industry news
Subscribe Now

MicroAI Demonstrates Edge-Native AI at CES

DALLAS—January 5, 2022—MicroAI™, the pioneer in edge-native artificial intelligence (AI) and machine learning (ML) software, announces that it will be demonstrating its Launchpad™ quick-start deployment tool and MicroAI Security software at this year’s CES® exhibition, which takes place in Las Vegas from 5th to 7th January 2022.

MicroAI will be demonstrating Launchpad with iBASIS, a global communications solution provider, at booth 12318. Using connectivity provided by iBASIS, the demo will show how Launchpad can be easily used to manage MicroAI software running on embedded devices, and to handle data from multiple sensors, for example temperature information, as well as to manipulate, analyze and present this data on a single screen. The demo will also show how Launchpad can securely administer an entire fleet of SIM cards, all within the same portal, thus simplifying mobile device management for customers.

“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 be showing its innovative MicroAI Security software at the iBasis booth. MicroAI Security provides a revolutionary approach to mitigate cyber-attacks, and to help protect critical assets, IoT devices, and industrial and manufacturing systems. It uses a proprietary embedded AI algorithm that can detect, alert, and visualize 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 provide alerts when anomalous behavior is identified.

In a separate suite in the Trump International Tower, MicroAI will be demonstrating how its software can be used by manufacturers. MicroAI is collaborating with KDDI, who provide a private LTE network for the system. The MicroAI software enables data from sensors in a factory to be analyzed 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 around the world, so data and intelligence can be automatically shared.

About MicroAI

Based in Dallas, Tx., MicroAI™ is the pioneer in edge-native artificial intelligence (AI) and machine learning (ML) products. The company is personalizing AI for connected machines, edge devices, and critical assets by embedding its proprietary edge-native AI technology directly onto microcontrollers (MCUs) and microprocessors (MPUs) within these edge endpoints. This enables device-specific and more accurate AI modeling for next-gen edge and endpoint cyber security, advanced predictive maintenance, IoT performance optimization, and significant improvements in overall equipment effectiveness (OEE). The company’s mission is to democratize edge-native AI for all connected, smart devices by reducing the complexity, time, and cost to design, develop, and deploy embedded, edge-native AI. For more information, visit www.micro.ai.

Leave a Reply

featured blogs
May 26, 2022
Introducing Synopsys Learning Center, an online, on-demand library of self-paced training modules, webinars, and labs designed for both new & experienced users. The post New Synopsys Learning Center Makes Training Easier and More Accessible appeared first on From Silico...
May 25, 2022
The Team RF "μWaveRiders" blog series is a showcase for Cadence AWR RF products. Monthly topics will vary between Cadence AWR Design Environment release highlights, feature videos, Cadence... ...
May 25, 2022
There are so many cool STEM (science, technology, engineering, and math) toys available these days, and I want them all!...
May 24, 2022
By Neel Natekar Radio frequency (RF) circuitry is an essential component of many of the critical applications we now rely… ...

featured video

Increasing Semiconductor Predictability in an Unpredictable World

Sponsored by Synopsys

SLM presents significant value-driven opportunities for assessing the reliability and resilience of silicon devices, from data gathered during design, manufacture, test, and in-field. Silicon data driven analytics provide new actionable insights to address the challenges posed to large scale silicon designs.

Learn More

featured paper

5 common Hall-effect sensor myths

Sponsored by Texas Instruments

Hall-effect sensors can be used in a variety of automotive and industrial systems. Higher system performance requirements created the need for improved accuracy and more integration – extending the use of Hall-effect sensors. Read this article to learn about common Hall-effect sensor misconceptions and see how these sensors can be used in real-world applications.

Click to read more

featured chalk talk

Vibration Sensing with LoRaWAN

Sponsored by Mouser Electronics and Advantech

Vibration sensing is an integral part of today’s connected industrial designs but Bluetooth, WiFi, and Zigbee may not be the best solution for this kind of sensing in an industrial setting. In this episode of Chalk Talk, Amelia Dalton chats with Andrew Lund about LoRaWAN for vibration sensing. They investigate why LoRaWAN is perfect for industrial vibration sensing, the role that standards play in these kinds of systems, and why 3 axis detection and real-time monitoring can make all the difference in your next industrial design.

Click here for more information about Advantech WISE-2410 LoRaWAN Wireless Sensor