Tech Xplore

Reinforcement learning accelerates model-free training of optical AI systems

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...
IEEE

A Semi-Supervised Ordinal Classification Method Based on Ranking Consistency Regularization

Abstract: We propose a semi-supervised ordinal classification method based on ranking consistency regularization, addressing limitations in capturing ordinal relationships and mitigating semantic ...
Learn With Jay on MSNOpinion

Supervised learning made easy: Real-world example explained

In this video, we will study Supervised Learning with Examples. We will also look at types of Supervised Learning and its ...
Tech Xplore

AI models stumble on basic multiplication without special training methods, study finds

These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated ...
IEEE

A Hybrid Design Method of Lamb Wave Mode Filter Based on Machine Learning and COM Model

Abstract: This paper reports a acoustic filter design process using a hybrid approach based on machine learning and COM model. Machine learning is deployed to accurately predict the filter structure ...
Study Finds on MSN

Mold hiding in your walls? Scientists develop electronic ‘nose’ that can detect it in minutes

The technology detects unique volatile organic compounds each mold species emits, creating distinct “odor signatures” the sensors can recognize 30-minute detection: The device analyzes air samples in ...