Learn how AI-powered cameras and neural network image processing enable everything from smartphone portraits to machine vision and automotive safety features.
Synopsys joins DARPA’s AISS program as a chip design contractor, developing security-aware EDA tools to accelerate time to market in the chipset design process.
Women play vital roles in developing the tools that engineers around the world use to design smart chips and develop secure code for the amazing devices that are changing the way we work and play. USA Today recently featured three Synopsys engineers, who reflect on their experiences as women in tech and offer advice on carving out success in a male-dominated field.
Posted in Application Security, Artificial Intelligence, Automotive, Cryptography, EDA, Healthcare, Internet of Things, IP, Machine Learning, Malware, Optical Design, Privacy, Quantum Computing, Robotics, Security, Superconducting Electronics, TCAD
In its annual emerging technology domains risk survey, the Department of Homeland Security’s Computer Emergency Readiness Team (CERT) and the Software Engineering Institute at Carnegie Mellon University identified intelligent transit systems as their top domain for future high-priority analysis. The report also identifies machine learning and smart robotics as related dependencies and areas of interest as well.
On Tuesday Joe Jarzombek, Global Manager, Software Supply Chain Solutions with the Synopsys Software Integrity Group, will be one of three invited panelists to talk about the security and quality of automated vehicles (AV) during a luncheon for the U.S. Congressional Robotics Caucus in Washington, D.C.