Last month, eMemory Technology hosted a webinar titled “eMemory’s Embedded Logic-NVM Solution for AI Chips.” While the purpose was to present their embedded Logic-NVM solution, the webinar nicely sets the stage by highlighting Analog NVM’s value as it relates to neural networks. Of course, the algorithms of neural networks… Read More
Tag: ai chips
CEO Interview: Mo Faisal of Movellus
Prior to founding Movellus, Dr. Faisal held positions at semiconductor companies such as Intel and PMC Sierra. Faisal received his B.S. from the University of Waterloo, and his M.S. and Ph.D. from the University of Michigan, and holds several patents. Dr. Faisal was named a “Top 20 Entrepreneur” by the University of Michigan Zell… Read More
Optimize AI Chips with Embedded Analytics
The foundry model, multi-source IP blocks, advanced packaging technologies, cloud computing, hyper-connectivity and access to open-source software have all contributed to the incredible electronics products of recent times. Along with this, the complexity of developing and taking a chip to market has also increased. And… Read More
Synopsys is Enabling the Cloud Computing Revolution
In 2019 I was involved in a major project to move all our engineering and financial systems to the cloud. We succeeded in this endeavor, but it wasn’t easy. We faced a lot of infrastructure challenges during our journey. The freedom from facility management and capital budgeting offered by the cloud was significant, however. If … Read More
AI Hardware Summit, Report #3: Enabling On-Device Intelligence
This is the third and final blog I have written about the recent AI Hardware Summit held at the Computer History Museum in Mountain View, CA. Day 1 of the conference was more about solutions in the data center, whereas Day 2 was primarily around solutions at the Edge. This presentation from Day 2 was given by Dr. Thomas Anderson, Head,… Read More
AI Hardware Summit, Report #2: Lowering Power at the Edge with HLS
I previously wrote a blog about a session from Day 1 of the AI Hardware Summit at the Computer History Museum in Mountain View, CA, held just last week. From Day 2, I want to delve into this presentation by Bryan Bowyer, Director of Engineering, Digital Design & Implementation Solutions Division at Mentor, a Siemens Business.… Read More
AI Hardware Summit, Report #1: Doing More to Cost Less
I recently had the pleasure of attending the AI Hardware Summit at the Computer History Museum in Mountain View, CA. This two-day conference brought together many companies involved in building artificial intelligence solutions. Though the focus was on building the hardware for this area, there was naturally much discussion… Read More
How to be Smart About DFT for AI Chips
We have entered the age of AI specific processors, where specialized silicon is being produced to tackle the compute needs of AI. Whether they use GPUs, embedded programmable logic or specialized CPUs, many AI chips are based on parallel processing. This makes sense because of the parallel nature of AI computing. As a result, in… Read More
Making AI Silicon Smart with PVT Monitoring
PVT – depending on what field you are in those three letters may mean totally different things. In my undergraduate field of study, chemistry, PVT meant Pressure, Volume & Temperature. Many of you probably remember PV=nRT, the dreaded ideal gas law. However, anybody working in semiconductors knows that PVT stands … Read More