An interatomic potential is a set of mathematical rules that describes the complex dance of forces between atoms — how atomic ...

Machine learning is revolutionizing fundamental science by tackling long-standing mathematical challenges. A key example is ...

Abstract: A global continuous-variable quantum key distribution (CV-QKD) network can be established using a series of satellite-to-Earth channels. Increased performance in such a network is provided ...

Explore five free and low-cost AI certifications that help tech professionals build AI skills across cloud, machine learning, ...

This repository contains a modular, reproducible pipeline for predicting cell cycle phases (G1, S, G2M) from single-cell RNA-seq data using deep learning and traditional machine learning models.

ABSTRACT: Background: Sporadic hemiplegic migraine (SHM) is a rare and complex type of migraine that is characterized by temporary paralysis or weakness (hemiplegia) on one side of the body, which is ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...

Cancer, Alzheimer’s, and other diseases follow a pathway in the human body. It starts at the molecular and cellular levels, and through a series of complex interactions can lead to the development and ...