Kneron Announces KNEO
SAN DIEGO, Calif., July 16, 2020 — Kneron, the edge AI solutions provider, announces a major advancement in consumer AI devices.
Kneron KNEO combines AI devices with blockchain technology to deliver a secure, private network that allows consumers to connect their AI devices together seamlessly. This enhances the capabilities of each device as they work together. All of this can be done without an internet connection, no cloud required. Your data stays in your control and is stored locally on your device and network, cryptographically secured on your own private blockchain, ensuring your home network is impenetrable. You won’t have to worry about big tech spying on you.
KNEO will also introduce the Google Play/iOS App Store for edge AI applications, a first-of-its-kind marketplace leveraging the open source community to populate it with new applications that update, alter or reinvent your edge AI devices. Through this marketplace, users will also be able to turn their data into digital assets stored on the blockchain. They can take control of their data and sell it on their terms, taking control away from big tech.
Albert Liu, CEO of Kneron, says: “When we founded Kneron we wanted to connect all AI devices. AI is often built with a tech first, consumer second approach, creating issues around privacy and security. Kneron changes this. With KNEO, devices powered by edge AI can work together like never before.”
Sensors called KNEO Stems (such as a camera, microphone, or thermal sensor) that support Kneron KNEO will communicate with other devices over your personal KNEO private network. They can be managed remotely through a single app, no matter who manufactures the device — they simply need to be powered by a Kneron chip.
For example, you could connect a KNEO stem to a security camera and another to a door lock to enable tailgating detection. As two people approach the door––one trailing behind the other––the KNEO Stem linked to the door lock will recognize the face of the first person as an authorized user. Simultaneously, the KNEO stem linked to the security camera will detect that there were actually two persons at the door, preventing access as it detects an unauthorized tailgater. This joint intelligence and communication is only possible through KNEO.
KNEO will also form a core part of a new standard for AI education in universities.
Kneron's tech is now being used in major universities in the U.S. (Princeton, USC, UC Irvine, UCLA, UV, Notre Dame), Taiwan, and Hong Kong for courses on AI development. Kneron CEO Albert Liu has co-authored a textbook that is also being used.
Developers and hobbyists can build apps for KNEO using just a KNEO Stem and a Raspberry Pi, or a sensor with a USB port, to develop, download and run AI apps from the KNEO AI app store. KNEO Stems will be the first devices through which consumers and developers can experience KNEO. These apps can be sold through the marketplace, allowing developers to build a user base and monetise their work. They can visit the KNEO website to learn more.
About Kneron
Kneron is a Taiwan and San Diego based technology company that was founded in 2015. It develops both hardware and software products, which are used in smart devices to run and power AI applications. Kneron is a single port of call for device manufacturers who want to integrate AI into their products. The products include hardware such as AI chips and software such as AI models, that device manufacturers can use in everything from autonomous cars, all the way down to a smart fridge, doorbell, or any Internet of Things device. Kneron primarily solves three main problems for smart devices running AI — security, energy and cost, thereby enabling AI everywhere and for everyone. Kneron’s solutions are reconfigurable, and will be as efficient at processing image and audio AI models in the future as they are now. It has raised over $70mn to date and is backed by Horizons Ventures, Alibaba, Qualcomm, Sequoia, and more. For further information about Kneron, please visit: http://www.kneron.com/about.php
Source: Kneron
