wearable AI

South Korean robotics company Angel Robotics has launched PHAI-X1, a wearable robot platform aimed at physical AI research. The system is intended to give researchers a hardware base for developing and testing AI that interacts with the physical world, such as exoskeleton control and human-assistance applications. Details on pricing and availability were not included in the initial announcement.

Hearing tech startup Legato has launched its AI-powered hearing glasses, aiming to make hearing assistance a seamless part of everyday eyewear. The announcement, covered by TechCrunch, puts Legato in the growing market of consumer devices that use artificial intelligence to enhance hearing, competing with established hearing aid makers and other audio wearables.

Hearing technology startup Legato has launched AI-powered hearing glasses, combining eyewear with hearing assistance driven by artificial intelligence. The product aims to make hearing support more discreet and accessible, joining a growing wave of tech companies building AI-enhanced wearable devices for everyday health needs.

Meta has unveiled the Muse Charm, a small wearable device described as a Tamagotchi-style companion for its AI assistant. The gadget raises questions about whether dedicated AI hardware makes sense when phones already handle assistants well. Early commentary focuses on whether people want another device to carry, or whether an always-present AI charm could change how casually users interact with AI day to day.

Mobvoi has launched the TicNote Watch, a smartwatch designed to capture notes and meetings continuously without needing a connected smartphone. The device is pitched as a wearable AI meeting assistant, aimed at people who want to record thoughts or conversations on the go. Early coverage highlights its independence from phones as its standout feature.

AI startup PrismML says it has adapted its small language models to run on smart glasses powered by Qualcomm chips. The company's broader aim is open-weight AI that runs entirely on devices, making better use of the computing power hardware already has rather than relying on the cloud. The move highlights growing interest in compact, on-device AI models for wearables.

Researchers at Mount Sinai have developed a wearable AI system that can forecast prolonged sitting in women living with chronic pelvic pain. The technology is aimed at identifying harmful behavior patterns early, potentially allowing patients and clinicians to intervene before symptoms worsen. The announcement highlights growing use of artificial intelligence combined with wearable sensors to manage chronic pain conditions.

Meta's AI glasses are gaining voice-based walking route guidance through Naver Map, according to a report carried by ChosunBiz. The feature lets users receive spoken directions hands-free, a notable step for the device's usefulness in South Korea, where Naver Map is the dominant navigation service. Discussion is unfolding among AI and wearable technology watchers following the report.

Meta is developing a new AI agent called Muse that ties together its smart glasses and metaverse ambitions, alongside continued work on Llama 4 and the use of secure virtual machines. The project is attributed to Mark Zuckerberg's broader push to merge Meta's hardware and AI efforts. The report, circulating on cybersecurity channels, also touches on the security architecture behind these systems.