Using Cycle Time Analysis to Improve Assembly Line Performance
Cycle time analysis, supported by machine learning algorithms, improves the efficiency, output, and reliability of manufacturing assembly lines....
04 January, 2021
Author: MicroAI Admin
WiFi Vulnerabilities on ESP32/ESP8266 IoT Devices
IoT device security is a serious concern within any smart asset ecosystem. A few WiFi vulnerabilities have been detected on...
18 December, 2020
Assembly Line Monitoring Using Advanced AI Technology
MicroAI™ Atom uses advanced AI and machine learning algorithms to improve the performance, security, and life-span of IIoT assembly line...
16 December, 2020
Wearable IoT Device Security – Threats and Solutions
Wearable IoT devices can be prime targets for cyber-attack. MicroAI™ Atom provides AI-enabled IoT device security that is local and...
10 December, 2020
The Critical Role of X and Y Code Within MicroAI™
A simple Use Case on how MicroAI™ incorporates X and Y code to deliver real-time management of smart devices and...
04 December, 2020
MicroAI AtomML™ Enables Greater Greenhouse Productivity
The Agriculture sector is under increasing pressure to increase productivity and reduce costs. MicroAI™ Atom embeds AI into sensors to...
03 December, 2020
Using Behavioral Prediction in Autonomous Vehicles
Autonomous Vehicles (AV), enabled by a host of behavioral prediction technologies, will be making our roadways safer and more predictable....
12 November, 2020
Using MicroAI AtomML™ to Enable Endpoint AI Solutions
Implementation of AI can be too costly for some operations. MicroAI AtomML™ reduces AI-enablement costs by eliminating additional hardware and...
05 November, 2020
Unlocking Industrial Transformation with Embedded and Edge AI
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04 November, 2020
ONE Tech Delivers Visibility, Improving Overall Equipment Effectiveness for Auto Manufacturers Through AI
ONE Tech, a global leader in edge AI technology, today announced that auto manufacturers around the world are reducing...
29 October, 2020