Overview:  Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write ...

The researchers behind the recent work, based in China, decided to implement something similar for an artificial skin that ...

The native just-in-time compiler in Python 3.15 can speed up code by as much as 20% or more, although it’s still experimental ...

Researchers have engineered a next-generation glutamate sensor, iGluSnFR4, capable of detecting the faintest incoming ...

Continuing our look at the work of the IOWN project, we find out what use cases the next evolved generation of the infrastructure will support and which firms are likely to gain.

A biologically grounded computational model built to mimic real neural circuits, not trained on animal data, learned a visual categorization task just as actual lab animals do, matching their accuracy ...

A new computational model of the brain based closely on its biology and physiology has not only learned a simple visual ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...