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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 ...
WIRED spoke with Boris Cherny, head of Claude Code, about how the viral coding tool is changing the way Anthropic works.
From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...
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 ...
Vention says that more than 25,000 of its robots are deployed in over 4,000 facilities worldwide. According to BetaKit, the ...
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 ...
A Providence rooming house that was built in 1913 and turned into housing for young adults transitioning out of foster care ...
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.
SHENZHEN, GUANGDONG, CHINA, January 16, 2026 /EINPresswire.com/ -- As global manufacturing embraces Industry 4.0, the ...
AI-generated code can introduce subtle security flaws when teams over-trust automated output. Intruder shows how an AI-written honeypot introduced hidden vulnerabilities that were exploited in attacks ...
Microsoft released new open‑source quantum development tools that deepen VS Code and Copilot integration while targeting real ...
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