This material may not be published, broadcast, rewritten, or redistributed. Quotes displayed in real-time or delayed by at least 15 minutes. Market data provided by Factset . Powered and implemented by FactSet Digital Solutions . Mutual Fund and ETF data provided by LSEG . Is your personal data changing what you pay online? Apple's $250M Siri settlement: How to claim up to $95 The next connected device could be the shirt you're wearing Hacker claims 7.49M customer records stolen from American utility company Is everyone bricking their phone to stop doomscrolling? The secret list that tells scammers you're an easy target How the'Squatter Hunter' is fighting home takeovers with tech AI robot may stop your dog from barking while you're gone This will be'such a gift' to humankind: Charles Payne Andrew Bailey blasts FBI exit'lies' and reveals why he's leaving the bureau President Trump: Data centers will be'very popular' Trump says America.gov will streamline government paperwork: 'We believe that your time matters' 'We know how to find you': FBI issues direct video warning to ShinyHunters hacking group Emily Compagno blasts Bill Gates' AI doom warnings as tech dangers persist AI technology is'founded on theft,' Ocasio-Cortez warns'We know how to find you': FBI issues direct video warning to ShinyHunters hacking group Following the arrest of an alleged leader in the Netherlands, a top FBI cyber official released an unusual public address urging the remaining cybercriminals to turn themselves in while the choice is still yours.

This material may not be published, broadcast, rewritten, or redistributed. Quotes displayed in real-time or delayed by at least 15 minutes. Market data provided by Factset . Powered and implemented by FactSet Digital Solutions . Mutual Fund and ETF data provided by LSEG . So why is your device showing ads? Would you pay $8,000 for a robot to fold laundry?

Chinese mobile app addresses loneliness crisis as more people live alone. Are You Dead app tops China's paid app charts and ranks sixth in U.S. App Store.

In the digital era, individuals are increasingly exposed to online harms such as toxicity, manipulation, and grooming, which often pose emotional and safety risks. Existing systems for detecting abusive content or issuing safety alerts operate in isolation and rarely combine digital safety with emotional well-being. In this paper, we present SafeSpace, a unified web application that integrates three modules: (1) toxicity detection in chats and screenshots using NLP models and Google's Perspective API, (2) a configurable safety ping system that issues emergency alerts with the user's live location (longitude and latitude) via SMTP-based emails when check-ins are missed or SOS alerts are manually triggered, and (3) a reflective questionnaire that evaluates relationship health and emotional resilience. The system employs Firebase for alert management and a modular architecture designed for usability, privacy, and scalability. The experimental evaluation shows 93% precision in toxicity detection, 100% reliability in safety alerts under emulator tests, and 92% alignment between automated and manual questionnaire scoring. SafeSpace, implemented as a web application, demonstrates the feasibility of integrating detection, protection, and reflection within a single platform, with future deployment envisioned as a mobile application for broader accessibility.

Large Action Models (LAMs) have revolutionized intelligent automation, but their application in healthcare faces challenges due to privacy concerns, latency, and dependency on internet access. This report introduces an ondevice, multi-agent healthcare assistant that overcomes these limitations. The system utilizes smaller, task-specific agents to optimize resources, ensure scalability and high performance. Our proposed system acts as a one-stop solution for health care needs with features like appointment booking, health monitoring, medication reminders, and daily health reporting. Powered by the Qwen Code Instruct 2.5 7B model, the Planner and Caller Agents achieve an average RougeL score of 85.5 for planning and 96.5 for calling for our tasks while being lightweight for on-device deployment. This innovative approach combines the benefits of ondevice systems with multi-agent architectures, paving the way for user-centric healthcare solutions.

Body cameras are usually associated with law enforcement, but what if you could have one for yourself? Imagine being able to capture everything that happens around you and send a distress signal to your family or friends if you need help. That's what PhoneCam, a tiny, affordable and smart AI-powered device, can do for you. CLICK TO GET KURT'S FREE CYBERGUY NEWSLETTER WITH SECURITY ALERTS, QUICK VIDEO TIPS, TECH REVIEWS, AND EASY HOW-TO'S TO MAKE YOU SMARTER PhoneCam is designed to help people feel safer in a world where personal safety fears are at a three-decade high in the U.S., according to a 2023 Gallup poll. It is smaller than a classic BIC lighter and weighs only 20 grams.

Falls represent one of the most detrimental occurrences for the elderly. Given the continually increasing ageing demographic, there is a pressing demand for advancing fall detection systems. The swift progress in sensor networks and the Internet of Things (IoT) has made human-computer interaction through sensor fusion an acknowledged and potent approach for tackling the issue of fall detection. Even IoT-enabled systems can deliver economical health monitoring solutions tailored to pregnant women within their daily environments. Recent research indicates that these remote health monitoring setups have the potential to enhance the well-being of both the mother and the infant throughout the pregnancy and postpartum phases. One more emerging advancement is the integration of 'panic buttons,' which are gaining popularity due to the escalating emphasis on safety. These buttons instantly transmit the user's real-time location to pre-designated emergency contacts when activated. Our solution focuses on the above three challenges we see every day. Fall detection for the elderly helps the elderly in case they fall and have nobody around for help. Sleep pattern sensing is helpful for pregnant women based on the SPO2 sensors integrated within our device. It is also bundled with heart rate monitoring. Our third solution focuses on a panic situation; upon pressing the determined buttons, a panic alert would be sent to the emergency contacts listed. The device also comes with a mobile app developed using Flutter that takes care of all the heavy processing rather than the device itself.