AI agents are convenient, aren't they? But have you ever felt uneasy, wondering if they are actually working correctly, or ...

I am working on a project to turn a six-legged robot (Freenove Big Hexapod) into a Tachikoma.This time, it's the exterior ...

Mistral AI opened its Responses API in public preview on October 28, giving developers building OpenAI-format agent pipelines a path to European-hosted infrastructure by changing a base URL and API ...

The Kenyan SME ERP SokoFlow added structured failure handling, a Redis-based daily cap, and an interaction logger to its ...

Cowork, a small 4B vision-language model that switches between GUI actions and shell code execution within a single policy, ...

GPT-6 COBOL migration hits 97.9% behavioral fidelity in OpenAI's latest benchmark, a 16-fold improvement over prior models, but enterprise IT teams should understand the gap between benchmark accuracy ...

Nvidia’s Vera processor leads several Python tests against Intel and AMD server chips, giving its AI infrastructure pitch a ...

UCSB and Microsoft's ScholarEvolve generates code from academic papers to improve an agent's harness without retraining model ...

Vision–language models read region names from multiple sequence alignment images accurately but fail badly at defining ...

Bloomberg's BQuant Assistant writes Python and BQL across 22,000+ data fields and needs user approval before touching ...

ScholarEvolve uses published research to improve AI agents, raising Qwen's AppWorld task completion from 69% to 81.4% without retraining the model.

When Miriam Friedel started working at Capital One in 2020, generative AI was still largely a research curiosity. By the time ...