Chromatography Online

AI/ML in Practice: Emery Bosten Explores Assisted Active Learning (AAL)

In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...

Journal of Environmental Sciences Study Reveals How Artificial Intelligence can Transform PM2.5 Monitoring

New deep-learning framework reconstructs hourly PM2.5 chemical composition using air-quality and meteorological data ...
Chromatography Online

AI/ML in Practice: Emery Boston explores assisted active learning (AAL)

In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...
Communications of the ACM

Embodied AI for Science

This post examines the evolution of robotic laboratories and outlines the key breakthroughs required to advance toward genuinely embodied scientific intelligence. The earliest defining milestone of ...
IEEE

Joint User Activity Detection and Channel Estimation in MC-GFMA Systems by Block Sparse Bayesian Learning With Threshold Optimization

Abstract: Future wireless communications are expected to support massive connectivity in various applications, such as massive Machine-Type Communications (mMTC) and different types of IoT networks, ...
usace.army.mil

Army establishes new AI, machine learning career path for officers

WASHINGTON – The U.S. Army has established a new career pathway for officers to specialize in artificial intelligence and machine learning (AI/ML), formally designating the 49B AI/ML Officer as an ...
C&EN

Autonomous Robotic Mechanical Exfoliation of Two-Dimensional Semiconductors Combined with Bayesian Optimization

State Key Laboratory of Tribology in Advanced Equipment, Tsinghua University, Beijing 100084, China State Key Laboratory of Clean and Efficient Turbomachinery Power Equipment, Department of Mechanical ...
Frontiers

Intelligent optimization of slope step parameters in open pit mines containing weak interbedded layers based on machine learning and multi-objective optimization methods

1 Faculty of Land Resources Engineering, Kunming University of Science and Technology Kunming, Kunming, China 2 Pangang Group Mining Company Limited Panzhihua, Panzhihua, Sichuan, China The stability ...
IEEE

High-Speed Link System Surrogate Modeling and Co-Optimization Based on Multimodal Machine Learning and GraphVAE

Abstract: With the continuous advancement of very-large-scale integra tion technology, high-speed interconnect systems are increasingly challenged by signal integrity (SI) issues arising from feature ...
Scientific Research Publishing

Optimization of Complex Spray Drying Operations in Manufacturing Using Machine Learning: Evaluating Techniques for Energy Efficiency and Product Quality Enhancement ()

This paper investigates the application of machine learning techniques to optimize complex spray-drying operations in manufacturing environments. Using a mixed-methods approach that combines ...