Self-organizing maps, and the machine learning protocol involved in creating them, have been in use since the 1980s, Lawrence ...

Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...

Detectives often find important clues by digging through rubbish. That approach paid off tremendously for systems biologist ...

Even networks long considered "untrainable" can learn effectively with a bit of a helping hand. Researchers at MIT's Computer ...

AI startups are seeing record valuations, but many are building on a foundation of cheap, free-to-download Chinese AI models.

The applied mathematician and Ramsey Theory Group founder launches a mission to reshape how organizations understand and trust AI.

This manuscript makes a valuable contribution to understanding learning in multidimensional environments with spurious associations, which is critical for understanding learning in the real world. The ...

The project will build upon CSIRO’s expertise in the field of QML to develop new and innovative QML models. QML has the potential to offer enhanced reliability, training speed-up and unique feature ...

Princeton researchers found that the brain excels at learning because it reuses modular “cognitive blocks” across many tasks.

Machine learning is increasingly recognized as a pivotal tool in the evolution of cardiovascular medicine, promising to ...

Biological neural networks are immensely complex systems underlying all aspects of cognition and behavior. Despite significant advances in neuroscience, a ...

Speaking multiple languages could slow down brain ageing and help to prevent cognitive decline, a study of more than 80,000 people has found. The work, published in Nature Aging on 10 November, ...