On December 23, 2025, Tohoku University and Fujitsu Limited announced the successful application of AI to derive new insights into the superconductivity mechanism of a new superconducting material.

Researchers led by Min Zhang and Dabao Zhang of the University of California, Irvine's Joe C. Wen School of Population & ...

Researchers developed theoretical foundations for methods that could identify the best way to aggregate genes into modules and efficiently learn the underlying cause-and-effect relationships among ...

Tohoku University and Fujitsu Limited have successfully used AI to derive new insights into the superconductivity mechanism of a new superconducting material. Their findings demonstrate an important ...

European pharma giant AstraZeneca Plc’s (NASDAQ:AZN) Covid vaccine, developed with the University of Oxford, is facing a class action lawsuit alleging its vaccine caused death and serious injury in ...

Causal inference is crucial in biological research, as it enables the understanding of complex relationships and dynamic processes that drive cellular behavior, development, and disease. Within this ...

Background The efficacy of injury prevention programs is clear, but their causal mechanisms are not. Better knowledge about why injury prevention programs work will improve implementation and guide ...

AI became powerful because of interacting mechanisms: neural networks, backpropagation and reinforcement learning, attention, training on databases, and special computer chips.