Agent observability, aka AgentOps, has emerged as a vital ecosystem of tools for keeping an eye on what AI agents and LLMs ...

GPT-5.6 Sol Pro disproved a 20-year-old statistics conjecture in 90 minutes that GPT-5.5 couldn't crack in over 20 hours — a ...

Press’ post set off a firestorm of controversy within the Haskell community, which is small but vocal, and likely felt the ...

Key Takeaways -   To understand data science, one needs a lot of technical expertise along with business understanding. Generative AI, MLOps, and clou ...

By some benchmarks, Julia code can run 10X to 1,000X faster than Python—but there’s a reason it’s not a very popular ...

AI coding agents ported Fields Medalist Terence Tao’s Java 1.0 math visualizations to JavaScript in hours, identified two ...

AI agent dispute resolution reached a milestone July 10 when GenLayer Foundation led 27 firms in launching Internet Court, a ...

The AI-assisted editor now works alongside the platform's MCP server and interactive documentation, giving developers plain-language code generation, debugging, and reference lookup across a single ...

Large language models face a fundamental computational limit that causes undetected errors in complex tasks. Hybrid AI systems combining models with verification tools offer a practical solution.

Data scientists play a crucial role in helping people and organizations use data to make more informed decisions. Since they ...

"Own or rent" has become the pivotal AI question for every CIO. In the rush of the last two years, the default was to rent—plug a frontier LLM into every workflow. It felt sensible. When a new ...

B, a 3-billion-parameter AI model, is challenging OpenAI, Google and DeepSeek on math and coding benchmarks while reigniting the debate over AI scaling, benchmark gaming and small-model reasoning.