In machine learning, privacy risks often emerge from inference-based attacks. Model inversion techniques can reconstruct sensitive training data from model outputs. Membership inference attacks allow ...

Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...

In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...

Enterprise adoption of cognitive intelligence platforms has accelerated, yet executive confidence has not kept pace. Many deployments promise ...

The March 2026 issue of NEJM Catalyst Innovations in Care Delivery is a special theme issue on the hard work of implementing artificial intelligence in real-world ...

To prevent algorithmic bias, the authors call for multivariable modeling frameworks that jointly incorporate biological sex, genetic ancestry, and gender-related life-course exposures.

Meta patented AI that can mimic a user’s social activity after death; it can post, like, and comment, raising consent ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...