Researchers at Rice University have developed a mathematical model that enhances our understanding of ovarian aging and the timing of menopause, revealing mechanisms that could inform future ...

In 1951, physicist Julian Schwinger theorized that by applying a uniform electrical field to a vacuum, electron-positron ...

A few months before the 2025 International Mathematical Olympiad (IMO) in July, a three-person team at OpenAI made a long bet that they could use the competition’s brutally tough problems to train an ...

Understanding the brain's functional architecture is a fundamental challenge in neuroscience. The connections between neurons ...

Spintronics is an emerging field that leverages the spin, or the intrinsic angular momentum, of electrons. By harnessing this ...

Actin filaments, key to cell structure and movement, may also transmit electrical signals via ion flows. New research uses ...

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...

By applying a temperature gradient, they created a device that generates a magnon spin current within a magnetic insulator, ...

AI transforms RF engineering through neural networks that predict signal behavior and interference patterns, enabling ...

The $3 million award is supporting Professor Petia Vlahovska’s research into brain-machine interfaces and neuroprosthetics.