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

The machine-learning programs that underpin their ability to “see” still have blind spots—but not for much longer ...

The three-day event featured 80 research presentations, 3 keynote lectures, and several special sessions and workshops ...

Energy efficiency alone cannot justify trade-offs that might undermine safety. To ensure robust performance under all conditions, the researchers integrated a reinforcement learning–based decision ...

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 ...

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

A common complaint among those who teach computer science, programming, and cybersecurity is that the moment they establish a ...

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 ...

Freedom Bank Kazakhstan, a part of Freedom Holding Corp., a NASDAQ-listed finance and technology group, received the award in ...

As artificial intelligence grows more powerful, so does its appetite for speed and energy. The quest for faster, smarter ...

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