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 ...

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 ...

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 ...

We use algorithms every day for things like image searches, predictive text, and securing sensitive data. Algorithms show up ...

Artificial intelligence (AI) can be trained to see details in images that escape the human eye. In 2023, an AI neural network ...

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

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

Peer review has met its match.

Opinion thrives on confidence. Evidence thrives on proof. This list brings together science-backed books that dismantle popular beliefs, challenge lazy thinking, and replace certainty with research.

Twenty-five years of research into complex systems shows why artificial intelligence will always produce errors in healthcare ...