The Northwestern CS Theory Group and Toyota Technological Institute at Chicago co-hosted the Junior Theorists Workshop held ...

Sachdeva’s breakthrough challenges one of the most studied problems in computer science, known as maximum flow, which supports how information, traffic, and resources move through networks ...

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...

The future of work will demand fluency in both science and technology. From addressing climate change to designing ethical AI systems, tomorrow’s challenges will require interdisciplinary thinkers who ...

Computer simulations carried out by astronomers from the University of Groningen in collaboration with researchers from ...

Quantum computers could revolutionize everything from drug discovery to business analytics—but their incredible power also ...

Peer review has met its match.

The privacy protection issue of multi-domain traffic engineering has always been a hot topic. Consider that domains from ...

Twenty-five years of research into complex systems shows why artificial intelligence will always produce errors in healthcare decisions, regardless of technological improvements or funding.

Tech companies have touted scientific findings from AI systems. But can they truly produce bona fide advancements?

Artificial Intelligence (AI) models are only as good as the data on which they are trained. Yet gathering enough high-quality ...