tag: Stanford University

Research Bits: Oct. 18
By Jesse Allen - 18 Oct, 2022 - Comments: 0

Modular AI chip Engineers at the Massachusetts Institute of Technology (MIT), Harvard University, Stanford University, Lawrence Berkeley National Laboratory, Korea Institute of Science and Technology, and Tsinghua University created a modular approach to building stackable, reconfigurable AI chips. The design comprises alternating layers of sensing and processing elements, along with LEDs t... » read more

Can ML Help Verification? Maybe
By Brian Bailey - 22 Sep, 2022 - Comments: 0

Functional verification produces an enormous amount of data that could be used to train a machine learning system, but it's not always clear which data is useful or whether it can help. The challenge with ML is understanding when and where to use it, and how to integrate it with other tools and approaches. With a big enough hammer, it is tempting to call everything a nail, and just throwing ... » read more

Technical Paper Roundup: Aug. 30
By Linda Christensen - 30 Aug, 2022 - Comments: 0

New technical papers added to Semiconductor Engineering’s library this week. [table id=47 /] Semiconductor Engineering is in the process of building this library of research papers. Please send suggestions (via comments section below) for what else you’d like us to incorporate. If you have research papers you are trying to promote, we will review them to see if they are a good fit for... » read more

ML-Based Framework for Automatically Generating Hardware Trojan Benchmarks
By Technical Paper Link - 25 Aug, 2022 - Comments: 0

A new technical paper titled "Automatic Hardware Trojan Insertion using Machine Learning" was published by researchers at University of Florida and Stanford University. Abstract (partial): "In this paper, we present MIMIC, a novel AI-guided framework for automatic Trojan insertion, which can create a large population of valid Trojans for a given design by mimicking the properties of a small... » read more

Research Bits: July 26
By Jesse Allen - 26 Jul, 2022 - Comments: 0

Photonic computing with polarization Researchers at the University of Oxford and University of Exeter developed a method that uses the polarization of light to maximize information storage density and computing performance using nanowires. The researchers note that different polarizations of light do not interact with each other, allowing each to be used as an independent information channe... » read more

Bridging IC Design, Manufacturing, And In-Field Reliability
By Ed Sperling - 18 May, 2022 - Comments: 0

Experts at the Table: Semiconductor Engineering sat down to talk about silicon lifecycle management and how that can potentially glue together design, manufacturing, and devices in the field, with Prashant Goteti, principal engineer at Intel; Rob Aitken, R&D fellow at Arm; Zoe Conroy, principal hardware engineer at Cisco; Subhasish Mitra, professor of electrical engineering and computer sci... » read more

Lots Of Data, But Uncertainty About What To Do With It
By Ed Sperling - 09 May, 2022 - Comments: 0

Experts at the Table: Semiconductor Engineering sat down to talk about silicon lifecycle management in heterogeneous designs, where sensors produce a flood of data, with Prashant Goteti, principal engineer at Intel; Rob Aitken, R&D fellow at Arm; Zoe Conroy, principal hardware engineer at Cisco; Subhasish Mitra, professor of electrical engineering and computer science at Stanford University... » read more

Research Bits: April 26
By Jesse Allen - 26 Apr, 2022 - Comments: 0

Photonic quantum computers Researchers from Stanford University propose a simpler design method for photonic quantum computers. The proposed design uses a laser to manipulate a single atom that, in turn, can modify the state of the photons via a phenomenon called “quantum teleportation.” The atom can be reset and reused for many quantum gates, eliminating the need to build multiple distinc... » read more

Academic Research Paper Round-Up: April 13
By Linda Christensen - 13 Apr, 2022 - Comments: 0

The volume of research into advanced semiconductors is rising and widening. The latest batch includes hybrid power-gating architecture, RRAM devices models, improved FMEA, quantum machine learning, enhanced nonlinear optics, harvesting energy after sundown, direct chemisorption-assisted nanotransfer printing, and more. Topping the list of researchers this week are ETH Zurich, Stanford Unive... » read more

Silicon Lifecycle Management’s Growing Impact On IC Reliability
By Ed Sperling - 12 Apr, 2022 - Comments: 0

Experts at the Table: Semiconductor Engineering sat down to talk about silicon lifecycle management, how it's expanding and changing, and where the problems are, with Prashant Goteti, principal engineer at Intel; Rob Aitken, R&D fellow at Arm; Zoe Conroy, principal hardware engineer at Cisco; Subhasish Mitra, professor of electrical engineering and computer science at Stanford University; a... » read more

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