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 ...

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

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

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

Quantum computing is set to redefine data security, AI, and cloud infrastructure. This in-depth research explores how post-quantum cryptography, quantum AI acceleration, and hybrid quantum-cloud ...

Cognizant (Nasdaq: CTSH) today announced a breakthrough from its AI Lab that introduces a novel, efficiency-focused method ...