Frontiers

Trustworthy and Explainable Machine Learning for Human-Aligned Robotics and Intelligent Systems

With the rapid advancement of robotics, intelligent sensing, and autonomous decision-making, robotic and AI systems are increasingly influencing human life ...
AZoRobotics on MSN

Reinforcement Learning Helps Tokamaks Avoid Damage During Plasma Shutdown

Researchers developed a neural state-space model to predict plasma dynamics, optimizing rampdown trajectories and enhancing ...
TheServerSide

AWS Machine Learning Associate Practice Exams

The AWS Machine Learning Exam Simulator helps you assess your readiness by replicating the timing and structure of the official certification. Every question in the Machine Learning Associate ...
TheServerSide

AWS Machine Learning Certification Exam Dumps and Braindumps

If you want a structured and efficient way to prepare, the AWS ML Associate Exam Dump and AWS Machine Learning Sample Questions are designed to reinforce your knowledge through repetition and applied ...
Labiotech.eu

The advent of AI for peptide design: An emerging field

Discover the emerging field of AI-based peptide discovery and design – could this signal the beginning of a golden age for ...
eLife

Explainable machine learning-assisted exploration of chromatin dynamics reveals chromosome-specific response to serum starvation

This interesting study adapts machine learning tools to analyze movements of a chromatin locus in living cells in response to serum starvation. The machine learning approach developed is useful, the ...
Medscape

Artificial Intelligence’s Evolving Role in Diabetes Care

Experts weigh in on the most promising AI applications, from diabetic retinopathy screening to smarter insulin delivery, and the barriers that remain to widespread adoption and access.
IEEE

Learning Positive–Negative Prompts for Open-Set Remote Sensing Scene Classification

Abstract: Most remote sensing scene classification (RSSC) methods are primarily built upon the closed-set assumption, which assumes that all test samples definitely belong to one of the categories ...
Scientific Research Publishing

Regulating AI: A Comprehensive Review of Strategies for the Ethical and Safe Use ()

Artificial intelligence (AI) technologies are progressing rapidly, presenting opportunities and intricate ethical and legal issues. This evaluation delineates modern methodologies and classifications ...
The Lancet

Development and validation of an artificial intelligence system for triple-negative breast cancer identification and prognosis prediction: a multicentre retrospective study

bDepartment of Computer Science and Engineering, The Hong Kong University of Science and Technology, Hong Kong, China cDepartment of Computer Science and Engineering, The Chinese University of Hong ...

Linfeng Hao Proposes an Intelligent Scenario Optimization Framework for Lane Keeping System Safety Testing

A new intelligent framework enhances lane keeping system safety testing by integrating statistical modeling, optimization algorithms, and ...
AHA/ASA Journals

The TRUE-AIM Report Card: A Quality Assurance Initiative of the American Heart Association Journals to Promote High-Quality, Reproducible Artificial Intelligence Research

The editorial board members (AHA) journals are committed to transparency, open-science principles, and quality assurance in the publication of AI-based research articles, with the goal of achieving ...