tag: AI

Memory Subsystems In Edge Inferencing Chips
By Ed Sperling - 23 Sep, 2019 - Comments: 0

Geoff Tate, CEO of Flex Logix, talks about key issues in a memory subsystem in an inferencing chip, how factors like heat can affect performance, and where these kinds of chips will be used. » read more

Week in Review – IoT, Security, Autos
By Jeff Dorsch - 20 Sep, 2019 - Comments: 0

Products/Services Synopsys had a lot of announcements this week! Summer is definitely over. The company released BSIMM10 study, the latest version of the Building Security in Maturity Model, helping organizations plan, execute, mature, and measure their software security initiatives. It also released LucidShape version 2019.09, the latest version of that tool for the design, simulation, and an... » read more

Using Machine Learning In Fabs
By Mark LaPedus - 19 Sep, 2019 - Comments: 1

Amid the shift towards more complex chips at advanced nodes, many chipmakers are exploring or turning to advanced forms of machine learning to help solve some big challenges in IC production. A subset of artificial intelligence (AI), machine learning, uses advanced algorithms in systems to recognize patterns in data as well as to learn and make predictions about the information. In the fab, ... » read more

VC Perspectives On An AI Summer
By Michael Stewart - 19 Sep, 2019 - Comments: 0

It’s been a busy summer for Applied Ventures. Our team has had many interactions in the startup and investing space, and added some new companies to our portfolio. I’ll be sharing highlights of these activities in a series of upcoming blogs, but first I’d like to reflect on current market developments in machine learning and how they are affecting VC investment patterns. Strategic inve... » read more

EDA Revenue Up 6.6% For Q2
By Ann Mutschler - 17 Sep, 2019 - Comments: 0

Highlighted by double digit growth in semiconductor IP and the Asia/Pacific region, EDA industry revenue increased 6.6% for Q2 2019 to $2,472.1 million, compared to $2,318.5 million in Q2 2018, according to the ESD Alliance Market Statistics Service. The four-quarters moving average, which compares the most recent four quarters to the prior four quarters, increased by 6%, which represented a... » read more

In-System Networks Are Front And Center
By Kurt Shuler - 16 Sep, 2019 - Comments: 0

This year’s HotChips conference at Stanford was all about artificial intelligence (AI) and machine learning (ML) and what particularly struck me, naturally because we’re in this business too, was how big a role on-chip networks played in some of the leading talks. NVIDIA talked about their scalable mesh architecture, both on-chip and in-package, meshes connecting processing NN processing el... » read more

The New CXL Standard
By Ed Sperling - 16 Sep, 2019 - Comments: 0

Gary Ruggles, senior staff product marketing manager at Synopsys, digs into the new Compute Express Link standard, why it’s important for high bandwidth in AI/ML applications, where it came from, and how to apply it in current and future designs. » read more

Week in Review – IoT, Security, Autos
By Jeff Dorsch - 13 Sep, 2019 - Comments: 0

Products/Services Arm and Swift Navigation will collaborate on providing technology to developers of autonomous vehicles and connected cars. San Francisco-based Swift Navigation, which offers Global Navigation Satellite System positioning technology for AVs, is teaming with the chip design company to offer Swift’s solutions as an option on Arm-based platforms, the companies say. Swift’s St... » read more

Making Better Use Of Memory In AI
By Ed Sperling - 13 Sep, 2019 - Comments: 0

Steven Woo, Rambus fellow and distinguished inventor, talks about using number formats to extend memory bandwidth, what the impact can be on fractional precision, how modifications of precision can play into that without sacrificing accuracy, and what role stochastic rounding can play. » read more

Breaking Down The AI Memory Wall
By Steven Woo - 12 Sep, 2019 - Comments: 0

Over the past few decades, the semiconductor industry has witnessed the rapid evolution of memory technology as new memories helped to usher in new usage models that characterized each decade. For example, synchronous memory helped drive the personal computer (PC) revolution in the 1990s, and this was quickly followed by specialized graphics memory (GPUs) for game consoles in the 2000s. When sm... » read more

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