Why TSMC is Known as the Trusted FoundryTaiwan Semiconductor Manufacturing Company (TSMC) is widely regarded…Read More
Journey Back to 1981: David Patterson Recounts the Birth of RISC and Its Legacy in RISC-VIn a warmly received keynote at the RISC-V…Read More
Assertion-First Hardware Design and Formal Verification ServicesGenerative AI has transformed software development, enabling entire…Read More
TSMC's Customized Technical Documentation Platform Enhances Customer ExperienceTaiwan Semiconductor Manufacturing Company, the world's leading dedicated…Read More
The 10 Practical Steps to Model and Design a Complex SoC: Insights from Aion SiliconIn the fast-evolving world of semiconductor design, creating…Read More
Artificial intelligence (AI) is everywhere. The rise of the machines is upon us in case you haven’t noticed. Machine learning (ML) and its associated inference abilities promise to revolutionize everything from driving your car to making breakfast. We hear a lot about the macro, end-product impact of this technology, but there… Read More
The commonly advanced reason for IP reuse is lower cost and shorter development time. However, IP reuse presents its own challenges, especially for analog designs. In the case of digital designs, once a new standard cell library is available, it is usually not too hard to resynthesize RTL to create new working silicon. For analog… Read More
This blog is the next in a series in which Paul Cunningham (GM of the Verification Group at Cadence), Jim Hogan and I pick a paper on a novel idea we appreciated and suggest opportunities to further build on that idea.
We welcome comments on our blogs and suggestions for new topics if they’re based on published work.
The Innovation
Our… Read More
Lately, I’ve been cataloging the number of impossible-to-verify technologies we face. All forms of machine learning and inference applications fall into this category. I’ve yet to see a regression test to prove a chip for an autonomous driving system will do the right thing in all cases. Training data bias is another interesting… Read More
When does a haircut become a crew cut in revenues?
All the major semiconductor equipment makers took a significant haircut to their Q1… Read More
Extreme ultraviolet (EUV) lithography targets sub-20 nm resolution using a wavelength range of ~13.3-13.7 nm (with some light including DUV outside this band as well) and a reflective ring-field optics system. ASML has been refining the EUV tool platform, starting with the NXE:3300B, the very first platform with a numerical
Artificial intelligence – more specifically, the machine learning (ML) subset of AI – has a number of privacy problems.
Not only does ML require vast amounts of data for the training process, but the derived system is also provided with access to even greater volumes of data as part of the inference processing while in operation. … Read More
I wasn’t able to attend the SPIE Advanced Lithography Conference this year for personal reasons, but Applied Materials was kind enough to set up a phone briefing for me with Regina Freed to discuss their Materials-Enabled Patterning announcement.
At IEDM Applied Materials (AMAT) tried to put together a panel across the entire… Read More
If it’s your job to get a SoC design through synthesis, timing/power closure and final verification, the last thing you need are surprises in new versions of the IP blocks that are integrated into the design. If your IP supplier sends a new version, the best possible scenario is that this is only a small incremental change from… Read More
How Ultra-wideband aligns with 5G’s premise
In part 3, we discussed the time-frequency duality or how time and bandwidth are interchangeable. If one wants to compress in time a wireless transmission, more frequency bandwidth is needed. This property can be used to increase the accuracy of ranging, as we saw in part 3. Another very… Read More
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Quantum Computing Technologies and Challenges