The embedded FPGA is beginning to find a market, with communications leading the way but machine learning likely to drive further adoption.
Fifteen years on from the design gap that triggered the IP revolution, implementation costs have created a new one.
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.
Mentor will be present throughout the DAC program but with a particular focus on machine learning, artificial intelligence and automotive challenges.
DAC 2018 will see Synopsys focusing on close links with foundry partners, as well as exploring ways to exploit the potential of machine learning, in both SoC architectures and SoC design flows.
Synopsys applies AI to speed PrimeTIme, as part of wider strategy to exploit machine learning to ease chip design
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.
June's Symposia on VLSI Technology & Circuits will bring together a number of industry trends that extend from implantable biomedical applications to machine learning and cloud computing under the banner of technologies for ‘smart living’.
June's DAC will see the culmination of a contest involving more than 100 teams vying to demonstrate the best use of machine learning on embedded hardware in a flying drone.
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