Week In Review: Auto, Security, Pervasive Computing


Automotive, mobility The head of Tesla’s Autopilot division — Andrej Karpathy — resigned from the company after Tesla laid off 200 people in its Autopilot division and the U.S. National Highway Transportation Safety Administration broadened its safety investigation of Tesla’s Autopilot. The NHTSA last month broadened its August 2021 investigation, which was looking at why Tesla cars on... » read more

Customization, Heterogenous Integration, And Brute Force Verification


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

Blog Review: July 13


Siemens' John Sturtevant finds that the patterning requirements of next generation lithographic processes have pushed lithographers to explore the advantages of curvilinear masks, and notes some of the tools coming along to help. Cadence's Paul McLellan learns from Kyle Chen of Microsoft and Suomin Cui of Cadence how deep learning and electromagnetic solvers can be used to optimize high-dens... » read more

Improving Yield With Machine Learning


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

Finding Frameworks For End-To-End Analytics


End-to-end analytics can improve yield and ROI on tool purchases, but reaping those benefits will require common data formats, die traceability, an appropriate level of data granularity — and a determination of who owns what data. New standards, guidelines, and consortium efforts are being developed to remove these barriers to data sharing for analytics purposes. But the amount of work req... » read more

Leverage Functional Interfaces For High-Speed Test Access During All Phases Of The Silicon Lifecycle


Chip testing used to be straightforward. The development team used fault simulation to select a subset of the functional tests that could detect most possible manufacturing faults. These were translated to test patterns that ran on automated test equipment (ATE) to screen out defective dies at wafer test and bad packaged chips in final test. Lots of new technology was introduced over time, incl... » read more

Maximize Memory Security Of HPC SoCs With Efficient Crypto IP


Data that is created and transferred between billions of devices and the cloud is growing exponentially. More and more devices are entering the market, the cloud is expanding to the network edge and new applications are emerging. These factors are drivers for technological advances in high-performance computing (HPC), reshaping system-on-chip (SoC) designs to address the need for more accelerat... » read more

Security Risks Widen With Commercial Chiplets


The commercialization of chiplets is expected to increase the number and breadth of attack surfaces in electronic systems, making it harder to keep track of all the hardened IP jammed into a package and to verify its authenticity and robustness against hackers. Until now this has been largely a non-issue, because the only companies using chiplets today — AMD, Intel, and Marvell — interna... » read more

Which Fuel Will Drive Next-Generation Autos?


With gasoline prices hitting uncomfortable highs, consumers increasingly are looking toward non-gasoline-powered vehicles. But what ultimately will power those vehicles is far from clear. Inside the cabin and under the hood, these vehicles will be filled with semiconductors. Yet what the energy source is for those semiconductors is the subject of ongoing debate. It could be batteries, hydrog... » read more

AI At The Edge: Optimizing AI Algorithms Without Sacrificing Accuracy


The ultimate measure of success for AI will be how much it increases productivity in our daily lives. However, the industry has huge challenges in evaluating progress. The vast number of AI applications is in constant churn: finding the right algorithm, optimizing the algorithm, and finding the right tools. In addition, complex hardware engineering is rapidly being updated with many different s... » read more

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