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

In a world where machines can code, true intelligence lies in designing the logic that drives them. The future belongs to those who think independently, critically and algorithmically, not ...

Quantum computing may prove to be an existential threat to Bitcoin, but human panic and slow preparation are bigger ...

AI in Computer-Aided Synthesis Planning Market reached USD 2.13 bn in 2024 and is expected to grow rapidly to USD 68.06 bn by ...

Boardroom speaks with the entrepreneur charting a new course in streaming and building music’s middle class. Coda began ...

Philip Ball dives into the challenges in developing quantum computing, and building up investments and users for the tech ...

In a world dominated by algorithms, it's common to associate them with a negative bias. Mathematician Clara Grima defends ...

Abstract: With the wide application of computer networks, in order to provide users with satisfactory services, it is necessary to ensure the quality of network services, and reliability is an ...

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

There is no AI literacy without computer science education. If we want students to shape a world transformed by AI, we must ...

Some of the world’s most interesting thinkers about thinking think they might’ve cracked machine sentience. And I think they ...

UC Santa Barbara computer scientist Daniel Lokshtanov is advancing fundamental understanding of computational efficiency through groundbreaking research on quasi-polynomial time algorithms, supported ...