Embedded AI & MACHINE LEARNING
 

Tuesday 8/11

 
With evolving technologies, intelligent automation has become a top priority for many executives in 2020. Forrester predicts the industry will continue to grow from $250 million in 2016 to $12 billion in 2023. With more companies identifying and implementation the Artificial Intelligence (AI) and Machine Learning (ML), there is seen a gradual reshaping of the enterprise.
 
AI
 
NXP has added support for the open-source Glow neural network compiler to its eIQ machine learning software development framework.
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Aveva announced the release of its Aveva Insights Operations Management Interface (OMI) app. The application was designed to combine AI with an operator?s real-time decision-making.
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QuickLogic Corporation announced that it has joined CHIPS Alliance, the consortium advancing common and open hardware for interfaces, processors, and systems.
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Artificial Intelligence (AI) applications take into consideration the compute, storage, memory, pipeline, communication interface, software, and control. Further, AI application processing can be distributed across multi-core within processors, multiple processor boards on a PCIe backbone, computers distributed across an ethernet network, high-performance computer, or system across a data center.
 
AI
 
Tensai Flow includes a compiler, a neural network zoo, and middleware with FreeRTOS, a hardware abstraction layer (HAL), and frameworks for sensors and IoT/cloud enablement.
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Zhejiang Asia-Pacific Mechanical & Electronic Co. Ltd. (APG) will deploy the Visconti 4 image-recognition processor in its next generation advanced driver assistance system (ADAS).
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Dialog Semiconductor announced that its EcoXiP octal xSPI non-volatile memory (NVM) is now optimized to be used with Renesas? RZ/A2M Arm-based microprocessors (MPUs).
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Despite the array of potential benefits that might come with the implementation of AIoT, businesses? efforts for large scale deployment seem to keep falling short. Failures can be attributed to a variety of reasons, with the reasons themselves often being different depending on the stage at which the project finds itself.
 
AIoT
 

 
 
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