machine learning

White paper goes from general principles through to worked examples of efficient machine-learning algorithm implmentations on dedicated processor IP.

Wally Rhines, CEO Emeritus of Mentor, a Siemens business, delivered a bullish prognosis for the semiconductor and EDA sectors in a talk at the beginning of the Design Automation Conference in Las Vegas this week.

Analyst Rich Valera points to China as a major source of EDA tool growth despite short-term tensions with the US government.

Synopsys has released PrimeYield, a tool for analysing and optimizing the yield of a design before it is made.

The company is also bundling its new CPU and GPU cores in a premium IP platform that can be tuned for next generation applications and devices.

Mentor takes the wraps off new machine learning fueled features in its HLS and physical design families ahead of DAC 2019.

Achronix is introducing an FPGA architecture that pulls a full network-on-chip into the programmable-logic fabric combined with hardened matrix-math processors for AI.

Mentor is active across the program and its main and Verification Academy booths within the exhibition in Las Vegas.

Security and machine learning are two topics that take center stage at DAC this year, says the conference’s general chair Rob Aitken.

Cadence and OneSpin are applying various forms of machine learning to their tools to automate formal verification.