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Company reports continued commercial momentum, advances Human Intent Decoding via its Large MUAP Model (LMM), and expands into Physical AI and Next-Gen Hardware YOKNE’AM ILLIT, Israel, Aug. 24, 2026 (GLOBE NEWSWIRE) -- Wearable Devices Ltd. (the “Company” or “Wearable Devices”) (Nasdaq: WLDS, WLDSW), a technology growth company specializing in artificial intelligence (“AI")-powered touchless sensing wearables, today announced its financial results for the six months ended June 30, 2026. ...
New continuation patent protects the ability to authenticate users from their unique biological signals, unlocking secure payments, user detection, and authorized actions August 11, 2026 08:45 ET | Source: Wearable Devices Ltd. Yokneam Illit, Israel, Aug. 11, 2026 (GLOBE NEWSWIRE) -- Wearable Devices Ltd. (Nasdaq: WLDS, WLDSW) (“Wearable Devices” or the “Company”), a technology growth company specializing in artificial intelligence (“AI”)-powered touchless sensing wearables, today announced...
wearable devices, today announced that it has entered into a securities purchase agreement with a single institutional investor, for the purchase and sale of 1,000,000 ordinary shares. The gross proceeds from the offering are expected to be approximately $3.3 million, before deducting placement agent commissions and other offering expenses.
The wheel keeps coming back. Not because designers ran out of ideas. Because rotating something with your fingers is one of the most natural ways to control a machine. The rotary phone turned a wheel to enter numbers. ☎️ The iPod turned a wheel into fast navigation through music. The mouse wheel made scrolling through digital content effortless. ️ Different devices. Different decades. The same basic interaction. That is what makes the wheel interesting. Great input methods do not always...
The 3D mouse solved a real problem. A regular mouse moves across a flat surface. But 3D work needs more than left, right, up, and down. It needs movement through space: push, pull, twist, tilt, rotate, and turn. That is what the 3D mouse was built for. It went to space. ️ It helped control a robot in orbit. It helped drive a rover across Mars. And yet, it never became the mouse on everyone’s desk. Why? Because most people do not navigate 3D space every day. For CAD designers,...
Wearable Devices Ltd.today announced the release of a new white paper, "From Intention to Action: How Brain–Computer Interfaces Are Removing Friction from AI & AR Interaction", that positions its Mudra neural interface as the foundational "intent layer" for agentic AI, augmented reality (“AR”), and robotics across consumer, enterprise, and industrial markets.
Over the past four days, our team had the opportunity to meet with developers, researchers, product leaders, OEMs, partners, and XR pioneers from around the world. We shared our latest work in neural interfaces, demonstrated Mudra Link, Mudra Studio and Mudra Pro. We co-developed new concepts at the intersection of AI, spatial computing, robotics, and human-machine interaction. Some of the most interesting conversations centered around Physical AI and how technologies such as neural input and...
Today, 1:40PM PDT, AWE Long Beach. We are entering the era of "motionless interaction," where the boundary between thinking and doing begins to dissolve. Guy Wagner - our Chief Scientist and co-founder - will explore how Brain-Computer Interfaces (BCI) are moving beyond the lab and onto the wrist to redefine our relationship with AR and AI. He will dive into the "Holy Grail" of neural control - a world where intention turns directly into action without the need for bulky headsets, cameras, or...
Wearable Devices Ltd.today announced that Guy Wagner, Founder and Chief Scientific Officer of Wearable Devices, will deliver a keynote session, titled "How BCI is Removing the Friction from AR and AI Interaction" at AWE USA 2026 taking place in Long Beach, California.
Here’s a look at one of the concepts we’re exploring: combining EMG-based neural input from two Mudra Link bands with open-source computer vision hand tracking. By synchronizing real-time pressure levels and multi-hand interactions, we’re exploring how neural input and computer vision can help teach machines not only what humans do, but how they do it. As Physical AI advances, understanding human tasks requires more than observing motion alone. Intent, force, timing, coordination, and other...