Yoshua Bengio talks about his efforts to identify — and address — the risks posed by AI.

Researchers successfully developed a machine learning-based method for predicting symptom deterioration in patients with cancer.

The kidney is one of the body's most vital organs, responsible for filtering waste, balancing electrolytes and maintaining overall health. Any impairment to its function can lead to serious and often ...

Discover how St. Jude scientists created AlphaSync, a database that keeps protein predictions up to date to push science ...

With the rapid advancements in computer technology and bioinformatics, the prediction of protein-ligand binding sites has ...

In the lingo of the field, dopamine-producing cells are measuring a reward prediction error — the difference between the ...

Abstract: This research focuses on Healthcare and Artificial Intelligence, more especially Medical Data Analysis and Predictive Analytics. It analyses patient data for early disease diagnosis and ...

Abstract: The involvement of the Internet of Things (IoT)in the agricultural field has introduced the new chances of involving the innovative adoption of the old farming strategies replacing them with ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...

Australian Institute for Machine Learning (AIML), School of Computer and Mathematical Sciences, University of Adelaide, Adelaide, South Australia 5005, Australia Institute for Photonics and Advanced ...