tag: AI

Where Are The Autonomous Cars?
By Marie C. Baca - 08 Aug, 2022 - Comments: 0

Are we there yet? Governments, consumers, and engineers alike want to know how close the automotive world is to producing a fully autonomous Level 5 vehicle. While some experts say such vehicles could hit the road in the next few years, they're a shrinking minority. Most forecasts say a truly self-driving car is at least a decade away — and maybe much longer, because it requires disruptive... » read more

Speech Applications Will Enable A New Category Of Edge AI Chips
By Anand Joshi - 04 Aug, 2022 - Comments: 0

Speech recognition has become an increasingly important feature in a wide range of devices. Wakewords such as Alexa or OK Google or Siri have now become a standard feature of wearables, smart-speakers, mobile phones, and even laptops. These devices have already shipped in millions of units and consumers are getting better at utilizing this feature. The wakeword recognition feature is slowly evo... » read more

Scaling, Advanced Packaging, Or Both
By Ed Sperling - 01 Aug, 2022 - Comments: 0

Chipmakers are facing a growing number of challenges and tradeoffs at the leading edge, where the cost of process shrinks is already exorbitant and rising. While it's theoretically possible to scale digital logic to 10 angstroms (1nm) and below, the likelihood of a planar SoC being developed at that nodes appears increasingly unlikely. This is hardly shocking in an industry that has heard pr... » read more

Bespoke Silicon Redefines Custom ASICs
By Ann Mutschler - 28 Jul, 2022 - Comments: 0

Semiconductor Engineering sat down to discuss bespoke silicon and what's driving that customization with Kam Kittrell, vice president of product management in the Digital & Signoff group at Cadence; Rupert Baines, chief marketing officer at Codasip; Kevin McDermott, vice president of marketing at Imperas; Mo Faisal, CEO of Movellus; Ankur Gupta, vice president and general manager of Siemens... » read more

Distilling The Essence Of Four DAC Keynotes
By Brian Bailey - 28 Jul, 2022 - Comments: 0

Chip design and verification are facing a growing number of challenges. How they will be solved — particularly with the addition of machine learning — is a major question for the EDA industry, and it was a common theme among four keynote speakers at this month's Design Automation Conference. DAC has returned as a live event, and this year's keynotes involved the leaders of a systems comp... » read more

Week in Review: Design, Low Power
By Marie C. Baca - 22 Jul, 2022 - Comments: 0

Acquisitions Renesas completed its acquisition of Reality Analytics, which specializes in embedded AI and TinyML solutions for advanced non-visual sensing in automotive, industrial and commercial products. Siemens Digital Industries Software will acquire Zona Technology, which develops aerospace simulation software. Siemens plans to integrate that software into its wXcelerator and Simcenter... » read more

Using AI To Speed Up Edge Computing
By John Koon - 19 Jul, 2022 - Comments: 0

AI is being designed into a growing number of chips and systems at the edge, where it is being used to speed up the processing of massive amounts of data, and to reduce power by partitioning and prioritization. That, in turn, allows systems to act upon that data more rapidly. Processing data at the edge rather than in the cloud provides a number of well-documented benefits. Because the physi... » read more

Customization, Heterogenous Integration, And Brute Force Verification
By Ed Sperling - 14 Jul, 2022 - Comments: 0

Semiconductor Engineering sat down to discuss why new approaches are required for heterogeneous designs, with Bari Biswas, senior vice president for the Silicon Realization Group at Synopsys; John Lee, general manager and vice president of the Ansys Semiconductor business unit; Michael Jackson, corporate vice president for R&D at Cadence; Prashant Varshney, head of product for Microsoft Azu... » read more

What Future Processors Will Look Like
By Ed Sperling - 13 Jul, 2022 - Comments: 0

Mark Papermaster, CTO at AMD, sat down with Semiconductor Engineering to talk about architectural changes that are required as the benefits of scaling decrease, including chiplets, new standards for heterogeneous integration, and different types of memory. What follows are excerpts of that conversation. SE: What does a processor look like in five years? Is it a bunch of chips in a package? I... » read more

Improving Yield With Machine Learning
By Laura Peters - 12 Jul, 2022 - Comments: 0

Machine learning is becoming increasingly valuable in semiconductor manufacturing, where it is being used to improve yield and throughput. This is especially important in process control, where data sets are noisy. Neural networks can identify patterns that exceed human capability, or perform classification faster. Consequently, they are being deployed across a variety of manufacturing proce... » read more

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