MicroAI Demonstrates Edge-Native AI: CES 2022

MicroAI-Demonstrates-Edge-Native-AI-at-CES

MicroAI, the pioneer in edge-native artificial intelligence (AI) and machine learning (ML) software, announces that it will demonstrate its Launchpad quick-start deployment tool and MicroAI Security software at this year’s CES exhibition.

MicroAI will be demonstrating Launchpad with iBASIS, a global communications solution provider. Using connectivity provided by iBASIS, the demo will show how Launchpad can be easily used to manage MicroAI software running on embedded devices, handle data from multiple sensors, for example, temperature information, and manipulate, analyse and present this data on a single screen. The demo will also show how Launchpad can securely administer an entire fleet of SIM cards within the same portal, thus simplifying mobile device management for customers.

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“Edge-native AI enables embedded AI software to run on microcontrollers and microprocessors in endpoint devices, transforming how AI can be made available right where data is captured,” said MicroAI CEO Yasser Khan. “Launchpad provides a straightforward way for companies to manage this – opening up new opportunities across many industry sectors.”

At CES, MicroAI will also show its innovative MicroAI Security software at the iBasis booth. MicroAI Security provides a revolutionary approach to mitigate cyber-attacks and help protect critical assets, IoT devices, and industrial and manufacturing systems. It uses a proprietary embedded AI algorithm to detect, alert, and visualise cyber security intrusions in real-time and runs directly on edge and endpoint connected devices. The algorithm teaches a connected device to self-monitor and provides alerts when identified anomalous behaviour.

In a separate suite in the Trump International Tower, MicroAI will demonstrate how manufacturers can use its software. MicroAI collaborates with KDDI, which provides a private LTE network. The MicroAI software enables data from sensors in a factory to be analysed by edge AI algorithms, for example monitoring vibration for predictive maintenance of machine tools. MicroAI Grid then enables a manufacturer to link up multiple sites worldwide, so data and intelligence can be automatically shared.