Interpretable deep learning network significantly improves tropical cyclone intensity forecast accuracy

Predicting tropical cyclones (TCs) accurately is crucial for disaster mitigation and public safety. Although the forecasting accuracy of TC tracks has improved substantially in recent decades, ...

AI tool helps match enzymes to substrates

A new artificial intelligence-powered tool can help researchers determine how well an enzyme fits with a desired target, ...
InfoQ

Thinking Machines Releases Tinker API for Flexible Model Fine-Tuning

Thinking Machines has released Tinker, an API for fine-tuning open-weight language models. The service is designed to reduce ...
InfoQ

Claude Sonnet 4.5 Ranked Safest LLM From Open-Source Audit Tool Petri

Claude Sonnet 4.5 has emerged as the best-performing model in ‘risky tasks’, narrowly edging out GPT-5 in early evaluations ...
Study Finds

Cat Owners Vs. Dog Owners: Who Gives More To Charity? 800 Million Donation Records Analyzed

A 10-year study of 62 million Americans shows cat owners donate more often and to more causes than dog owners, offering new ...
C&EN

High-Entropy Phosphate Synthesis: Advancements through Automation and Sequential Learning Optimization

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Numerical categorisation: pak = 1; viv = 2; nia = 3; pak + swih ...
C&EN

Identify Survived Key Features and Relevant Mechanisms for Designing High-Entropy Carbides via AI or Machine Learning

Multielement high-entropy carbides (HECs) provide many opportunities for HECs to obtain optimal combinations of various properties, e.g., high strength and high flexibility, leading to high toughness.
Frontiers

Detailed evaluation of sleep apnea using heart rate variability: a machine learning and statistical method using ECG data

Department of Electrical and Computer Engineering, Faculty of Engineering, King Abdulaziz University, Jeddah, Saudi Arabia Background: Sleep apnea is a common sleep disorder associated with high ...
IEEE

Phase Formation in Vacuum Arc Melted High Entropy Alloys: Insights From Machine Learning and Experimental Validation

Abstract: In recent years, High Entropy Alloys (HEAs) have gained significant interest due to their unique properties such as high strength, wear resistance, and high temperature stability. However, ...
IEEE

A Comprehensive Assessment of EEG Entropy Measures for Bipolar Disorder Diagnosis Using Machine Learning

Abstract: Bipolar disorder (BD) is a common psychiatric condition with varying severity, characterized by alternating episodes of mania or hypomania and depression, making accurate and timely ...
Scientific Research Publishing

Linardatos, P., Papastefanopoulos, V. and Kotsiantis, S. (2020) Explainable AI: A Review of Machine Learning Interpretability Methods. Entropy, 23, Article 18.

ABSTRACT: Introduction: Breast Cancer (BC) remains a significant health concern worldwide, and accurate prediction of its recurrence after surgery is vital for patient management and treatment ...
UroToday

Harnessing Artificial Intelligence to Predict Spontaneous Stone Passage: Development and Testing of a Machine Learning-Based Calculator.

Objective: We sought to use artificial intelligence (AI) to develop and test calculators to predict spontaneous stone passage (SSP) using radiographical and clinical data. Methods: Consecutive ...