We know, even if you’re someone into AI video creation, it can be exhausting to keep up with all of the different models and ...

A better model would take these factors into account to offer a more realistic recommendation, perhaps by providing an option ...

A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.

Breakthrough AI foundation model called BrainIAC is able to predict brain age, dementia, time-to-stroke, and brain cancer ...

Deep neural networks (DNNs) have become a cornerstone of modern AI technology, driving a thriving field of research in image-related tasks. These systems have found applications in medical diagnosis, ...

Overview: AI now supports doctors across diagnosis, triage, and operations in hospitals and clinics.From cancer screening to ...

Current AI models are unlikely to be able to make novel scientific breakthroughs, Thomas Wolf, co-founder of Hugging Face said. One major issue with models now is that they often agree with the person ...

A relatively simple experiment involving asking a generative AI to compare two objects of very different sizes allows us to ...

The conversational prowess of AI chatbots like ChatGPT, Gemini, and Claude appears to stem from sophisticated algorithms alone, but this apparent autonomy masks a critical dependency: after these AI ...

Scraping the open web for AI training data can have its drawbacks. On Thursday, researchers from Anthropic, the UK AI Security Institute, and the Alan Turing Institute released a preprint research ...

There’s a new essay out from one half of the Amodei duo that created Anthropic, a firm often billed as a kinder, gentler AI ...

Medical artificial intelligence is a hugely appealing concept. In theory, models can analyze vast amounts of information, recognize subtle patterns in data, and are never too tired or busy to provide ...