Machine learning is gradually moving into implementation and verification tools for EDA.
For nVidia chief scientist and Stanford professor Bill Dally, now is a great time to be involved in hardware design, thanks to the rise of AI.
Synopsys applies AI to speed PrimeTIme, as part of wider strategy to exploit machine learning to ease chip design
IEDM has issued a call for papers for its 2018 conference, expecting to cover devices and circuit interactions in neuromorphic, quantum and conventional computing.
DAC in June will feature a series of keynotes and technical sessions on machine learning and AI for both target applications and in the design process itself.
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.
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