MZ Technologies Launches Advanced Packaging Design Video SeriesIn a significant move aimed at empowering semiconductor…Read More
Superhuman AI for Design Verification, Delivered at ScaleThere is a new breed of EDA emerging.…Read More
The Quantum Threat: Why Industrial Control Systems Must Be Ready and How PQShield Is Leading the DefenseIndustrial control systems (ICS) underpin the world’s most…Read More
Radio Frequency Integrated Circuits (RFICs) Generated by AI Based Design AutomationBy Jason Liu, RFIC-GPT Inc. Radio frequency integrated…Read More
As reported recently by Dan Nenni, Siemens has signed an agreement to acquire Cambridge, UK-based UltraSoC Technologies Ltd. We’ve all seen plenty of mergers and acquisitions in EDA. Some transactions perform better than others. The best ones enhance an existing product or service by blending non-overlapping technologies.… Read More
There is a famous scene in the 1976 movie Taxi Driver when Robert De Niro’s character Travis is pretending to have a conversation looking in the mirror and repeatedly saying “Are you talking to me?”. I think about this scene every time I use a voice active device – Hey, are you talking to me? Yes, I am, but are you listening?
Voice command,… Read More
A few months ago, I wrote about the announcement of a new digital full flow from Cadence. In that piece, I focused on the machine learning (ML) aspects of the new tool. I had covered a discussion with Cadence’s Paul Cunningham a week before that explored ML in Cadence products, so it was timely to dive into a real-world example of the … Read More
There have been a multitude of announcements recently relative to the incorporation of machine learning (ML) methods into EDA tool algorithms, mostly in the physical implementation flows. For example, deterministic ML-based decision algorithms applied to cell placement and signal interconnect routing promise to expedite… Read More
An Artificial Intelligence (AI) system is only as good as its training. For AI Machine Learning (ML) and Deep Learning (DL) frameworks, the training data sets are a crucial element that defines how the system will operate. Feed it skewed or biased information and it will create a flawed inference engine.
An update is now available here: Application-Specific Lithography: Patterning 5nm 5.5-Track Metal by DUV
The 5nm foundry (e.g., TSMC) node may see the introduction of 6-track cells (two double-width rails plus four minimum-width dense lines) with a minimum metal pitch in the neighborhood of 30 nm. IMEC had studied a representative… Read More
The Zero Trust Model of information #security simplifies how #information security is conceptualized by assuming there are no longer “trusted” interfaces, applications, traffic, networks, or users. It takes the old model— “trust but verify”—and inverts it, because recent breaches have proven that when an organization trusts,… Read More
Time to Change our Thinking:
It is time to work the other side of the communications equation. Send less data. But apply new synthetic data science and machine learning to get more and richer information: a way that requires the transfer of radically fewer actual bits – perhaps 1 or 2% of the bits – but with higher model fidelity.… Read More
We always warn clients that even in the best of times, Joint Ventures (JVs) in China always end in tears. And we are far from the best of times right now. There is a major example of this playing out right now with Arm China.
Arm’s China JV is, to put it simply, a bit of a mess. The Board has fired the CEO, but he has refused to leave. And owing… Read More
There is an interesting white paper out from Mentor on how a customer used the Solido Varation Designer tool to reduce Monte Carlo simulations. As you may know I worked for Solido for 10+ years up until they were acquired by Mentor in December of 2017. It was an incredible personal and professional experience. I have the highest respect… Read More
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Quantum Computing Technologies and Challenges