Researchers have developed a learning mechanism that uses the natural variability of neural activity—often dismissed as ...

Learning is often thought to require a brain. But learning is a broad concept that does not necessarily depend on neurons. If ...

NetraAI’s biological and clinical signatures successfully boosted the accuracy of all eight evaluated algorithms across every single dataset testedThe study showed improved performance across ...

Since scientists can't drill 2,900 km (1,800 miles) to the boundary between Earth's core and deep mantle, they must use information relayed by seismic waves recorded during earthquakes to study this ...

Ever since OpenAI launched its ChatGPT model about four years ago, the technology lexicon has witnessed a sea change. Gone ...

Network infrastructure is one of the key requirements for digital connectivity as it enables seamless communication, t ...

High-speed photography is one way to understand the dynamics of cloud cavitation, but image processing is tricky — it’s ...

Professor Arshad Kudrolli is using “physics-informed neural networks” to develop a more efficient, accurate process to ...

Interactive Science Book Forum highlights how adaptive technologies can enhance rather than replace human learning ...

Novel laser-fabricated plasmonic chip combines 185 nm Raman resolution and deep learning to identify and sort cancer cells with 96.2% accuracy.

University of Rochester researchers developed an ultrafast optical gate that converts near-infrared light into visible light ...

When should you use an LLM over a statistical model? Three real-world cases reveal how data, representation, and training ...