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

In the domain of metamaterials, the push toward automated design has been accelerated by advances in generative machine learning. The advent of deep ...

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

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 ...

This release updates the release that posted earlier on 1/27/26 to clarify the SOURCE of the release. SAN RAMON, CA / ACCESS ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

Overview: Emerging technologies in 2026 are pushing the boundaries of what’s possible across industries, from healthcare to ...

Introduction The logistics landscape has shifted dramatically in recent years. What was once the exclusive domain of ...

A signal-processing–based framework converts DNA sequences into numerical signals to identify protein-coding regions. By integrating spectral ...

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