experts in animal cognition may be the AI industry’s secret weapon. Tech giants like Apple and Google have added neuroscientists studying rodents, birds, and fish to teams working on voice processing, sound recognition, and navigation.

Jibo made the cutest household robots on Earth, jointed desk-lamp affairs that wriggle as they chat and play music. In March — a mere 18 months after coming to life — they said goodbye to their owners en masse.

Robots rely on GPS and prior knowledge of the world to move around without bumping into things. Humans don’t communicate with positioning satellites, yet they’ve wandered confidently, if obliviously, for millennia. A new navigation technology mimics that ability.