Scientists in Spain have used genetic algorithms to optimize a feedforward artificial neural network for the prediction of energy generation of PV systems. Genetic algorithms use “parents” and ...

When designing a robot, such as Boston Dynamics' anthropomorphic robot Atlas, which appears exercising and sorting boxes, ...

Recent research has focused on enhancing the performance of neural networks through various optimization techniques, addressing common challenges such as training inefficiencies and errors in output.

Mixture-of-experts (MoE) is an architecture used in some AI and LLMs. DeepSeek garnered big headlines and uses MoE. Here are ...

Random noise, such as background hubbub on a phone call, is usually thought of as unwanted interference. Now researchers at ...

China's frugal AI innovation is yielding cost-effective models like Alibaba's Qwen 2.5, rivaling top-tier models with less ...

Generative AI is revolutionizing the field of cybersecurity by providing advanced tools for threat detection, analysis, and ...

DNNs, while highly effective in tasks such as melanoma detection and cardiovascular disease prediction, often rely on ...

A model developed by the University of Cordoba uses neural networks to optimize the decoding of markers used by machines to ...

A recent publication in Engineering unveils an exciting breakthrough in optical fiber communication. Scientists have developed a neuro-meta-router (NMR) that combines metasurfaces and deep-learning ...

In the past, however, the normal techniques used to train them ... their technique works in practice, successfully training a spiking neural network to distinguish handwritten numbers accurately ...

Inspired by high-dimensional data and the ideals of open science, high-energy physicists are using artificial intelligence to ...