Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

A marriage of formal methods and LLMs seeks to harness the strengths of both.

Something extraordinary has happened, even if we haven’t fully realized it yet: algorithms are now capable of solving ...

The Eagle Mat Pro boosted my practice time.Getty Images I'm always looking for ways to make practice more productive without needing to live at the driving range. One of the biggest things I focus on ...

The nervous system does an astonishing job of tracking sensory information, and does so using signals that would drive many computer scientists insane: a noisy stream of activity spikes that may be ...

Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, structureless data. Yet when trained on datasets with structure, they learn the ...

And just like that, cinema-goers are in a frenzy again – Wicked: For Good has hit the silver screen. Part two of the hugely popular film adaptation of Wicked the musical, it stars, once again, ...

As we age, our body’s nervous system starts to slow down. The nerves that tell our muscles to move don’t fire as quickly. That decline can shape how we move, react, and perform. Resistance training ...

Abstract: The paper focuses on the development of a software program for creating and training ANN (artificial neural network) models. This program allows users to create their own ANN models without ...

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy inefficiency in power amplifiers for next-generation wireless communication.