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

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 ...

Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by laser-scanning technologies. Doing the same with forest data has proven far more ...

A team of scientists from EPFL and Alaska Pacific University has developed an AI program that can recognize individual bears ...

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 ...

The researchers stressed the lack of openness in the top climate risk publications doesn’t indicate flawed research or ...

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.

Euan Ashley's lab explores the intricate interactions of gene variants. Tiny "typos," or genetic mutations, can sneak into ...