tag: University of Southern California

Roadmap To Neuromorphic Computing (Collaboration of 27 Universities/Companies)
By Technical Paper Link - 09 Jul, 2024 - Comments: 0

A technical paper titled “Roadmap to Neuromorphic Computing with Emerging Technologies” was published by researchers at University College London, Politecnico di Milano, Purdue University, ETH Zurich and numerous other institutions. Summary: "The roadmap is organized into several thematic sections, outlining current computing challenges, discussing the neuromorphic computing approach, ana... » read more

Research Bits: May 28
By Jesse Allen - 28 May, 2024 - Comments: 0

Nanofluidic memristive neural networks Engineers from EPFL developed a functional nanofluidic memristive device that relies on ions, rather than electrons and holes, to compute and store data. “Memristors have already been used to build electronic neural networks, but our goal is to build a nanofluidic neural network that takes advantage of changes in ion concentrations, similar to living... » read more

Chip Industry Technical Paper Roundup: Mar. 11
By Liz Allan - 11 Mar, 2024 - Comments: 0

New technical papers added to Semiconductor Engineering’s library this week. [table id=205 /] More ReadingTechnical Paper Library home » read more

A Hypermultiplexed Integrated Tensor Optical Processor (USC, MIT et al.)
By Technical Paper Link - 05 Mar, 2024 - Comments: 0

A technical paper titled “Hypermultiplexed Integrated Tensor Optical Processor” was published by researchers at the University of Southern California, Massachusetts Institute of Technology (MIT), City University of Hong Kong, and NTT Research. Abstract: "The escalating data volume and complexity resulting from the rapid expansion of artificial intelligence (AI), internet of things (IoT) a... » read more

A Survey Of Recent Advances In Spiking Neural Networks From Algorithms To HW Acceleration
By Technical Paper Link - 13 Dec, 2023 - Comments: 0

A technical paper titled “Recent Advances in Scalable Energy-Efficient and Trustworthy Spiking Neural networks: from Algorithms to Technology” was published by researchers at Intel Labs, University of California Santa Cruz, University of Wisconsin-Madison, and University of Southern California. Abstract: "Neuromorphic computing and, in particular, spiking neural networks (SNNs) have becom... » read more

Technical Paper Roundup: Sept 11
By Liz Allan - 11 Sep, 2023 - Comments: 0

New technical papers added to Semiconductor Engineering’s library this week. [table id=136 /] (more…) » read more

The Utility Of Shallow Dynamic Circuits For Long-Range Entanglement On Large-Scale Quantum Devices
By Technical Paper Link - 06 Sep, 2023 - Comments: 0

A technical paper titled “Efficient Long-Range Entanglement using Dynamic Circuits” was published by researchers at IBM Research, IBM T.J. Watson Research Center, University of Southern California, MIT-IBM Watson AI Lab, and IBM Quantum. Abstract: "Quantum simulation traditionally relies on unitary dynamics, inherently imposing efficiency constraints on the generation of intricate entangl... » read more

Week In Review: Auto, Security, Pervasive Computing
By Linda Christensen - 19 May, 2023 - Comments: 0

Former Apple engineer Weibao Wang was indicted for stealing Apple’s autonomous vehicle hardware and software IP and giving the information to Chinese competitors. Among other items, authorities said they found source code for the project on the engineer’s personal laptop, which was seized at his home. Wang fled to China the same day a search warrant was executed. This is one of five cases b... » read more

Week In Review: Design, Low Power
By Jesse Allen - 12 May, 2023 - Comments: 0

Synopsys acquired Silicon Frontline Technology, a provider of an electrical layout verification solution for mixed-signal and analog designs, large-scale power semiconductor devices, and electrostatic discharge protection networks. "This acquisition enables Synopsys to extend the capabilities of our design analysis portfolio and help build out a system-level electrical analysis platform. We als... » read more

Week In Review: Design, Low Power
By Jesse Allen - 07 Apr, 2023 - Comments: 0

MLCommons debuted the latest results for the MLPerf Inference v3.0 and Mobile v3.0 benchmark suites, which measure the performance and power-efficiency of applying a trained machine learning model to new data in data center, edge, and mobile use cases. Overall, MLCommons said the results showed both power efficiency improvements and significant gains in performance in some benchmark tests. Seve... » read more

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