Multi-agent AI and robots automate materials discovery in closed-loop lab system

Traditional processes used to discover new materials are complex, time-consuming, and costly, often requiring years of ...
Journal of Medical Internet Research

Passive Sensing for Mental Health Monitoring Using Machine Learning With Wearables and Smartphones: Scoping Review

Passive sensing via wearable devices and smartphones, combined with machine learning (ML), enables objective, continuous, and noninvasive mental health monitoring. Objective: This study aimed to ...
IEEE

Agentic AI Systems: Architecture and Evaluation Using a Frictionless Parking Scenario

Abstract: An AI agent is a goal-oriented autonomous computational entity that connects reasoning and action using large language models (LLMs) or Large Reasoning Models (LRMs), memory systems, and ...
Scientific Research Publishing

Zhao, P., & Yu, B. (2006). On Model Selection Consistency of Lasso. The Journal of Machine Learning Research, 7, 2541-2563.

ABSTRACT: Variable selection using penalized estimation methods in quantile regression models is an important step in screening for relevant covariates. In this paper, we present a one-step estimation ...
IEEE

Machine Learning-Based Intrusion Detection Systems for the Internet of Drones: A Systematic Literature Review

Abstract: The Internet of Drones (IoD) is a dynamic network architecture in which multiple drones, equipped with communication, sensing, and computation capabilities, are interconnected through ...