The use of machine learning (ML) to solve complex problems that could not previously be addressed by traditional computing is expanding at an accelerating rate. Even with advances in neural network design, ML’s efficiency and accuracy are highly dependent on the training process. The methods used for training evolved from CPU… Read More
Tag: AI
FPGAs in the 5G Era!
FPGAs, today and throughout the history of semiconductors, play a critical role in design enablement and electronic systems. Which is why we included the history of FPGAs in our book “Fabless: The Transformation of the Semiconductor Industry” and added a new chapter in the 2019 edition on the history of Achronix.
In a recent blog… Read More
IEDM 2019 – Applied Materials panel EUV Recap
On Tuesday night of IEDM, Applied Materials held a panel discussion “The Future of Logic: EUV is Here, Now What?”. The panelists were: Regina Freed, managing director at Applied Materials as the moderator, Geoffrey Yeap, senior director of advanced technology at TSMC, Bala Haran, director of silicon process research at IBM, … Read More
Webinar – AI/ML SoC Memory and Interconnect IP Perspectives
For decades development work on Artificial Intelligence (AI) and Machine Learning (ML) was done on traditional CPUs and memory configurations. Now that we are in the “hockey stick” upturn in deployment of AI and ML, the search is on for the most efficient types of processing architectures. The result is a wave of development for… Read More
Synopsys and Infineon prepare for expanding AI use in automotive applications
We all know that cars are using processors for many tasks, but it is easy to fail to comprehend just how many there are in a typical modern car. Browsing through the Infineon AURIX automotive processor application guide, you can start to see just how pervasive processors are. The AURIX processors are specifically designed for automotive… Read More
AI Chip Prototyping Plan
I recently had the opportunity to sit down with a chip designer for an AI start-up to talk about using FPGA prototyping as part of a complex silicon verification strategy. Like countless other chip designers for whom simulation alone simply does not provide sufficient verification coverage, this AI start-up also believed that… Read More
Tensilica DNA 100 Brings the AI Inference Solution for Level 2 ADAS ECUs and Level 4 Autonomous Driving
I recently wrote about Tensilica’s HiFi DSPs which played a significant role at Cadence’s Automotive Design Summit which was held on the Cadence San Jose campus at the end of July. That article focused on infotainment while briefly touching on Advanced Driver-Assistance Systems (ADAS). ADAS is NOT synonymous with autopilot.… Read More
Semicon West 2019 – Day 2
Tuesday July 9th was the first day the show floor was open at Semicon. The following is a summary of some announcements I attended and general observations.
AMAT Announcement
My day started with an Applied Materials (AMAT) briefing for press and analysts where they announced “the most sophisticated system they have ever released”.… Read More
2019 GSA Silicon Summit and SiFive
Naveed Sherwani, President and CEO of SiFive, did the keynote for this year’s Silicon Summit. This is one of the premier events for the C level executives in Silicon Valley, absolutely. Naveed is one of the top visionaries for the semiconductor industry and he certainly did not disappoint this time or any other time in my experience.… Read More
The Implications of the Rise of AI/ML in the Cloud
Recently, Daniel Nenni blogged on the presentation Wally Rhines gave at #56th DAC. Daniel provided a great summary, but I want to dive into a portion of the presentation in more detail. I love Wally’s presentations, but sometimes you cannot absorb the wealth of information he provides when you initially see it. It’s… Read More