A new technique from Stanford, Nvidia, and Together AI lets models learn during inference rather than relying on static ...

Database optimization has long relied on traditional methods that struggle with the complexities of modern data environments. These methods often fail to efficiently handle large-scale data, complex ...

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

Distributed Integrated Energy Microgrid, as a key infrastructure for the low-carbon transition of regional energy systems, faces critical challenges in achieving optimal operation—primarily due to ...

A new peer-reviewed study published in the journal Algorithms signals a major shift in how humanitarian logistics can be ...

Measuring conditions in volatile clouds of superheated gases known as plasmas is central to pursuing greater scientific ...

As ad platforms turn into black boxes, signal optimization offers a way to predict downstream value early and improve CAC and ROAS.

For years, the AI community has worked to make systems not just more capable, but more aligned with human values. Researchers have developed training methods to ensure models follow instructions, ...

Quantum computing technology is complex, getting off the ground and maturing. There is promise of things to come. potentially changing the computing paradigm.

Quantum computers may become a security threat as early as next year, and that threat will continue to grow over the next several years.