Studies in Rwanda and Pakistan reveal real-world utility of chatbots in underfunded clinics, and not just in benchmark tests.

Abstract: sQUlearn introduces a user-friendly, noisy intermediate-scale quantum (NISQ)-ready Python library for quantum machine learning (QML), designed for seamless integration with classical machine ...

Satellites and spacecraft in the vast region between Earth and the moon and just beyond—called cislunar space—are crucial for ...

Researchers have published the recipe for an artificial-intelligence model that reviews the scientific literature better than ...

From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...

Intel is looking for a Data Scientist who specializes in Demand and Supply Planning to develop advanced analytics and machine learning systems that will optimiz ...

Discover the key differences between Data Science, Data Engineering, and AI. Learn about their unique roles, technical ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

AI-powered penetration testing is an advanced approach to security testing that uses artificial intelligence, machine learning, and autonomous agents to simulate real-world cyberattacks, identify ...

Although large language models (LLMs) have the potential to transform biomedical research, their ability to reason accurately across complex, data-rich domains remains unproven. To address this ...

Something extraordinary has happened, even if we haven’t fully realized it yet: algorithms are now capable of solving ...