Tom Fenton moves from local AI concepts to hands-on tools for matching LLMs to hardware, running local chatbots with Ollama and benchmarking AI performance.
The offices of Google are pictured in London on February 28, 2026. JUSTIN TALLIS/AFP via Getty Images Google released agents-cli on April 21, 2026, and it has shipped 13 updates in the 71 days since — ...
Sixtyfour CEO Saarth Shah explains how his company built AI research agents around rigorous evaluation systems rather than language model fluency, creating verification infrastructure that proves ...
Lowering computational costs in decentralized finance systems using AI-assisted contract development
Researchers have developed a benchmarking framework to assess whether artificial intelligence (AI) can generate decentralized ...
DSpark can make decoding faster, but acceptance quality still determines how much speed the system actually realizes.
AIPOCH, in collaboration with the Department of Pathology at Zhongshan Hospital, Fudan University, today unveiled ...
A new technical paper, Agentic Hardware Design as Repository-Level Code Evolution, was published by researchers at Nvidia ...
As a graduate student in chemistry, Omar M. Yaghi wondered why making molecules was limited to the traditional ‘shake and bake’ method — mix the ingredients, heat them, and let thermodynamics do the ...
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