AI Core – Artificial Intelligence On The Edge




The first embedded ultra-compact Artificial Intelligence processing card for on the edge computing

UP Bridge the Gap – a brand of AAEON Europe – is proud to launch AI Core: the first embedded ultra-compact Artificial Intelligence processing cards for edge computing.

AI Core – Artificial Intelligence On The Edge




AI Core is a mini-PCIe module powered by Intel® Movidius™ Myriad™ 2 technology. This low-power module enhances industrial IoT edge devices with hardware accelerated deep learning and enhanced machine vision functionality. AAEON Technology is one of the first IPC manufacturers to address the growing need for Artificial Intelligence on the edge with dedicated hardware.

Most of the available IoT solutions are focused on connecting edge devices to the cloud and these deployments face challenges related to latency, network bandwidth, reliability and security. Experts in this field agree that not all the tasks and decision making processes can be addressed in cloud-only models. AI Core is the solution for cloud limitations by bringing AI performance and hardware acceleration not “at” but “ON” the edge of the Internet of Things.

AI Core is powered by an advanced vision processing unit: the Intel® Movidius™ Myriad™ 2 VPU. With 512 MB onboard DDR memory this mini card module requires very little energy to enable local deep-learning and computing vision algorithms.

AI Core is ideal for object recognition in products such as drones, high-end virtual reality headsets, robotics, smart home devices, smart cameras and video surveillance solutions.

AI Core is the perfect companion board of UP Squared, the compact expandable board powered by Intel® Celeron® N3350, Intel® Pentium® N4200, Intel Atom® x5-E3940, and Intel Atom® x7-E3950 processor families. However, its mini-PCIe interface makes AI Core compatible with most industrial computer boards in the market.

Using the supported software tools, you can create and train your neural network in the cloud and then run it locally on AI Core.

Read more: AI Core – Artificial Intelligence On The Edge




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