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

Abhijeet Sudhakar develops efficient Mamba model training for machine learning, improving sequence modelling and ...

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

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

Keysight Technologies, Inc. (NYSE: KEYS), today announced the release of the new Machine Learning Toolkit in the latest Keysight Device Modeling Software Suite. This new solution reduces model ...

Recentive Analytics, Inc. v. Fox Corp., No. 23-2437 (Fed. Cir. 2025) – On April 18, 2025, the Federal Circuit upheld the district court’s dismissal of the case on the ground that the patents were ...

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 ...

Achieving precise and predictable motion remains a persistent challenge for microelectromechanical systems (MEMS), where many actuators respond ...

How hands-on coursework, industry experience, and community prepared APAN graduates to lead in data-driven roles.

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

When it comes to powering aircraft, jet engines need dense, energy-packed fuels. Right now, nearly all of that fuel comes ...

PACSystems IPC 6010, IPC 7010 and IPC 8010 industrial computing platforms expand Emerson’s family industrial personal computer (IPC) models applications, including artificial intelligence (AI), ...