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 ...

A central challenge in recommendation systems is incentivizing exploration, encouraging users to select options that help the platform learn the information needed for better future decisions. In some ...

About You can be found in the Amazon Shopping app, mobile web, and desktop. On mobile, navigate to the Me tab, click on your ...

The promise of smart test is a data-chain problem before it is an algorithm problem. A device can pass every checkpoint and ...

Firefly Aerospace Subsidiary SciTec Awarded AFRL Contract for Advanced Algorithm R&D and Verification Architecture ...

A model made using machine learning can predict if CPAP use in patients with obstructive sleep apnea will benefit or harm ...

Personalized algorithms may quietly sabotage how people learn, nudging them into narrow tunnels of information even when they start with zero prior knowledge. In the study, participants using ...

Andy Roddick pushed back on the growing narrative surrounding Jannik Sinner’s dominance on the ATP Tour, arguing that the ...

This article was co-authored with Emma Myer, a student at Washington and Lee University who studies Cognitive/Behavioral Science and Strategic Communication. In today’s digital age, social media has ...

The leap between experimentation and scalable operationalization is where most organizations find that progress stops.

In a novel attempt to improve how large language models learn and make them more capable and energy-efficient, Stevens ...

EVOLVE, an agentic framework that autonomously optimizes AI training data, model architectures, and learning algorithms — boosting MMLU scores by 18 points over human baselines.