Munich 1991: The Roots of the Current AI Boom
The foundations of today's AI boom, including the first Transformer variant, unsupervised pre-training, neural network distillation, and deep residual learning, were all published in 1991 by Jürgen Sc…
The foundations of today's AI boom, including the first Transformer variant, unsupervised pre-training, neural network distillation, and deep residual learning, were all published in 1991 by Jürgen Sc…
PALO ALTO, Calif. — Startup Ricursive, founded by the former leads of Google's AlphaChip project, announced plans to develop an end-to-end AI model for chip design, aiming to transform the industry by…
Ideogram 4, a 9.3-billion-parameter text-to-image model from a team of former Google Brain researchers, topped the open-weight leaderboard for design quality, winning nearly half of blind typography t…
A developer detailed the architecture of agentic AI systems, building on the 2022 ReAct paper from Google Brain that enabled language models to reason, act, and revise their thinking in a loop. The po…
Chinese AI labs have progressed from early BERT-era models to trillion-parameter systems like Wu Dao 2.0 (1.75T parameters) and cost-efficient architectures such as DeepSeek V3 (trained for $5.6M), ac…
Nicholas Carlini announced he is leaving Google DeepMind after seven years to join Anthropic for one year, citing disagreements with DeepMind leadership over its support for high-impact security and p…