Microsoft's Phi-4-reasoning-vision-15B uses careful data curation and selective reasoning to compete with models trained on ...

Polymers are fundamental to our daily lives, serving as the core components for a wide array of goods, including clothing, packaging, transportation infrastructure, construction materials, and ...

A research team has developed a versatile machine learning model that could one day greatly expand what medical scans can tell us about disease. Scientists used their tool, named Merlin, to assess 3D ...

Gemini 3.1 Flash Lite prioritizes speed over advanced reasoning; it is Google’s third model launch in three weeks, for ...

A new computational method allows modern atomic models to learn from experimental thermodynamic data, according to a ...

Open source and specialized AI models compared to flagship AI's; Kimi 2.5 supports bilingual private work, while Sonar focuses on citations.

Microsoft researchers have developed On-Policy Context Distillation (OPCD), a training method that permanently embeds ...

Panelists repeatedly highlighted that AI compute scaling is dramatically outpacing traditional Moore’s Law transistor ...

This month Anthropic and OpenAI each disclosed evidence that leading Chinese AI labs have illicitly used American models to ...

The Department for Work and Pensions (DWP) has published a “data strategy” document that sets out what it believes it will take to become an organisation transformed by data usage by 2030. This ...

Abstract: The widespread adoption of laser powder bed fusion (LPBF) additive manufacturing is hampered by process unreliability problems. Modeling the melt pool behavior in LPBF is crucial to develop ...

Electrochemical impedance spectroscopy (EIS) provides valuable insights into the physical processes within batteries – but how can these measurements directly inform physics-based models? In this ...