machine learning

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

Cadence has used machine-learning techniques originally developed for its Cerebrus tool to build software that can speed up multiphysics analysis.

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.

Imagination Technologies has dropped the requirement to take an upfront licence for some of its IP cores if customers join its Open Access program.

DAC returns to San Francisco in July for its 59th year as a purely in-person event.

Synopsys R&D vice president Manish Pandey described the ways in which the tools supplier has harnessed machine learning so far to gain speedups and improvements in coverage.

In a panel at this week’s DVCon Europe, experts described a number of issues facing teams looking to incorporate machine learning in logic verification flows and why some of those efforts will not pay off while others succeed.

Arm has used machine-learning tools supplied by the Solido group at Siemens Digital Industries Software to speed up IP validation runtime a thousand-fold compared to conventional statistical methods.

The program for the 58th Design Automation Conference, which returns to a physical format in December, is online and is running its I Love DAC promotion for free access until the end of this month.

Cadence has organized its machine-learning platforms into three families intended to cover a wide range of on-device AI applications.