tag: AI

EDA Revenue Up 6.6% For Q2
By Ann Steffora 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

Reducing Software Power
By Brian Bailey - 12 Sep, 2019 - Comments: 0

With the slowdown of Moore's Law, every decision made in the past must be re-examined to get more performance or lower power for a given function. So far, software has remained relatively unaffected, but it could be an untapped area for optimization and enable significant power reduction. The general consensus is that new applications such as artificial intelligence and machine learning, whe... » read more

What’s Powering Artificial Intelligence?
By Arm - 11 Sep, 2019 - Comments: 0

While artificial intelligence (AI) and machine learning (ML) applications soar in popularity, many organizations are questioning where ML workloads should be performed. Should they be done on a central processor (CPU), a graphics processor (GPU), or a neural processor (NPU)? The choice most teams are making today will surprise you. To scale artificial intelligence (AI) and machine learning (... » read more

The Critical But Less Obvious Risks In AI
By Ed Sperling - 10 Sep, 2019 - Comments: 0

AI has been the subject of intense debate since it was first introduced back in the mid-1950s, but the real threat is a lot more mundane and potentially even more serious than the fear-inducing picture painted by its critics. Replacing jobs with technology has been a controversial subject for more than a century. AI is a relative newcomer in that debate. While the term "artificial intelligen... » read more

How Hardware Can Bias AI Data
By Ed Sperling - 10 Sep, 2019 - Comments: 1

Clean data is essential to good results in AI and machine learning, but data can become biased and less accurate at multiple stages in its lifetime—from moment it is generated all the way through to when it is processed—and it can happen in ways that are not always obvious and often difficult to discern. Blatant data corruption produces erroneous results that are relatively easy to ident... » read more

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