Traditional functional coverage has run out of steam and novel methods to improve the understanding of what tests are doing are needed to make progress. That is the view of Greg Smith, director of verification innovation and methodology improvement at Oracle.
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.
Solido acquisition will also add further machine learning expertise to Mentor's capabilities.
Machine learning is among the focus topics at next year's Symposia on VLSI Technology & Circuits in Honolulu, which has issued its call for papers.
Synopsys experts are now blogging about key issues in formal verification - how to use it, which techniques to apply, and the effort/reward ratio of doing so.
A year on from the last Computex and the launch of the Cortex-A73 and Mali-G71, ARM has launched a new trio of processors aimed not just at smartphones this time but servers and driver-assistance systems.
DAC's traditional training day is expanding into the field of machine learning this year in Austin.
Engineering consultancy pays undisclosed sum for IMGworks division.
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.
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