"Any Python developer should be able to bring their business users closer to fresh, reliable data," Matthias Krzykowski, dltHub's co-founder and CEO told VentureBeat in an exclusive interview. "Our ...

As the self-quantification movement matures, users are expanding beyond physical tracking to assess how they think, decide, ...

Introduction Timely detection, notification and response are critical for mitigating outbreak impact, yet evidence linking timeliness to public health outcomes is limited.Methods We hypothesised that ...

Jacqui Muller, researcher at Belgium Campus iTversity and a UiPath Most Valued Professional looks at how AI-powered robotics ...

A sweeping new proposed rule would expand both who must submit biometric data during immigration proceedings and the kinds of ...

Every day, over 5 billion people exchange more than 100 billion messages across WhatsApp, Telegram, iMessage, and Signal. Most assume their chats are private but a growing body of research suggests ...

Discover how Google Earth AI integrates diverse datasets to solve complex challenges, from natural disasters to public health ...

Abstract: To address the issue of delay-sensitive data collection in wireless sensor networks (WSNs), autonomous aerial vehicles (AAVs) offer a promising solution due to their flexibility and ...

Microsoft faces a new privacy backlash over its Gaming Copilot AI, which users report automatically installs and sends ...

dSchool of Health Sciences, Faculty of Medicine and Health, University of New South Wales, Sydney, New South Wales, Australia eDepartment of General Practice, Erasmus MC, University Medical Center, ...

Abstract: Wearable microfluidic devices for sweat collection and analysis have gained significant attention for their potential in noninvasive health monitoring. However, challenges remain in ...

This project provides parsing, validation, and analysis tools that save agent tokens by handling deterministic operations agents struggle with or waste excessive tokens on. It complements ...