IoT devices are under increased threat of cyber-attack. Using untested third-party components without proper validation can increase the threat of attack.
2月 19, 2021
IT ecosystems are becoming increasingly complex, putting increased pressure on IT administrators. MicroAI™ brings machine learning to the problem.
2月 5, 2021
Most any time of system, device, or machine will produce performance and/or data anomalies. Convolutional Neural Networks help detect those anomalies.
1月 21, 2021
MicroAI™ Atom, an Edge AI enablement solution, will be used to change existing business models within many industries. Auto insurance is just one of those.
1月 11, 2021
Thingbots are on the rise and are creating a significant cyber threat to the security of IoT ecosystems. Tips on how to protect your IoT assets.
1月 4, 2021
Cycle time analysis, supported by machine learning algorithms, improves the efficiency, output, and reliability of manufacturing assembly lines.
12月 18, 2020
IoT device security is a serious concern within any smart asset ecosystem. A few WiFi vulnerabilities have been detected on ESP32 and ESP8266 devices.
12月 16, 2020
MicroAI™ Atom uses advanced AI and machine learning algorithms to improve the performance, security, and life-span of IIoT assembly line assets
12月 10, 2020
Wearable IoT devices can be prime targets for cyber-attack. MicroAI™ Atom provides AI-enabled IoT device security that is local and non-cloud dependent.
12月 4, 2020
A simple Use Case on how MicroAI™ incorporates X and Y code to deliver real-time management of smart devices and machines. A new device-centric approach to AI.