Data science and machine learning algorithms can help us form probabilistic forecasts of things like sporting events.

Quantum computers, systems that process information leveraging quantum mechanical effects, have the potential of ...

Abstract: This article proposes a data-driven model-free inverse Q-learning algorithm for continuous-time linear quadratic regulators (LQRs). Using an agent’s trajectories of states and optimal ...

Autonomous AI models can bring specialist-level retinal screening to clinics worldwide, aiding the diagnosis of diabetic ...

The Diagnostic Window Bottleneck: Neurologists rely heavily on EEGs to diagnose epilepsy, but standard clinical sessions provide only a 20-minute snapshot of brain activity, making manual detection ...

Epilepsy isn't always easy to diagnose. Seizures often don't occur during routine brain-wave recordings (EEGs), leaving doctors without the direct observation they need to make a clear diagnosis.

With $500 million in funding and a reported $2.5 billion valuation, Flourish wants to reinvent AI by putting real neurons ...

Every organism you have ever seen, every ecosystem you have ever walked through, is the ongoing output of an algorithm that ...

The YouTube algorithm recently spat out a video of Kaden Groves almost crashing on stage one of last year’s Tour de France. I saw it at the time, but my mind immediately got swamped with the rest of ...

This repository contains the core recommendation system powering the "For You" feed on X. It combines in-network content (from accounts you follow) with out-of-network content (discovered through ...

Abstract: In this study, machine learning algorithms in IoT IDS (Internet of Things Intrusion Detection System) systems are comprehensively compared from various aspects. Accuracy, precision, and ...