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

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

In the dynamic and often challenging landscape of early 2000s Venezuela, a pioneering spirit in the field of Computer ...

In the future, a new type of computer may be able to learn much like you do—by experience rather than endless repetition or ...

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

The CSE (Computer Science Engineering) and ECE (Electronics and Communication Engineering) are two popular engineering ...

The situation in the engineering faculty comes at a time when the higher education sector is increasingly under fire, with a ...

In an email statement to The Daily, Allen School Director and computer scientist Magdalena Bałazińska explained that the statement she helped author was prompted by questions from students, parents, ...

Memristors — short for “memory resistors” — are the brainlike workhorses of neuromorphic computing, capable of learning from previous electrical states. Traditional versions are made of silicon or ...

Computer screens over construction sites, that’s the clear choice of Maharashtra’s female engineering students this year.

Could computers ever learn more like humans do, without relying on artificial intelligence (AI) systems that must undergo ...

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