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Artificial Intelligence
First, a quick definition. By “structured assembly,” I mean the collection of tools to support IP packaging with standardized interfaces, SoC integration based on those IPs together with bus fabric and other connectivity hookups, register definition and management in support of hardware/software interface definition, … Read More
Suresh is a technology executive with deep technical expertise in semiconductors, artificial intelligence, cybersecurity, internet-of-things, hardware, software, etc. He spent 20 years in the industry, most recently serving as an Executive Director for open-source zero-trust chip development at Technology Innovation… Read More
So… , we’re 4 months before tapeout. You were assigned to close place & route on three complex key blocks. You have 15 machines for the job, 5 per block.
You send your first batch, 5 runs per block. You’re not very surprised that your first batch fails. You modify the scripts, and run another batch. And… (Surprise… Read More
AI is here, there, and absolutely everywhere – now and forever.
The electronics industry, and the world at-large, have experienced an overwhelming amount of AI coverage this year, with no letup in store for 2024. Both EE Times and Silicon Catalyst have recently staged events around artificial intelligence:
Those of you who have been in the industry for a little while will remember that the recipe for reliable electronics in cars (and other vehicles) used to be simple. Stick to old (like 10 years old) and well-proven processes and tweak rather than tear up and restart well-proven designs to the greatest extent possible. Because incrementing… Read More
Founded in 2016 and based in Barcelona, Spain, Semidynamics™ is the only provider of fully customizable RISC-V processor IP. The company delivers high bandwidth, high performance cores with vector units and tensor units targeted at machine learning and AI applications. There were some recent announcements from Semidynamics… Read More
Formal methods offer completeness in proving functionality but are difficult to scale to system level without abstraction and cannot easily incorporate system aspects outside the logic world such as in cyber-physical systems (CPS). Paul Cunningham (Senior VP/GM, Verification at Cadence), Raúl Camposano (Silicon Catalyst,… Read More
Last week Synopsys announced their next step in generative AI (GenAI) in Synopsys.ai Copilot based on a collaboration with Microsoft. This integrates Azure OpenAI together with existing Synopsys.ai GenAI capabilities to extend Copilot concepts to the EDA world. For those of you unfamiliar with Copilot, this is a development… Read More
The surge in Edge AI applications has propelled the need for architectures that balance performance, power efficiency, and flexibility. Architectural choices play a pivotal role in determining the success of AI processing at the edge, with trade-offs often necessary to meet the unique demands of diverse workloads. There are… Read More
As integration levels increase, clock frequencies rise, and feature sizes shrink it is not surprising that all or most aspects of semiconductor design become more complex and demand more from design technologies. One example where the traditional approach is breaking down is in optimizing power distribution networks (PDNs)… Read More
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From the Selfie to Samantha: The Next Trillion-Dollar Behavior