Living human neurons were trained to play Doom, extending the long-running engineering benchmark into biological computing.

Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.

A cluster of lab-grown human brain cells has apparently made the leap to successfully playing a very rudimentary video game without the benefit of eyes, ears, or any kind of sensory input. It's a far ...

Overview:Programming languages with simple syntax allow faster learning and practical application for beginnersLow-level ...

The term “vibe coding,” coined by Andrej Karpathy in 2025, sent the tech world into a frenzy. The idea was simple but ...

Learn how to detect anomalous context injections in MCP deployments using post-quantum cryptography and ai-driven behavioral analysis to prevent puppet attacks.

Researchers at Australian start-up Cortical Labs have taught human neurons grown on a chip to play the classic Doom game. In 2021, they had already used 800,000 neurons to play Pong. Now, with four ...

Ring Team Announces Significant New Contributions by Developer Youssef Saeed Youssef’s contributions, creativity, and ...

Agentic AI is already woven into the product roadmaps of nearly every major tech platform. It’s the layer many apps now use to get things done without constant human steering, a ...

Surgent Studios' third game feels like the studio's first miss, but I'm sure it will impress younger audiences.

Cove Street Capital analyzes the AI market mania and shifting software valuations. Read the full analysis for more details.

AT&T's chief data officer shares how rearchitecting around small language models and multi-agent stacks cut AI costs by 90% at 8 billion tokens a day.