Topics

Oxford researchers solved Predictive Coding’s speed crisis with clever memory-based initialization, making biologically inspired networks up to 5x faster and finally competitive with backpropagation.

The Anthropic order shows how quickly any system built on a US LLM can be switched off, without notice.

Researchers used artificial intelligence to reconstruct more than 166,000 neurons and 125 million connections, opening a new way to study sex differences and behavior.

AI finally gets personal. P-AffMem learns your unique emotional expressions, combining general knowledge with adaptive individual memory for truly understanding how you feel.

Stanford’s new GNN-powered method cracks the NP-hard subgraph matching problem, enabling fast motif discovery in massive graphs from biology to social networks.

Agents spent eleven days turning a famous 1990s argument into Lean code so a machine could check every step from the basic rules of mathematics.

Self-learning AI is revolutionizing technology by teaching itself through trial, error, and data — evolving faster than humans can program, unlocking unprecedented innovation.

An AI tool rebuilds a published study from its text, figures and data so the resulting agent can explain the work, reuse its methods and compare notes with other papers.

As AI powers the Fourth Industrial Revolution, it’s reshaping business, jobs, and society. Discover the opportunities, divides, and ethical challenges defining our future.

Move beyond chatbots. Cognitive architectures are transforming language models into true agents—equipped with memory, reasoning, and goal-driven action to shape the real world.