By the middle of this year Arm intends to deliver a processor designed specifically for deep-learning pipelines in edge devices, to capitalize on a move away from cloud computing for image and voice recognition.
A new version of automotive safety standard ISO 26262 is due in 2018 but how close to Level 5 autonomy will it actually take us? And what about security?
Will discuss how automotive OEMs and chip designers can use AI, deep learning, and convolutional neural networks to achieve better performance than traditional techniques.
ARM, Xilinx, Cadence Design Systems, and TSMC have agreed to produce a test chip for the CCIX project.
Formal, AI and UVM form key parts of the OneSpin agenda for this year's Design Automation Conference.
DAC's traditional training day is expanding into the field of machine learning this year in Austin.
Hit by the loss of major client Apple, Imagination Technologies plans to sell off its MIPS and Ensigma divisions. The move signals a shift away from previous plans to diversify out from graphics processors.
L-5 autonomous vehicles need centralized raw data analysis with machine learning to cope with the demands of ASIL-D functional safety. Mentor's response is DRS360.
ARM has pulled together a number of forthcoming changes to its Cortex processor and Big-Little cluster architectures under the umbrella title DynamIQ, claiming they will support the increasing use of AI algorithms in servers and embedded control.
A report put together by the European Union's Hipeac embedded architecture research network claims the challenges of highly interconnected embedded systems will call for what amounts to the reinvention of computing.
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