Bridging the technical divide in biological engineering Co-founders Tristan Bepler and Tim Lu developed the platform to ...

I interviewed Aston Martin F1’s technology chiefs Fabrizio Pilotti and Eric Ernst. They reveal why Lewis Hamilton's Barcelona ...

A new study reveals that dual-atom catalysts behave in a fundamentally different way than scientists previously thought, challenging a long-standing model used to predict catalytic performance.

Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...

In this interview, AZoLife Sciences speaks with Boyd Butler, a microscopy and high-content screening expert at Molecular ...

Medicine is rapidly evolving from statistical, evidence-based approaches to predictive, genotype-directed care, driven by ...

University of Pittsburgh postdoctoral researcher Mary Cundiff uses machine learning and single-cell genomics to study ...

France’s Safran.AI and Hemeria signed an MOU at Eurosatory 2026 to embed onboard machine learning in stratospheric balloons ...

QHR is opening a wider release of its Headset and Headset Pro and outlining a product roadmap that runs machine learning ...

Machine learning models narrow down solutions in synthesis, compounding, product design, and more.

AI does not impartially observe reality—it mirrors human stereotypes. Operating at scale, it reinforces inequalities.

Parsons provides full-spectrum cyber and electromagnetic solutions that enhance spectrum superiority, cyber resilience, and multi-domain operations. Artificial intelligence and machine learning are ...