The rise of AI reveals the differences between human and machine learning, sparking new insights into the human brain.

In today's fast-paced academic world, writing essays can often feel like a daunting task, especially when deadlines are tight ...

With global leaders set to attend a summit on artificial intelligence (AI) in Paris on Feb 10-11, here are some of the key concepts in the field.

Nvidia Corporation greatly benefited from the AI boom with its GPUs driving neural networks and machine-learning models.

A research team from KAIST Nuclear and Quantum Engineering presents an AI assesser for Hall-effect ion thrusters, the engines ...

As UK proposes laws against neural-nets-for-pedophiles Americans may have to think twice about downloading a Chinese AI model ...

Artificial intelligence (AI) is everywhere—from the chatbots we consult for customer support to tools predicting how diseases ...

The neural network artificial intelligence models used in applications like medical image processing and speech recognition ...

AI revolutionizes initial inventory planning and stockpiling by estimating demand even when historical data is missing. This optimizes procurement, reduces costs, and prevents stockouts. AI-driven ...

Hence, researchers often simulate the brain as a network of coupled neural masses, each described by a mean-field model. These models capture the essential features of neuronal populations while ...

A Generative Adversarial Network (GAN) is a type of machine learning model that’s used to generate fake data that resembles ...

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