Last week, Anthropic announced Project Glasswing, an AI model so effective at discovering software vulnerabilities that they ...

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

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 ...

Some UA computer science and computer engineering students have expressed concerns about job prospects in a growing AI market ...

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 ...

Abstract: Application of machine learning (ML) approaches has recently expanded within a wide range of domains, including semiconductor devices. Their strong potential resulted in increasing number of ...

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 problems arriving in the room are pressing and practical. A small business owner trying to stitch together three systems ...

Scripting languages like Python and JavaScript quickly gained popularity and pushed further toward human readability. They ...

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 ...

Financial institutions are no longer just managing risk and capital: They are building algorithms, deploying machine learning ...