eLife

Critique of impure reason: Unveiling the reasoning behaviour of medical large language models

A survey of reasoning behaviour in medical large language models uncovers emerging trends, highlights open challenges, and introduces theoretical frameworks that enhance reasoning behaviour ...
FinanceFeeds

Crypto Data Science 101: How Analysts Make Sense of the Blockchain

Explore how data science transforms blockchain analysis, enhancing crypto security, scalability, and market insights.
C&EN

Bridging Deep Learning and In Situ Spectroelectrochemistry: A Hybrid Framework for Uncovering Fundamental Insights of Multi-Electron Processes

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Machine learning (ML) has rapidly become a transformative tool ...
AZOM

Understanding the Fundamental Reaction Governing Lithium-Ion Battery Performance

Researchers at Massachusetts Institute of Technology (MIT) have quantified lithium intercalation rates across various battery materials and utilized this information to create a novel model explaining ...
Business Wire

WorldQuant University Launches Deep Learning Fundamentals Lab, a Free, Hands-On AI Credential

WASHINGTON--(BUSINESS WIRE)--WorldQuant University (WQU) has launched the Deep Learning Fundamentals Lab, a free, 16-week online certificate program designed to equip learners with advanced technical ...
ucdavis.edu

Engineers Create Mini Microscope for Real-Time Brain Imaging

The DeepInMiniMicroscope developed by UC Davis electrical engineering professor Weijian Yang combines optical technology and machine learning to create a device that can take high-resolution ...
Scientific Research Publishing

Rudin, C., Chen, C., Chen, Z., Huang, H., Semenova, L., & Zhong, C. (2022). Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges. Statistics Surveys ...

ABSTRACT: Machine learning (ML) has revolutionized risk management by enabling organizations to make data-driven decisions with higher accuracy and speed. However, as machine learning models grow more ...
C&EN

Machine Learning Force Fields in Electrochemistry: From Fundamentals to Applications

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Secondary batteries, fuel cells, and electrolytic cells have ...
IEEE

Machine Learning for Wireless Metaverse: Fundamentals, Use Case, and Future Directions

Abstract: Today’s wireless systems are posing key challenges in terms of quality of service and quality of physical experience. Metaverse has the potential to reshape, transform, and add innovations ...
IEEE

Machine Learning-Based Classification of Programming Logic Understanding Levels by Mouse-Tracking Heatmaps

Abstract: In the past decade, there has been a significant increase in the growth of the global technology employment market, primarily owing to the digital age, artificial intelligence expansion, ...
ascopubs.org

Artificial Intelligence and Machine Learning Innovations to Improve Design and Representativeness in Oncology Clinical Trials

Breast and Gynecologic Cancer Care for Sexual Minority Women and Transgender People The integration of artificial intelligence (AI) and machine learning (ML) in oncology clinical trials is rapidly ...