Achronix has incorporated direct support for machine learning into the latest version of its eFPGA architecture.
Next week's DVCon Europe conference in Munich will tackle a range of topics, from analog verification to the use of machine learning for functional verification, backed up with case studies on the use of TLM and SystemC in live projects.
A recent white paper from Synopsys outlines the complexities of developing hardware for use in machine-learning and artificial-intelligence (AI) systems.
Mentor has added three companies since its acquisition a little over a year ago - and there's method to this buying spree.
The rapid growth of interest in machine learning and artificial intelligence has prompted Synopsys to bring all its AI IP together in a microsite and brochure.
IP supplier FotoNation has decided to embrace the use of high-level synthesis in the creation of cores for smartphones and other high-integration, low-power systems.
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.
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