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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 ...
From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...
WIRED spoke with Boris Cherny, head of Claude Code, about how the viral coding tool is changing the way Anthropic works.
Microsoft released new open‑source quantum development tools that deepen VS Code and Copilot integration while targeting real ...
Explore how electric vehicles (EVs) and software-defined vehicles (SDVs) are transforming the landscape of automotive engineering, with insights from Nexteer Automotive's Umesh Sambhari.
If AI writes code like a teenager, then testers need to be the adults in the room. That doesn’t mean standing at the end of ...
According to the Allen Institute for AI, coding agents suffer from a fundamental problem: Most are closed, expensive to train ...
TR-49 is a puzzle game in which you use your deduction skills to save the world from a fascist government and learn all the ...
OSH Code 2020 explained for employers and HR teams. Learn applicability, single registration, common licence, inspections and ...
The “one big breakthrough” pattern suggests that total citation counts can mislead. A researcher with one highly-cited paper ...
SHENZHEN, GUANGDONG, CHINA, January 16, 2026 /EINPresswire.com/ -- As global manufacturing embraces Industry 4.0, the ...
A Providence rooming house that was built in 1913 and turned into housing for young adults transitioning out of foster care ...
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