From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...
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Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...
Microsoft released new open‑source quantum development tools that deepen VS Code and Copilot integration while targeting real ...
WIRED spoke with Boris Cherny, head of Claude Code, about how the viral coding tool is changing the way Anthropic works.
To fully harness AI’s potential, KRA should pair its internal modernisation efforts with selective adoption of proven ...
The “one big breakthrough” pattern suggests that total citation counts can mislead. A researcher with one highly-cited paper ...
According to the Allen Institute for AI, coding agents suffer from a fundamental problem: Most are closed, expensive to train ...
Field notes from our human-AI collaboration summit: the 70/30 problem, why agents don't push back, and AI's role as catalyst ...
Scientists at the German Cancer Research Center (DKFZ), Heidelberg University Hospital (UKHD), and Mannheim University ...
“We’re on the cusp of a completely new way of shopping,” Gates told TechCrunch.
Today, let's take a closer look at incident response playbooks: how to build one, tailor it for secret leaks, take actions, ...
One hacked AI agent took down 50 others, proving that agentic AI needs a “DNS for trust” before autonomy turns into chaos.
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