AI Requires Tailored DRAM Solutions


For over 30 years, DRAM has continuously adapted to the needs of each new wave of hardware spanning PCs, game consoles, mobile phones and cloud servers. Each generation of hardware required DRAM to hit new benchmarks in bandwidth, latency, power or capacity. Looking ahead, the 2020s will be the decade of artificial intelligence/machine learning (AI/ML) touching every industry and applicatio... » read more

AI Roadmap: A human-centric approach to AI in aviation


Source: EASA European Union Aviation Safety Agency February 2020 "EASA published its Artificial Intelligence Roadmap 1.0 which establishes the Agency’s initial vision on the safety and ethical dimensions of development of AI in the aviation domain. The AI Roadmap 1.0 is to be viewed as a starting point, intended to serve as a basis for discussion with the Agency’s stakeholders. It... » read more

Bigger, Faster, More Diverse And Expensive


Aart de Geus, chairman and co-CEO of Synopsys, sat down with Semiconductor Engineering to talk about the race toward AI everywhere, how splintering markets are affecting design, and why software is now such a critical component of hardware development. SE: We're seeing big advances in compute performance due to advanced packaging and heterogeneous architectures. Is that sustainable? de Ge... » read more

Defining And Improving AI Performance


Many companies are developing AI chips, both for training and for inference. Although getting the required functionality is important, many solutions will be judged by their performance characteristics. Performance can be measured in different ways, such as number of inferences per second or per watt. These figures are dependent on a lot of factors, not just the hardware architecture. The optim... » read more

Speeding Up 3D Design


2.5D and 3D designs have garnered a lot of attention recently, but when should these solutions be considered and what are the dangers associated with them? Each new packaging option trades off one set of constraints and problems for a different set, and in some cases the gains may not be worth it. For other applications, they have no choice. The tooling in place today makes it possible to de... » read more

Multiphysics Simulations for AI Silicon to System Success


Achieving power efficiency, power integrity, signal integrity, thermal integrity and reliability is paramount for enabling product success by overcoming the challenges of size and complexity in AI hardware and optimizing the same for rapidly evolving AI software. ANSYS’ comprehensive chip, package and system solutions empower AI hardware designers by breaking down design margins and siloed de... » read more

What’s Powering Artificial Intelligence?


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

Nvidia’s Top Technologists Discuss The Future Of GPUs


Semiconductor Engineering sat down to discuss the role of the GPU in artificial intelligence, autonomous and assisted driving, advanced packaging and heterogeneous architectures with Bill Dally, Nvidia’s chief scientist, and Jonah Alben, senior vice president of Nvidia’s GPU engineering, at IEEE’s Hot Chips 2019 conference. What follows are excerpts of that conversation. SE: There are ... » read more

Autonomous Vehicles Are Reshaping The Tech World


The effort to build cars that can drive themselves is reshaping the automotive industry and its supply chain, impacting everything from who defines safety to how to ensure quality and reliability. Automakers, which hardly knew the names of their silicon suppliers a couple of years ago, are now banding together in small groups to share the costs and solve technical challenges that are well be... » read more

July’19 Startup Funding


During the month of July, 21 technology startups took in mega-rounds of $100 million or more. Those companies together received more than $7.5 billion. On the other end of the financing spectrum, dozens of startups got seed funding or a Series A round. The dollar amounts were much smaller. Still, they are the beating heart of entrepreneurship around the world. It also was a month when som... » read more

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