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Let The AI Benchmark Wars Begin!

Let The AI Benchmark Wars Begin!
by Michael Gschwind on 01-01-2019 at 7:00 am

Why benchmark competition enables breakthrough innovation in AI. Two years ago I inadvertently started a war. And I couldn’t be happier with the outcome. While wars fought on the battle field of human misery and death never have winners, this “war” is different. It is a competition of human ingenuity to create new technologies … Read More


Emulation Evaluation for the Ages!

Emulation Evaluation for the Ages!
by Daniel Nenni on 12-24-2018 at 7:00 am

One of the more entertaining things I get to observe in the semiconductor ecosystem is competitive customer evaluations of tools and IP. Seriously, this is where the rubber meets the road no matter what the press releases say.

This time it was emulators which is one of the most interesting EDA market segments since there is no dominant… Read More


AI at the Edge

AI at the Edge
by Tom Dillinger on 12-20-2018 at 7:00 am

Frequent Semiwiki readers are well aware of the industry momentum behind machine learning applications. New opportunities are emerging at a rapid pace. High-level programming language semantics and compilers to capture and simulate neural network models have been developed to enhance developer productivity (link). Researchers… Read More


Embeddable FPGA Fabric on TSMC 7nm

Embeddable FPGA Fabric on TSMC 7nm
by Tom Simon on 12-14-2018 at 7:00 am

With their current line-up of embeddable and discrete FPGA products, Achronix has made a big impact on their markets. They started with their Speedster FPGA standard products, and then essentially created a brand-new market for embeddable FPGA IP cores. They have just announced a new generation of their Speedcore embeddable… Read More


On-Chip Networks at the Bleeding Edge of ML

On-Chip Networks at the Bleeding Edge of ML
by Bernard Murphy on 11-29-2018 at 7:00 am

I wrote a while back about some of the more exotic architectures for machine learning (ML), especially for neural net (NN) training in the data center but also in some edge applications. In less hairy applications, we’re used to seeing CPU-based NNs at the low end, GPUs most commonly (and most widely known) in data centers as the workhorse… Read More


Achronix Assists Academics

Achronix Assists Academics
by Tom Simon on 11-28-2018 at 7:00 am

In every semiconductor related field, innovation is the name of the game. Academic, non-profit and government research has been a consistent source of innovation. Look back at the US space program, basic science research and even military programs to see where much of the foundation of our current technological age came from.… Read More


Making AI Silicon Smart with PVT Monitoring

Making AI Silicon Smart with PVT Monitoring
by Tom Simon on 11-26-2018 at 7:00 am

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


Eta Compute Receives Two Awards from ARM at TechCon

Eta Compute Receives Two Awards from ARM at TechCon
by Tom Simon on 11-19-2018 at 7:00 am

Many startups set out with the goal of accomplishing a technical feat that was previously considered impossible. Quite frankly most do not succeed. Yet, occasionally a company comes along that succeeds with a game changing breakthrough. ETA Compute has done just this. Yet, even more impressively, this 3-year-old company has… Read More


NXP Strengthens Security, Broadens ML Application at the Edge

NXP Strengthens Security, Broadens ML Application at the Edge
by Bernard Murphy on 11-15-2018 at 7:00 am

Security and machine learning (ML) are among the hottest areas in tech, especially for the IoT. The need for higher security is, or should be, blindingly obvious at this point. We struggle to fend off daily attacks even in our mainstream compute and networking environment. How defenseless will we be when we have billions of devices… Read More


Architecture for Machine Learning Applications at the Edge

Architecture for Machine Learning Applications at the Edge
by Tom Dillinger on 10-31-2018 at 2:01 pm

Machine learning applications in data centers (or “the cloud”) have pervasively changed our environment. Advances in speech recognition and natural language understanding have enabled personal assistants to augment our daily lifestyle. Image classification and object recognition techniques enrich our social media experience,… Read More