Machine learning is transforming how information processing works and what it can accomplish. The push to design hardware and networks to support machine learning applications is affecting every aspect of the semiconductor industry. In a video recently published by Synopsys, Navraj Nandra, Sr. Director of Marketing, takes… Read More
The year 2017 wasn’t a great year for cyber-security; we saw a large number of high-profile cyber attacks; including Uber, Deloitte, Equifax and the now infamous WannaCry ransomware attack, and 2018 started with a bang too with the hackingof Winter Olympics. The frightening truth about increasingly cyber-attacks is … Read More
According to the Economist, “The world’s most valuable resource is no longer oil, but data”. Is this the case?Data is the by-product ofmany aspects of recent technology dynamics and is becoming the currency of today’s digital economy. All categories in Gartner’s Top10 Strategic Technology Trends for 2018 (Figure… Read More
I attend a lot of events on machine learning and write about it regularly. However, I learned some exciting new information about machine learning in a very surprising place recently. Every year for the last few years I have attended the HSPICE SIG dinner hosted by Synopsys in Santa Clara. This event starts with a vendor fair featuring… Read More
How could we differentiate between deep learning and machine learning as there are many ways of describing them? A simple definition of these software terms can be found here. Let’s look into Artificial Intelligence (AI), which was coined back in 1956. The term AI can be defined as human intelligence exhibited by machines.… Read More
If you haven’t noticed, there has been a BIG influx of money into Artificial Intelligence (AI) technologies. Most recently, the Chinese government announced that AI is one of their top initiatives with a goal to catch up with the United States within 3 years and to be the world leader in AI by the year 2030. Horizon Robotics, founded… Read More
I recently read a new white paper release by Mentor, a Siemens Business, that delved into the intricacies of Chemical Mechanical Polishing (CMP) and I got a sense of Déjà vu. My professional career in the IC industry started at Texas instruments and the white paper made me think of a conversation I had with one of my colleagues over … Read More
Neural networks make it possible to use machine learning for a wide variety of tasks, removing the need to write new code for each new task. Neural networks allow computers to use experiential learning instead of explicit programming to make decisions. The basic concepts related to neural networks were first proposed in the 1940’s,… Read More
TSMC held its Open Innovation Platform Forum the other week on September 13[SUP]th[/SUP]. Each year the companies that exhibit at this event choose to highlight their latest technology. One of the most interesting presentations that I received during the event was from Solido. In recent years they have produced a number of groundbreaking… Read More
Traditionally, EDA has been a brute force methodology where we buy more software licenses and more CPUs and keep running endless jobs to keep up with the increasing design and process complexities. SPICE simulation for example; when I meet chip designers (which I do quite frequently) I ask them how many simulations they do for a … Read More
