Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper appearing in Patterns. Though large language models ...

Mira Murati's Thinking Machines Lab has signed a multi-billion-dollar deal with Google Cloud for AI infrastructure powered by ...

Abstract: In recent years, geospatial artificial intelligence (GeoAI) has gained traction in the most relevant research works and industrial applications, while also becoming involved in various ...

Simulating how atoms and molecules move over time is a central challenge in computational chemistry and materials science.

Slobodan Manic says AI is no longer waiting for us to come to it. It's coming to us. And websites are nowhere near ready.

Abstract: This study presents a comprehensive survey on Quantum Machine Learning (QML) along with its current status, challenges, and perspectives. QML combines quantum computing and machine learning ...

Tech firms aim to trigger a robot revolution with video of humans doing housework. Gig workers are paid up to $25 an hour to ...

The report reveals that the UK technology labour market entered 2026 with mixed signals. While economic pressures and hiring caution remain, demand for specialised talent, particularly in artificial ...

New AI agent and machine learning capabilities transform large volumes of execution data to improve fleet performance ...

Modern ERP platforms are becoming smarter, more adaptive, and far more predictive, unlocking capabilities that were nearly impossible just a few years ago. For organizations looking to stay ...

Just when engineers thought they had mastered tuning parameters and torque curves, along comes AI-driven motion systems to rewrite the rules. Intelligent design tools and adaptive control algorithms ...