Machine Learning– tag –
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Universal MLIPs Face Generalization Challenges, ACS Study Highlights Need for Iterative Fine-Tuning of Material-Specific Models
ACS Publications USA Overview An ACS Publications paper highlights that while Universal Machine Learning Interatomic Potentials (MLIPs) are rapidly becoming general tools for atomic simulations, their role in quantitative material modeli... -
Fine-Tuned MACE Foundation Model Develops Transferable MLP Predicting Water Adsorption in 420 Al-MOFs with DFT Accuracy
ACS Publications USA Overview This paper successfully developed a transferable machine learning potential (MLP) by fine-tuning a MACE foundation model to accurately predict water adsorption behavior in Metal-Organic Frameworks (MOFs). Tr... -
Integrated Active Learning and Knowledge Distillation in MLMD Achieves 1/3 Data Efficiency with MACE Model, Outperforming DeePMD
ACS Publications USA Overview This study developed data-efficient and fast Machine Learning Molecular Dynamics (MLMD) interatomic potentials (MLIPs) by combining DeePMD and MACE models within an active learning and knowledge distillation... -
Machine Learning Interatomic Potentials (MLIPs) Accelerate Catalyst Discovery, Achieving DFT-Level Accuracy at Low Cost
nano-matter.com International Overview As of August 2026, Machine Learning Interatomic Potentials (MLIPs) have become a mainstream technology in computational catalyst research, enabling rapid screening of catalyst candidates, efficient ... -
Wearable Sweat Sensors Revolutionize ICU Monitoring: AI to Enable Ultra-Early Diagnosis of Sepsis and Organ Failure via Real-time, Non-invasive Biochemical Fingerprints
EurekAlert! USA Overview Wearable sweat sensors are driving a paradigm shift in Intensive Care Units (ICU) towards non-invasive, continuous real-time monitoring. Sweat serves as a rich reservoir of biochemical data, including electrolyte... -
arXiv Publishes New Papers on Quantile Temporal Difference Learning, CNN Efficiency, and Time Series Forecasting in August 2026
arXiv International Overview arXiv released numerous new preprints in Machine Learning (cs.LG, stat.ML) from August 24-28, 2026. Noteworthy papers include a finite sample analysis for Quantile Temporal Difference Learning in distribution... -
SkillUp Launches AI-Powered ‘JobReady Bundle’ in Asia to Bridge Youth Employment & STEM Skills Gap by 2026
SkillUp International Overview SkillUp launched its 'JobReady Bundle' in Asia on August 26, 2026, integrating AI-driven career guidance and job matching with comprehensive training in STEM, digital, and soft skills. This initiative aims ... -
AI & Machine Learning Weekly Report August 23, 2026
▼ ▼ ▼ If the infographic makes you want to read the full report, please click the download button below. ▼ ▼ ▼ 📄 Weekly Report August 23, 2026 (PDF) — Download Weekly Report August 23, 2026 (PDF) — DownloadDownload 🎙 Podcast August 23, ... -
MDPI Paper Proposes AI-Driven Digital Twin Framework for Real-Time Optimization of Industrial Fermentation
MDPI Switzerland Overview A new paper published in MDPI focuses on leveraging digital twins as an advanced AI application for industrial fermentation processes. The digital twin functions as a real-time virtual replica of a bioreactor, e... -
Norwegian University of Life Sciences Offers PhD Scholarship for AI-Driven Digital Twin to Optimize Microbial Lipid Fermentation in Real-time
Jobbnorge Norway Overview The Norwegian University of Life Sciences (NMBU) offers a PhD scholarship focused on developing AI-driven digital twins for real-time optimization and control of microbial lipid fermentation processes. This proj...
