This project is a machine learning application built from scratch to classify images of cats and dogs using a Convolutional Neural Network (CNN) model. The dataset includes thousands of images, ...

This release provides the BREST-AI 16-bit, four-view model developed at the University of Warwick with NHS and academic collaborators. It estimates an examination-level three-year risk score from a ...

Comparison of a fine-tuned small LLM against CNN and BiLSTM baselines for malware family classification, evaluated for robustness under synthetic opcode-sequence obfuscation. Join the competition at ...

When you start learning machine learning, you encounter many terms such as "features," "loss functions," "gradient descent," ...

Emerging clinical research with psilocybin highlights the value of the psychedelic experience on successful treatment of a multitude of psychiatric disorders. While the psychedelic trip or clinical ...

Researchers have developed an interpolation-based method that generates synthetic MRI training data between age- and ...

AI is gradually becoming part of everyday healthcare, from identifying patients at risk of complications to helping doctors ...

The benefits of AI can be lost if the technology disadvantages certain people or groups. Learn how to select the best AI bias ...

This study provides a valuable resource describing the size, density, and synaptic proximity of mitochondria across thousands of neurons in the Drosophila brain, drawn from a well-annotated electron ...

Two-dimensional layered carbides and nitrides, broadly known as MXenes, are finding increased use in applications such as electromagnetic shielding and membranes. However, their synthesis can still be ...

A new open-access study reports an AI and IoT-based system that classifies college spoken English performance with 95.47 ...