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How technology is simplifying global communication systems

In today’s interconnected world, communication has evolved into something far more efficient and accessible than it onc ...

Survey finds skepticism of sign language tech among deaf community

Sign-language technology promises to "make your content available to millions" by using artificial intelligence to translate ...
Cult of Mac

New iPhone hacking tool puts hundreds of millions of devices at risk

Researchers just discovered the DarkSword iPhone hacking tool, which could infect hundreds of millions of devices. Here's ...

App Orchid Enables Role-based Control of LLMs in Agentic BI

New release introduces role-based AI guardrails and mobile Easy Answers experience SAN RAMON, CA / ACCESS Newswire / ...
The Hacker News

Six Android Malware Families Target Pix Payments, Banking Apps, and Crypto Wallets

Six Android malware families discovered targeting banking apps and crypto wallets, exploiting accessibility features to steal ...
IEEE

VLONS: A Vision-and-Language On-device Navigation System with Multimodal Fusion and Modular Framework

Abstract: A fundamental challenge in embodied intelligence is developing vision-and-language navigation (VLN) systems that operate efficiently on resource-constrained devices while possessing plug-and ...
Detroit Free Press

Influential Women Spotlights Pilar Veru: Championing Equity, Language Access, and Sustainable Impact in Education

CLIFFSIDE PARK, NJ, UNITED STATES, February 19, 2026 /EINPresswire.com/ — Accomplished Education Leader and Global Changemaker Advancing Academic Excellence Through ...
The Lancet

Mapping the susceptibility of large language models to medical misinformation across clinical notes and social media: a cross-sectional benchmarking analysis

aThe Windreich Department of Artificial Intelligence and Human Health, Mount Sinai Health System, New York, NY, USA bThe Hasso Plattner Institute for Digital Health at Mount Sinai, Mount Sinai Health ...
IEEE

Large Language Model Compatibility With Reinforcement Learning for Networked Microgrids Considering Device and System-Level Missing Measurements

Abstract: The deep reinforcement learning (DRL) approach with its end-to-end and data-driven features enhances the operational strategies for networked microgrids (NMGs). Well-trained DRL agents can ...