For R&D leaders evaluating AI investments, I’d offer one piece of advice: Before spending more on models, look hard at your ...

Discovering and characterizing new materials is important for unlocking advances in fields like clean energy, advanced ...

A former Snowflake data scientist who refined multi-billion-dollar forecasts is now building AI models that outperform Claude ...

The study, titled “Teach AI What It Doesn’t Know,” published in AI Magazine, presents a detailed research agenda by Sean Du of Nanyang Technological University, focused on building reliable machine ...

New integrations between Python and MATLAB’s Simulink platform are enabling engineers to coexecute Python models, automate VLSI workflows, and bridge AI-driven design with traditional simulation.

Engineers develop a system that captures all the elements of trial and error in material design, enabling reliable ...

Nomagic, a leading robotics company applying advanced Physical AI to warehouse automation, has appointed Markus Wulfmeier, formerly of Google DeepMind, as Chief Scientist. In this newly created role, ...

Today, JuliaHub announces the launch of Dyad 3.0 and a $65M series B funding round led by Dorilton Capital, with ...

The Catalyst Accelerator concluded its Artificial Intelligence/Machine Learning Orchestrator (CAAMO) cohort with a Demo Day ...

Flexible, power-efficient AI acceleration enables enterprises to deploy advanced workloads without disrupting existing data ...

Dr Sam Cooper on how the next generation of materials and medicine will be shaped by our understanding of microstructure ...