The original version of this story appeared in Quanta Magazine. When she was 10 years old, Rose Yu got a birthday present that would change her life—and, potentially, the way we study physics. Her ...

Integrating deep learning with traditional forecasting techniques can improve early warning systems by capitalizing on each ...

FAYETTEVILLE, GA, UNITED STATES, January 29, 2026 /EINPresswire.com/ -- Accurate atmospheric temperature profiles are ...

Machine learning has emerged as a powerful tool in condensed matter physics, offering new perspectives on the exploration of quantum many-body systems, phase transitions and exotic states of matter.

Patient digital twins aim to create computational replicas of an individual’s physiology that can predict disease trajectories and treatment response.

Fig. 1. Network structure and flow chart. (a) Schematic diagram of the physical model; (b) Basic structure diagram of the proposed network; (c) Image generation process of the physical model; (d) ...