Machine Learning– tag –
-
Chalmers Pushes Automated Machine Learning for Breakthroughs in Computational Chemistry and Materials Science
Chalmers University of Technology (AIMLeNS) スウェーデン Overview A recent AI4Science seminar at Chalmers University of Technology underscored the transformative impact of machine learning (ML) on computational chemistry and materials re... -
Accelerating Innovation: Lawrence Berkeley’s A-Lab Leverages AI for Self-Driving Materials Discovery
TheSequence USA Overview Self-driving labs are fundamentally transforming materials science by autonomously executing experiments and learning from both successes and failures. Lawrence Berkeley National Laboratory's A-Lab exemplifies th... -
AI-Driven Design Transforms Metal-Organic Materials to Dynamic Networks, Powering Self-Driving Labs for Accelerated Discovery
MDPI International Overview This paper proposes extending AI-driven design of metal-organic materials (MOMs) beyond traditional crystalline MOFs to dynamic coordination networks, such as metal-polyphenol networks (MPNs). It integrates pr... -
AI and Machine Learning Drive Breakthroughs in Sustainable Catalyst Design, Expanding Applications from CO2 Conversion to Polymer Recycling
MDPI Switzerland Overview The integration of Artificial Intelligence (AI) and Machine Learning (ML) is fundamentally transforming catalyst design and sustainable chemical process development. These technologies accelerate new catalyst di... -
Unsupervised ML Overcomes Dimensionality Bottlenecks to Fast-Track Novel Lithium Battery Materials
未公表研究 Unknown Overview A groundbreaking statistical framework leverages unsupervised machine learning (ML) to significantly accelerate the discovery of novel lithium-based battery materials. This approach uniquely mitigates informat... -
UMass Amherst’s Yingjie Hang Wins ECS Student Research Award for High-Sensitivity POC Diagnostic PLFS Combining Plasmonic Nanoparticles and ML
UMass Amherst USA Overview Yingjie Hang, a PhD graduate from UMass Amherst, won the ECS Sensor Division Student Research Award for her work on enhancing the sensitivity of paper lateral flow test strips (PLFS) for point-of-care (POC) dia... -
Flinders University Study Reveals AI-Based Sensing Solutions Revolutionizing Food Industry Quality Control and Safety Assurance
Flinders University Australia Overview Flinders University research explores the transformative role of AI-based sensing solutions for real-time quality control and proactive safety assurance in the food industry. It emphasizes the syner... -
Kyushu University Breakthrough: Low-Cost, High-Precision Biosensors Drive Next-Gen Personalized Health Monitoring
九州大学 Japan Overview Researchers at Kyushu University's Kameoka Lab are developing a suite of low-cost, high-precision biosensors for continuous, real-time physiological monitoring, designed for seamless integration with the Internet ... -
AI and Machine Learning Revolutionize Early Cancer Detection by Enhancing Diagnostic Accuracy through Multi-Omics Data Analysis
Research Paper International Overview This research highlights the transformative role of artificial intelligence (AI) and machine learning (ML) in analyzing multi-omics data (genomics, transcriptomics, proteomics, metabolomics) and medi... -
Zhejiang University Unveils Machine Learning-Enabled Implantable Plant Biomarker Sensor in Nature Communications, Revolutionizing Crop Health Monitoring
AcademicJobs.com China Overview A research team at Zhejiang University has introduced a 'Machine Learning-Enabled Implantable Plant Biomarker Sensor (MLIPBS)' for the early detection and classification of abiotic stresses like acid and s...
