Google Agent Skills Explained : Manage AI Context with Skill.md Files

Google Agent Skills address context bloat; skills load on demand from skill.md files with YAML front matter, reducing ...

Identifying potential drug candidates with deep learning virtual screening

The earliest stage of drug discovery is governed by a simple constraint: there are far more possible drug-like molecules than any pharmaceutical laboratory could ever test. A new deep learning system, ...

Mohammad Hossain Builds AI-Driven Decision Support Using Business Analytics and Engineering Intelligence for Markets

This research initiative highlights practical AI and business analytics for decision support across infrastructure, ...

AI toolkit turns microscopy images into multi-feature microstructure datasets

A research team from The Hong Kong University of Science and Technology (HKUST) has developed GrainBot, an AI-enabled toolkit that automatically extracts and quantifies multiple microstructural ...

How to build a context-first AI search optimization strategy

AI-driven discovery depends on semantic depth and retrievable structure. Align language, taxonomy, and schema for modern search visibility.
EE World Online

The difference between physical AI and machine learning in power electronics

Physical artificial intelligence (PAI) is the application of AI and machine learning (ML) algorithms to enable autonomous ...
IEEE

Learning in Imperfect Environments: Multi-Label Classification of Non-Functional Requirements under Long-Tailed Distribution

Abstract: Automatically identifying and classifying nonfunctional requirements (NFRs) such as reliability and security from software requirements is one of the most active research topics in the field ...
IEEE

Dark Patterns Detection and Classification Using Machine Learning Techniques

Abstract: UX design shapes the interaction with a digital platform. Most practices., while attempting to increase user satisfaction., can actually deceive users using so-called dark patterns in order ...