Edge AI — implementing AI models on Edge devices to process algorithms locally rather than in a centralized computing location, like the cloud — has garnered significant attention as one of the fastest developing areas of artificial intelligence. Calculated at roughly $21 billion USD in 2024, the Edge AI market is expected to reach over $143 billion by 2034. This signals a sustained focus across industries on the development of AI-powered Edge systems.
New opportunities for Edge AI ...
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I took my 15-year-old to her first big concert recently - Roger Waters’ Us + Them tour. If you are wondering where am I going with the blog on automotive technologies and talking about Roger Waters, stay with me for a second. She and I both loved the concert, however, as I drove to and from the concert, I struggled with the stress of congested traffic and getting in and out of the parking lot. During those high-stress moments I imagined how wonderful it would be to have an autonomous car that would pick me up and drop me off and navigate through the mess while I could relax.
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Change is constant for embedded video system designers. Over the last few years designers have seen systems that incorporate mobile application processors with an entirely new level of capability, the adoption of new standard interfaces originally developed for the mobile consumer market, and the introduction of a new generation of lower cost image sensors and displays.
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