The researchers have developed a new approach to making biometric presentation attack detection (PAD) resistant to demographic bias.

Dr. James McCaffrey presents a complete end-to-end demonstration of decision tree regression from scratch using the C# language. The goal of decision tree regression is to predict a single numeric ...

A new study introduces a global probabilistic forecasting model that predicts when and where ionospheric disturbances—measured by the Rate of total electron content (TEC) Index (ROTI)—are likely to ...

My Creta Electric Excellence LR LogsThe culmination of a search that started from 2021 for the perfect vehicle for my dad, after comparing all ...

This study presents a bio-inspired control framework for soft robots, enhancing tracking accuracy by over 44% under disturbances while maintaining stability.

The engineer behind AI lenses reaching 400 million Snapchat users explains how diffusion models, on-device inference, and GenAI-driven NPCs can transform indie game development.

The integration of deep reinforcement learning with PD control in humanoid robots enhances gait stability and patient comfort ...

Reasoning large language models (LLMs) are designed to solve complex problems by breaking them down into a series of smaller ...

A new study reveals that the next generation of blockchain defenses will not rely on fixed rules alone but on adaptive, learning-based systems capable of evolving alongside intelligent adversaries.

With the introduction of adaptive deep brain stimulation (aDBS) for Parkinson's disease, new questions emerge regarding who, why, and how to treat. This paper outlines the pathophysiological rationale ...

This study proposes a cross-species transcriptomic framework to predict vaccine reactogenicity, with implications for preclinical vaccine safety assessment. The findings show that mouse muscle ...

Department of Chemistry and Biochemistry, University of South Carolina, Columbia, United States ...