Data science is a popular and lucrative profession, and despite pandemic-era slowdowns, it’s still one of the sexiest jobs around. As businesses seek to employ the power of...
By Chris Nicholson
Deep reinforcement learning—where machines learn by testing the consequences of their actions—is one of the most promising and impactful areas of artificial...
Self-driving car startup Aurora will go public in a reverse merger with Reinvent Technology Partners Y, a SPAC, with a risky promise to deliver self-driving trucks.
A new paper on OpenAI's Codex model sheds much-needed light on how far you can trust deep learning in programming.
Scientist and author Herbert Roitblat provides an alternate view on DeepMind's "Reward is enough" paper.
Copilot, a source code generator developed by GitHub and OpenAI, provides interesting hints about the future directions of the software industry and the business of large language models.
Deep learning pioneers Yoshua Bengio, Geoffrey Hinton, and Yann LeCun discuss current limits of deep learning and future directions of research.
At CVPR 2021, Tesla AI chief Andrej Karpathy explained why computer vision alone is enough for full self-driving, and why Tesla is in a unique position to make it happen.
Intelligence is not the result of gradual evolutionary changes, but an additional functional system that appeared suddenly and did not go through the standard process of evolutionary consolidation.
A paper by DeepMind scientist triggered much debate about the path to artificial intelligence. Here, we'll try to draw the line between theory and practice.