Attorney Bill Meyer joins producer/host Coralie Chun Matayoshi to discuss how the medical field lends itself to the use of AI ...

FRIDAY, Oct. 24, 2025 (HealthDay News) -- Machine learning (ML) outperforms human graders for diagnosing glaucoma, according to a study presented at the annual meeting of the American Academy of ...

Abstract: During muscle contractions, force distributions are generated on muscle surfaces due to muscle activity, which is applicable for control in a Human-Machine Interface. It has been proven that ...

Mayra Villalobos earned a 2025 Global Recognition Award for transforming human resources into a strategic growth engine at CV3 Financial Services, building a comprehensive infrastructure from ...

In this interview series, we’re meeting some of the AAAI/SIGAI Doctoral Consortium participants to find out more about their research. Zahra Ghorrati is developing frameworks for human activity ...

The UK government will consult on police facial recognition before further expanding its use across England, says policing minister Sarah Jones. Speaking during the Labour party annual conference, ...

Conventional microelectronics are scaled to the fibre level for information processing and storage in flexible, stretchable textiles. Compared to single-fibre systems, multi-fibre computational ...

Today, Apple published on its Machine Learning Research blog, select recordings from its 2024 Workshop on Human-Centered Machine Learning (HCML), highlighting its work on responsible AI development.

Abstract: This paper explores human activity recognition (HAR) using machine learning models to classify activities based on sensor data with high precision. The study leverages the UCI HAR dataset, ...

Introduction: Advancements in sensing technologies have enabled the integration of inertial sensors, such as accelerometers and gyroscopes, into everyday devices like smartphones and wearables. These ...

Contactless Human Activity Recognition (HAR) has played a critical role in smart healthcare and elderly care homes to monitor patient behavior, detect falls or abnormal activities in real time. The ...