Designing An AI SoC


Susheel Tadikonda, vice president of networking and storage at Synopsys, looks at how to achieve economies of scale in AI chips and where the common elements are across all the different architectures. https://youtu.be/fm0kxnj3DuM » read more

Pushing AI Into The Mainstream


Artificial intelligence is emerging as the driving force behind many advancements in technology, even though the industry has merely scratched the surface of what may be possible. But how deeply AI penetrates different market segments and technologies, and how quickly it pushes into the mainstream, depend on a variety of issues that still must be resolved. In addition to a plethora of techni... » read more

Computer Vision Sees a Bright Future


Computer vision is powering advances in automotive, medical, consumer, and agriculture markets. Because the world of computer vision coupled with machine learning evolves so quickly, teams need a way to design and verify an algorithm while the specifications and requirements evolve without starting over every time there is a change. The only way to successfully develop these systems is to use h... » read more

It’s All About The Data


The entire tech industry has changed in several fundamental ways over the past year due to the massive growth in data. Individually, those changes are significant. Taken together, those changes will have a massive impact on the chip industry for the foreseeable future. The obvious shift is the infusion of AI (and its subcategories, machine learning and deep learning) into different markets. ... » read more

Security, Scaling and Power


If anyone has doubts about the slowdown and increasing irrelevance of Moore's Law, Intel's official unveiling of its advanced packaging strategy should leave little doubt. Inertia has ended and the roadmap is being rewritten. Intel's discussion of advanced packaging is nothing new. The company has been public about its intentions for years, and started dropping hints back when Pat Gelsinger ... » read more

Getting Down To Business On Chiplets


Government agencies, industry groups and individual companies are beginning to rally around various chiplet models, setting the stage for complex chips that are quicker and cheaper to build using standardized interfaces and components. The idea of putting together different modules like LEGOs has been talked about for the better part of a decade. So far, only Marvell has used this concept co... » read more

Making AI Run Faster


The semiconductor industry has woken up to the fact that heterogeneous computing is the way forward and that inferencing will require more than a GPU or a CPU. The numbers being bandied about by the 30 or so companies working on this problem are 100X improvements in performance. But how to get there isn't so simple. It requires four major changes, as well as some other architectural shifts. ... » read more

Betting Big On Discontinuity


Wally Rhines, president and CEO of Mentor, a Siemens Business, sat down with Semiconductor Engineering to talk about the booming chip industry, what's driving it, how long it will last and what changes are ahead in EDA and chip architectures. What follows are excerpts of that conversation. SE: The EDA and semiconductor industries are doing well right now. What's driving that growth? Rhine... » read more

Intel’s Next Move


Gadi Singer, vice president and general manager of Intel's Artificial Intelligence Products Group, sat down with Semiconductor Engineering to talk about Intel's vision for deep learning and why the company is looking well beyond the x86 architecture and one-chip solutions. SE: What's changing on the processor side? Singer: The biggest change is the addition of deep learning and neural ne... » read more

Where ML Works Best


Anirudh Devgan, president of Cadence, sat down with Semiconductor Engineering to discuss machine learning inside and outside of EDA tools and how that will affect the future of chip and system design. What follows are excerpts of that discussion. SE: How do you see the market and use of machine learning shaping up? Devgan: There are three main areas—machine learning inside, machine lear... » read more

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