A comprehensive review of ML's potential and its current use identifies challenges ahead.
Computational storage devices are posing a new raft of challenges that is being addressed using a powerful pre-silicon methodology.
High-level synthesis is playing another important role in the matching of AI algorithms to necessarily application-specific designs.
Six papers, a dedicated automotive sessions and demos including the use of the Nucleus for RISC-V are among highlights in Mentor's Embedded World agenda.
Mentor has a host of tools - some public, some not - that leverage AI and ML. EVP Joe Sawicki has been describing the strategy behind their development.
The automotive market faces challenges that make it a prime candidate for the greater use of high-level synthesis on designs with AI and ML content.
A SystemC/C++ app from a library that extends the OneSpin 360 DV-Verify platform was used by ML IP specialist NanoSemi on a 5G/WiFi project.
Mentor's AI Accelerator Ecosystem adds reference designs, libraries and other forms of support around its Catapult HLS platform.
Mentor takes the wraps off new machine learning fueled features in its HLS and physical design families ahead of DAC 2019.
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