“[Geoffrey Hinton] pioneered the efforts to establish deep and dense neural networks,” said Ellen Moons, the chair of the Nobel physics committee ... “It makes you feel inspired. You want to be like ...

To tackle this challenge, we propose a physics-inspired optimization algorithm called relativistic adaptive gradient descent (RAD), which enhances long-term training stability. By conceptualizing ...

One popular source for training data is the Common Crawl: a massive body of text that includes many public-domain books and ... "recurrent neural networks with novel bio-inspired properties." ...

Researchers have explored the potential of deep neural networks (DNNs) in transforming fragrance design. By analyzing the ...

Physics: Current Generated by the Quantum Hall Effect Has Additional Magnetic Properties Dec. 17, 2024 — The quantum Hall effect, a fundamental effect in quantum mechanics, not only generates an ...

An Indian ed-tech physics teacher's innovative method of teaching chirality in chemistry has gone viral. Using his body to demonstrate molecular rotation during a live session, the teacher's ...

In a creative twist to teaching, a Physics Wallah teacher has captured attention for using his own body to explain a chemistry concept during a class. The teacher demonstrated the concept of ...

Westlake University in China and the California Institute of Technology have designed a protein-based system inside living ...