OmniBuds Hearables Project by Nokia Bell Labs Backed by Cambridge Future Tech

OmniBuds are the world's first hearables designed to continuously monitor all 5 vital signs, complemented by state-of-the-art augmented hearing capabilities. Conceived by Nokia Bell Labs in Cambridge, UK, the OmniBuds project is now receiving further support from venture builder Cambridge Future Tech. The company entered into a relationship with Nokia Bell Labs and Nokia Ventures & Partnerships to establish OmniBuds Ltd for the commercialization of the OmniBuds platform, as a fully featured ear-worn AI/ML computing platform.

audioXpress June 2024 puts automotive audio development into perspective. Starting with how AI and SDV are impacting the industry, an analysis of Integrated Audio Development Frameworks, how sound defines the driving experience of Electric Vehicles, and lessons learned from aftermarket car audio. Learn how to measure MEMS microspeakers, enjoy two great multiphysics simulation articles by Jinlan Huang and René Christensen, and much more.

SoundHound AI, Inc. launched SoundHound Chat AI, a voice platform that combines proprietary software engineering and machine learning voice AI with third-party Generative AI models, like ChatGPT to select the right response to queries. The SoundHound Chat AI Platform is intended for businesses to build next-generation voice assistants. SoundHound Chat AI app now available to everyone in Android Google Play Store and coming soon to iOS App Store.

SoundHound AI unveiled Dynamic Interaction With Generative AI, further extending the capabilities of the company’s real-time, multimodal interface by granting users hands-free access to a vast wealth of ideas, information, and sophisticated search functionality. A newly released demo showcases how Generative AI platforms, like ChatGPT from OpenAI, would work in-vehicle for the automotive industry.

Advanced semiconductor solutions manufacturer Renesas Electronics, and Syntiant, the chip technology company advancing low-power intelligent voice and sensor processing in edge devices, announced the joint development of a voice-controlled multimodal AI solution that enables low-power voice-controlled operation for embedded AI-based vision processing, such as self-checkout machines, security cameras, video conference systems, and smart appliances such as robotic cleaning devices.