Big Challenges In Verifying Cyber-Physical Systems

By Ed Sperling - 25 Feb, 2021 - Comments: 0

Semiconductor Engineering sat down to discuss cyber-physical systems and how to verify them with Jean-Marie Brunet, senior director for the Emulation Division at Siemens EDA; Frank Schirrmeister, senior group director for solution marketing at Cadence; Maurizio Griva, R&D Manager at Reply; and Laurent Maillet-Contoz, system and architect specialist at STMicroelectronics. This discussion was... » read more

Part Average Tests For Auto ICs Not Good Enough

By Anne Meixner - 24 Feb, 2021 - Comments: 0

Part Average Testing (PAT) has long been used in automotive. For some semiconductor technologies it remains viable, while for others it is no longer good enough. Automakers are bracing for chips developed at advanced process nodes with much trepidation. Tight control of their supply chains and a reliance upon mature electronic processes so far have enabled them to increase electronic compone... » read more

What Do Feedback Loops For AI/ML Devices Really Show?

By Ed Sperling - 09 Feb, 2021 - Comments: 0

AI/ML is being designed into an increasing number of chips and systems these days, but predicting how they will behave once they're in the field is, at best, a good guess. Typically, verification, validation, and testing of systems is done before devices reach the market, with an increasing amount of in-field data analysis for systems where reliability is potentially mission- or safety-criti... » read more

Addressing Power Challenges In AI Hardware

By Solaiman Rahim - 04 Feb, 2021 - Comments: 0

Artificial intelligence (AI) accelerators are essential for tackling AI workloads like neural networks. These high-performance parallel computation machines provide the processing efficiency that such high data volumes demand. With AI playing increasingly larger roles in our lives—from consumer devices like smart speakers to industrial applications like automated factories—it’s paramount ... » read more

Edge-Inference Architectures Proliferate

By Bryon Moyer - 04 Feb, 2021 - Comments: 0

First part of two parts. The second part will dive into basic architectural characteristics. The last year has seen a vast array of announcements of new machine-learning (ML) architectures for edge inference. Unburdened by the need to support training, but tasked with low latency, the devices exhibit extremely varied approaches to ML inference. “Architecture is changing both in the comp... » read more

2021 Trends For Data Centers, AI, And More

By Delight Nwangwu - 04 Feb, 2021 - Comments: 0

Previously, we took out our crystal ball and looked at some of the trends, technologies and changes that we expect to be embraced by the auto industry in 2021. Today, we are shining a light on technologies and trends that we predict will have a significant impact on the 5G, data center, AI and software, healthcare, and IIoT markets this year and beyond. For wired and wireless networking eq... » read more

AI And ML Applications Require Advanced Datapath Verification

By Kiran Vittal - 28 Jan, 2021 - Comments: 0

In popular usage, the term “artificial intelligence” (AI) once conjured up images of robot armies subjugating humans or evil computers outsmarting their users, as in '2001: A Space Odyssey.' In recent years, AI has become a part of daily life for much of the planet’s population. People use voice commands to interact with their smartphones, smart speakers and even TV remote controls. Sophi... » read more

Taming Non-Predictable Systems

By Brian Bailey - 28 Jan, 2021 - Comments: 0

How predictable are semiconductor systems? The industry aims to create predictable systems and yet when a carrot is dangled, offering the possibility of faster, cheaper, or some other gain, decision makers invariably decide that some degree of uncertainty is warranted. Understanding uncertainty is at least the first step to making informed decisions, but new tooling is required to assess the im... » read more

Power/Performance Bits: Jan. 26

By Jesse Allen - 26 Jan, 2021 - Comments: 0

Neural networks on MCUs Researchers at MIT are working to bring neural networks to Internet of Things devices. The team's MCUNet is a system that designs compact neural networks for deep learning on microcontrollers with limited memory and processing power. MCUNet is made up of two components. One is TinyEngine, an inference engine that directs resource management. TinyEngine is optimized t... » read more

The Chip Industry’s Next-Gen Roadmap

By Mark LaPedus - 21 Jan, 2021 - Comments: 1

Todd Younkin, the new president and chief executive of the Semiconductor Research Corp. (SRC), sat down with Semiconductor Engineering to talk about engineering careers, R&D trends and what’s ahead for chip technologies over the next decade. What follows are excerpts of that conversation. SE: As a U.S.-based chip consortium, what is SRC's charter? Younkin: The Semiconductor Research... » read more

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Knowledge Centers
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