Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.

In 2026, here's what you can expect from the AI industry: new architectures, smaller models, world models, reliable agents, ...

Until now, AI services based on large language models (LLMs) have mostly relied on expensive data center GPUs. This has ...

Generative Golden Reference Hardware Fuzzing” was published by researchers at TU Darmstadt. Abstract “Modern hardware systems ...