Mohapatra’s goal is to design robust deep learning frameworks capable of adapting to practical sensing scenarios in healthcare, continuous sensing, and audio domains.

A breakthrough in neuromorphic computing could lower the energy consumption of chips and accelerate progress toward artificial general intelligence (AGI). Researchers from the USC Viterbi School of En ...

Get your display working again. This guide shows you how to fix the 5 most common HDMI input problems, from simple resets to ...

COMs eliminate the need for complete embedded system redesigns by making them easier to upgrade, delivering sustainability ...

While enterprises continue to respond to the end of life of Windows 10 and the wide scale adoption of Windows 11, there are ...

By borrowing ideas from the brain, UT Dallas researchers have created hardware that learns on its own with minimal energy use ...

The University of Washington’s Allen School is tackling six “grand challenges” in computer science — from AI and education to ...

Together with Arm, Alif demonstrated at the PyTorch Conference generative AI models compiled with the ExecuTorch Runtime ...

Researchers at the USC Viterbi School of Engineering and School of Advanced Computing have developed artificial neurons that ...

When Tania Roy began her Thomas Langford Lecture on October 22, speaking to faculty from across Duke’s campus, she shared ...

The ASUS ROG Xbox Ally X and Lenovo Legion Go 2 are two great handhelds, but which one should you buy? Let's dive in.

Tech industry veteran brings extensive global leadership experience to accelerate commercial growthSingapore, Singapore, ...