While artificial intelligence is advancing at a rapid rate, the learning resources for artificial intelligence are also increasing at an equally rapid.

A growing body of research is challenging the central sales pitch of generative AI: that it saves workers time. Multiple studies published in recent months find that AI tools often create new ...

Semantic Scholar and Research Rabbit differ in discovery approach; one centers on figures and references, the other maps ...

Background Behaviours across a 24-hour day, including physical activity, sedentary time and sleep, are disrupted following cancer and contribute to cancer-related outcomes. This study describes the ...

Claude says this new code review tool is modelled on the one it runs internally at Anthropic. It argues that code reviews are a bottleneck for engineers. The review won't approve any pull requests by ...

A newly released open-source software project is drawing global attention for demonstrating how ordinary WiFi signals can be ...

The specific focus of this PhD research project is on integration of non-terrestrial networks (NTN) (aka satellite communication networks) with terrestrial networks (TN) (5G/6G mobile networks). Fully ...

Yale researchers have developed a machine learning model, called Immunostruct, that can help scientists create more personalized vaccines, including vaccines for cancer. They described the tool in ...

10 The George Institute for Global Health, School of Public Health, Imperial College London, London, UK Background Cardiovascular risk is underassessed in women. Many women undergo screening ...

A new machine learning tool has identified more than 250,000 cancer research papers that may have been produced by so-called "paper mills." Developed by QUT researcher Professor Adrian Barnett, from ...

The convergence of machine learning (ML) and applied neuroscience continues to accelerate, driven by the synergistic demands of intelligent systems and deepening insights into the human nervous system ...