DAC 2019: Day 3


Two keynotes get day three of DAC started. The first by John Cohn, Massachusetts Institute of Technology & IBM Watson AI Lab. "I am a nerd. Look back 100 years in processing. We have gone from mechanical computing to where we are today, but it has not been a smooth curve. There are smooth places and then discontinuities. This is when what you were working on no longer works. How we make tho... » read more

DAC 2019: Day 2


Day two of DAC started off with a highly anticipated keynote given by Thomas Dolby, musician, producer and innovator. Dolby has always been fascinated with the convergence of music and technology. He started off with a fanfare by balancing a broom on his finger to demonstrate the type of control we have as human beings. He went on to expand the analogy to the hive mind of groups of individuals,... » read more

DAC 2019: Day 1


The last time that DAC was in Las Vegas was 2001. Much has changed since then. The first day kicked off with the usual ceremonies and then two short keynotes. A change from previous years is that keynotes are now on the show floor. This is presumably to ensure that once the keynotes are over, everyone sees the vendor booths. During the commencement session, it was also announced that all cof... » read more

Moore Open Source Coming


The sunsetting of Moore's Law is creating some interesting ripples throughout the EDA and IP industries. No longer is the low-risk path defined by a migration to the next node. Most companies cannot afford it and don’t need it. Neither can their competitors. Suddenly, they have to do more with less, or at least the same amount. Consider just a few things that are changing today: Stick... » read more

Defining Verification


There was a time when the notion of rigorous verification was seen as being unnecessary and even wasteful. I can remember early in my career working on flight control computers. We did no functional verification and created no models. We prototyped it and ran some engineering tests through it, primarily to structurally verify the system. We did not test the functionality of the system – that ... » read more

The Value Of A Model


Increased talk about the Digital Twin has brought models to the forefront of the discussion. What are the right models for particular applications? What is the correct level of abstraction? Where do the models come from and how are they maintained? How does one value a model? The semiconductor industry has been reluctant to create any model that is not directly used in the development path. ... » read more

Follow The Data


What does antitrust mean in the age of data? Data is in many cases gathered for free and has huge value to those who can turn that data into information and make decisions based on it. Amazon has become an example in retail because they see more sales data than any other retailer – not just what they sell, but what others choose to sell on their platform. Amazon gets to see all the data an... » read more

Should AI Mimic Real Life?


There is a lot we still do not know about how the human body and brain works. Today's machines are far from being anything like as capable, or power frugal, or having the ability to make decisions. True – machines have been made for highly specific tasks that can now beat a human. But there lies one of the human mind's greatest features – when it makes mistakes, it asks how it can do better... » read more

Top Stories For 2018


Each year, I look back to see what articles people like to read. The first thing that has amazed me each year at Semiconductor Engineering is that what should be a strong bias towards articles published early in the year never seems to play out. The same is true this year. More than half of the top articles were published after July. The second thing that remains constant is that people love... » read more

Patently Absurd


One thing I like about the holiday season is that it gives me the opportunity to be a little less formal and have a little fun. I find humor within the patent system. I can remember growing up and being told that our next-door neighbor was crazy—but brilliant because he had a patent. Everyone looked to him as though he was a technology god. Later in life I learned how easy it is to get a p... » read more

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