The project is described by its creators as a universal swarm-intelligence engine designed to run large-scale simulations in order to explore possible future scenarios. Instead of relying on a single ...

FriendliAI — founded by the researcher behind continuous batching, the technique at the core of vLLM — is launching InferenceSense, a platform that fills idle neocloud GPU capacity with paid AI ...

Testing is where Thailand's AI adoption often pays off quickly, because it reduces waiting. AI can draft unit tests from code, suggest regression ...

Unlike traditional predictive models, MiroFish creates a simulated digital space filled with thousands of independent AI agents. These agents interact with one another in parallel, creating a complex ...

The FlySilicon Valley startup Eon Systems claims to have successfully uploaded the mind of a fly and placed it inside a simulated environment. The uploaded mind can control a digital body and respond ...

Qwen3.5-9B has been making waves in the AI enthusiast community, especially given that Alibaba's compact reasoning model outscored OpenAI's gpt-oss-120b on GPQA Diamond, MMLU-Pro, and MMMLU, all while ...

With zero coding skills, I was able to quickly assemble camera feeds from around the world into a single view. Here's how I did it, and why it's both promising and terrifying for all of us.

The Azure Kubernetes Service (AKS) team at Microsoft has shared guidance for running Anyscale's managed Ray service at scale. They focus on three key issues: GPU capacity limits, scattered ML storage, ...