What happens when artificial intelligence gets it wrong? From self-driving cars to medical tools, rapid advances in AI are ...

This study highlights the potential for using deep learning methods on longitudinal health data from both primary and ...

An exploration of how targeted nanoparticles and artificial intelligence algorithms combine to locate prostate cancer earlier ...

Quantum computers are coming and they may impact systems in unexpected ways that security teams will need to plan for.

In the past 18 months, the FDA has outlined clear guidelines for designing, documenting, updating, and monitoring AI-powered ...

ABSTRACT: Personalized dosing of mood stabilizers remains challenging due to substantial inter-individual variability in symptom severity, treatment responsiveness, and vulnerability to adverse ...

Abstract: In this paper, we propose a reinforcement learning based algorithm for rate-profile construction of Arikan’s Polarization Adjusted Convolutional (PAC) codes. This method can be used for any ...

Unmanned surface vehicles (USVs) nowadays have been widely used in ocean observation missions, helping researchers to monitor climate change, collect environmental data, and observe marine ecosystem ...

Aiming to address the complexity and uncertainty of unmanned aerial vehicle (UAV) aerial confrontation, a twin delayed deep deterministic policy gradient (TD3)–long short-term memory (LSTM) ...

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...