On 17 October 2024, Martina Lamberti publicly defended her Ph.D. thesis, "Know the Past to See the Future: Memory and Prediction in In-Vitro Cortical Neurons," at the University of Twente. Her ...
Designing materials that steer light is a slow kind of trial and error. Each candidate structure must be tested in computer ...
In our increasingly electrified world, supercapacitors have emerged as critical components in transportation and renewable energy systems, prized for their remarkable power density, cycling stability, ...
Lumo leverages advanced machine learning to reduce calibration time, and flag low-confidence response factor predictions.
Physics-informed neural networks are faster and more accurate at predicting space junk trajectories than conventional methods, says Sierra Space. Credit: Alamy Stock Photo Sierra Space says it can ...
How a subfield of physics led to breakthroughs in AI – and from there to this year’s Nobel Prize
John J. Hopfield and Geoffrey E. Hinton received the Nobel Prize in physics on Oct. 8, 2024, for their research on machine learning algorithms and neural networks that help computers learn. Their work ...
Most people think of social interaction as a conscious choice. You see someone, decide whether to approach them, and then act ...
Discover how a new neural operator framework enables engineers to predict wind behavior over mountains, revolutionizing wind ...
The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 possible variants-more combinations than atoms in the observable universe.
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