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 new McGill-led study reveals that digital brain exercises can rejuvenate aging brain systems responsible for learning and ...

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

They found that creative activities, like dance classes – the tango proved particularly effective – or art classes or music ...

In a rigorous, double-blinded controlled trial, 82 healthy adults over the age of 65 were randomly assigned to play either ...

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

“Edge computing also means less data travels long distances, lowering the load on main servers and networks,” says Neel ...

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 ...

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 ...

GPS guides us to places or help us track our online orders. But the “fine-grained” data collected by it on Android ...

Computer science higher education must embrace GenAI and reinvent teaching methods and learning materials, or risk becoming ...