There are more candidates on the waitlist for a liver transplant than there are available organs, yet about half the time a ...

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...

Driven by rising cyber threats, expanding data volumes, and rapid adoption of AI-powered real-time monitoring, the Anomaly Detection Market is witnessing strong growth, with cloud-based solutions ...

In many modern sciences, data often exist on curved geometric spaces rather than flat planes, posing challenges for traditional statistical tools. These curved spaces are called Riemannian manifolds.

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

Prevailing AI architectures are not moving the needle. We need new ideas. Google Research proposes NL (nested learning). Here ...