Artificial Intelligence (AI) specialist Kneron declared the launch of its KNEO platform on July 16, connecting edge AI devices with blockchain technology to build secure and private personal networks. The Kneron Neural-network Edge-AI Open platform also develops digital assets out of personal data which can be exchanged or sold to the corporations who need them.

Blockchain-connected sensors create a private network.

KNEO utilizes blockchain technology to connect several edge AI sensors or stems, like cameras, microphones, and thermal sensors. The term “edge AI” indicates to systems that process algorithms locally, rather than send information for remote processing. This indicates that KNEO does not need an internet connection, and all data received is encrypted and secured on an individual private network. Stems can be managed by a central app and connect to improve each other’s abilities as they operate together and share data.

Marketplace to sell custom apps and collected data

Kneron has also injected an edge AI marketplace on Google Play and iOS to promote the open-source community to build applications that update, alter, or merge edge AI devices to perform specific tasks. Potential use cases involve monitoring home energy usage, car maintenance, health and preventative care, home security, and many more.

The marketplace will also combine customers to corporations who need to purchase or utilize their blockchain-enabled data in digital asset form. Driving data collected over a year may be exchanged for discounted automobile insurance, or shopping, lifestyle, and consumption data may be sold to advertisers, brands, or market researchers.

Education is key

KNEO will also make a core part of AI education in universities. Significant universities in the United States, Taiwan, and Hong Kong already utilize Kneron’s technology in courses on AI development. Developers and hobbyists can commence developing apps with just a KNEO stem and a Raspberry Pi.

Artificial intelligence has been around as a concept for a hundred years, although current developments in networking, processing performance and storage have observed a slew of practical improvements. The mixture of AI and blockchain to build secure private customer AI networks signifies a convergence of two of the most touted technologies for the future.