machine learning

April 17, 2023

Semidynamics pushes configurability on RISC-V core for HPC

Processor IP company will incorporate custom instructions and other changes in its superscalar core, which includes a novel memory unit for sparse matrices.
Article  |  Topics: Blog - IP  |  Tags: , , ,   |  Organizations: ,
April 6, 2023

Cadence adds AI to PCB design

Cadence Design Systems has expanded its use of machine learning for EDA into PCB design, joining a growing number of suppliers who have decided it is a sector that needs the AI treatment.
Article  |  Topics: Blog - PCB  |  Tags: , , , ,   |  Organizations:
January 31, 2023

Siemens harnesses machine learning for more comprehensive verification

As first silicon success declines, new software aims to provide a more holistic view of coverage data from multiple sources.
Article  |  Topics: Blog Topics  |  Tags: , , , , ,   |  Organizations:
December 1, 2022

Identifying AI opportunities in PCB design

The key to exploiting AI is being clear about where its family of technologies can help to improve and democratize design.
November 21, 2022

DVCon Europe looks to network effects

Aside from the keynotes and technical papers, the networking at an event like DVCon Europe provides a way to keep open-source EDA on the road.
Article  |  Topics: Blog - EDA  |  Tags: , , , , , , ,   |  Organizations:
September 15, 2022

Cadence extends AI to verification data with unified database

Cadence has brought the inputs for its AI-driven tools under the umbrella of a big-data collection platform and added functional verification to the list of products that use machine learning.
July 12, 2022

Devgan plans for optimization through machine learning

Cadence president expects expanded role for reinforcement learning in tool portfolio and looks for help on AI for verification.
Article  |  Topics: Blog - EDA  |  Tags: , , , , , ,   |  Organizations:
June 28, 2022

Coherency verification for CXL

CXL is a strongly-backed technology aimed at improving connectivity across datacenters handling high demand HPC and AI applications.
June 10, 2022

Cadence adds machine learning to electrical simulation

Cadence has used machine-learning techniques originally developed for its Cerebrus tool to build software that can speed up multiphysics analysis.
Article  |  Topics: Blog - EDA, Electrical Design  |  Tags: , , ,   |  Organizations:
June 1, 2022

Oxide DRAM gains traction at VLSI Symposium

VLSI Symposium 2022 will show the rapid development taking place in oxide-based replacements for traditional DRAM cells as well as the emerging area of memory-based low-power machine learning.

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