Article Roundup: Safety and Security in Automotive, Mobile Devices and Moore’s Law, the Rise of AI/ML in the Cloud, and New Tools for AI Design and Verification
- Disregard Safety And Security At Your Own Peril (Experts at the Table, Part 1)
- Who’s Responsible For Security Breaches? (Experts at the Table, Part 2)
- Mobile Battery Life vs Moore’s Law – A Survival Guide
- The Implications of the Rise of AI/ML in the Cloud
- Delivering Design/Verification Tools to Create AI Chips
Disregard Safety And Security At Your Own Peril (Experts at the Table, Part 1)
SemiEngineering
The bar for safety in the automotive industry is climbing quickly, especially in regards to the electronic components inside modern vehicles. How do safety and security practices new to automotive relate to those in aviation? A group of experts, including Mentor’s Jake Wiltgen, discuss the differences.
Who’s Responsible For Security Breaches? (Experts at the Table, Part 2)
SemiEngineering
The experts continue to discuss automotive industry attitudes to safety and security. In part two, the discussion turns towards security threats, breaches, and the responsibility for defending against those threats.
Mobile Battery Life vs Moore’s Law – A Survival Guide
EE Times
Battery-powered mobile device applications depend on the continuation of Moore’s Law to provide increasing compute power with lower power consumption. Moore’s Law, however, is slowing down, threatening the future of mobile computing. This article discusses how the design community is working to survive and succeed after the ending of Moore’s Law.
The Implications of the Rise of AI/ML in the Cloud
SemiWiki
In his recent keynote at the 56th DAC, Wally Rhines discussed the flood of funding and design effort in AI and ML designs. From 2012 to 2019 the AI/ML segment has received almost quadruple the amount of funding as the second-best funded category, about $2 billion. Furthermore, much of this funding has come from startups and systems companies that are eager to adopt new design methodologies such as HLS and emulation.
Delivering Design/Verification Tools to Create AI Chips (Part 1 & Part 2)
EE Web
Mentor’s Jean-Marie Brunet moderated a panel at the latest DVCon U.S. focusing on AI and ML. Panelists included Raymond Nijssen, vice president and chief technologist at Achronix; Rob Aitken, fellow and director of technology from Arm; Alex Starr, senior fellow at AMD; Ty Garibay, Mythic’s vice president of hardware engineering; and Saad Godil, director of applied deep-learning research at Nvidia. Read parts one and two of a four-part series summarizing the panel discussion.
