Embedded AI & MACHINE LEARNING
 

Wednesday 8/26

 
AI is probably the most talked about subject in the embedded space these days. Hardly a meeting goes by without AI being brought up, either as the main subject of conversation or something peripherally related. That was certainly the case with the virtual press conference I attended last week for Blaize, a fairly new entrant to the space.
 
AI
 
AAEON and AOTU.AI announced the launch of the BrainFrame Edge AI Developers Kit (DevKit) on an Intel AI platform for IoT that will allow developers and system integrators to create and deploy Smart Vision applications.
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DeepRoute and Cao Cao Mobility announced the companies' partnership to advance the design, development, and commercialization of Cao Cao's autonomous robo-taxis service.
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Xilinx, Inc. announced that its technology is powering the new version of Subaru?s vision-based advanced driver-assistance system (ADAS), EyeSight.
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Neousys announced that, succeeding the Nuvo-7166GC, its Nuvo-8240GC dual Tesla T4 edge AI inference platform also qualified as an NVIDIA Tesla T4 server.
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Datamatics was recognized in this report under Text Summarization as a Sample Vendor. Datamatics has its own platform TruAI which is a comprehensive Artificial Intelligence and Cognitive Sciences solution.
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The NVIDIA? Jetson Nano? Developer Kit is a powerful tool for learning how to develop using AI. It?s the perfect platform to start creating amazing projects with real-time image classification, object detection, segmentation, and speech processing.
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It wouldn?t be much of a stretch to say that artificial intelligence (AI) can be used in just about any application in the industrial sector. As the technology gets pushed out to the Edge of the IoT, the number of uses climbs considerably. Developers are moving quickly toward deployment of their AI architectures, thanks to advances from vendors like Vecow.
 
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