Myths, Machines, and Ancient Dreams of Technology, explored ancient myths and folklore about creating automation, artificial ...

A new computational breakthrough is giving scientists a clearer view into how dark matter structures evolve. Dark matter has ...

Three 17-year-old Moravian Academy students founded a company that uses AI-powered cameras to alert construction companies to ...

An interactive toolbox for standardizing, validating, simulating, reducing, and exploring detailed biophysical models that can be used to reveal how morpho-electric properties map to dendritic and ...

Ling, A. and Pandya, N. (2025) Quantum Computing and Quantum Sensing: A Pedagogical Introduction to Emerging Quantum ...

University of Illinois Urbana-Champaign corn breeders know profitability is about more than yield. By tweaking kernel composition ...

Ripples maintain time-locked occurrence across the septo-temporal axis and hemispheres while showing local phase coupling, revealing a dual mode of synchrony in CA1 network dynamics.

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...

Recently, addressing the inherent timescale mismatch challenge between fast and slow responses in optoelectronic sensors, a collaborative team from Suzhou Institute of Nano-Tech and Nano-Bionics ...

Researchers are exploring MXenes, 2D materials that could transform air into ammonia for cleaner fertilizers and fuels. Their atomic structures can be tuned to optimize performance, making them ...

CORRECTION: A transcription error misidentified author Dr. Peter Hotez in William Brangham's introduction. The transcript has been updated. We regret the error. From ...