Tech Talk: The statistical underpinnings of safety standards.
Jorg Gosse, functional safety product manager at OneSpin Solutions, talks about the statistics behind the standards, what is considered good enough, and how those numbers vary across different standards.
AI-enabled systems are being designed to process more data locally as device scaling benefits decline.
Foundry forms ASIC subsidiary as it focuses on 14nm/12nm and above.
Market overcrowding, more efficient manufacturing, and growing list of scaling issues create a challenging competitive landscape.
Growing volume of data and limited improvements in performance create new opportunities for approaches that never got off the ground.
Old solutions don’t necessarily work anymore, particularly at advanced nodes and ultra-low voltage.
AI-enabled systems are being designed to process more data locally as device scaling benefits decline.
Lines blur as processors are added into traditional FPGAs, and programmability is added into ASICs.
What AI and deep learning are good for, what they’re not good for, and why accuracy sometimes works against these systems.
What happens when companies are combined? The outcome often isn’t as good as the announcement.
Growing volume of data and limited improvements in performance create new opportunities for approaches that never got off the ground.
As complexity and device sizes rise, so does the need for an on-chip network.
Part 1: New opportunities and potential pitfalls in automotive, 5G, connected intelligence and infrastructure as a service in EDA.
Experts at the Table, part 1: Are we looking to solve the wrong problems? Where does parallelization work best and why.
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