tag: UCSD

AKER: A Design and Verification Framework for Safe and Secure SoC Access Control
By Technical Paper Link - 12 Nov, 2021 - Comments: 0

Abstract: "Modern systems on a chip (SoCs) utilize heterogeneous architectures where multiple IP cores have concurrent access to on-chip shared resources. In security-critical applications, IP cores have different privilege levels for accessing shared resources, which must be regulated by an access control system. AKER is a design and verification framework for SoC access control. AKER builds ... » read more

Power/Performance Bits: Sept. 21
By Jesse Allen - 21 Sep, 2021 - Comments: 0

Catching switches in action Researchers from SLAC National Accelerator Laboratory, Stanford University, Hewlett Packard Labs, Penn State University, and Purdue University observed atoms moving inside an electronic switch as it turns on and off, revealing a state they suspect could lead to faster, more energy-efficient devices. "This research is a breakthrough in ultrafast technology and sci... » read more

HyperRec: Efficient Recommender Systems with Hyperdimensional Computing
By Technical Paper Link - 12 May, 2021 - Comments: 0

A group of researchers are taking a different approach to AI. The University of California at San Diego, the University of California at Irvine, San Diego State University and DGIST recently presented a paper on a new hardware algorithm based on hyperdimensional (HD) computing, which is a brain-inspired computing model. The new algorithm, called HyperRec, uses data that is modeled with bina... » read more

Recent Advances in Thermal Metamaterials and Their Future Applications for Electronics Packaging
By Technical Paper Link - 31 Mar, 2021 - Comments: 0

Abstract: "Thermal metamaterials exhibit thermal properties that do not exist in nature but can be rationally designed to offer unique capabilities of controlling heat transfer. Recent advances have demonstrated successful manipulation of conductive heat transfer and led to novel heat guiding structures such as thermal cloaks, concentrators, etc. These advances imply new opportunities to gui... » read more

Learning properties of ordered and disordered materials from multi-fidelity data
By Technical Paper Link - 14 Jan, 2021 - Comments: 0

Source: Chen, C., Zuo, Y., Ye, W. et al. Learning properties of ordered and disordered materials from multi-fidelity data. Nat Comput Sci 1, 46–53 (2021). https://doi.org/10.1038/s43588-020-00002-x Abstract: "Predicting the properties of a material from the arrangement of its atoms is a fundamental goal in materials science. While machine learning has emerged in recent years as a n... » read more

System Bits: Sept. 3
By Jeff Dorsch - 03 Sep, 2019 - Comments: 0

Microprocessor built with carbon nanotubes Researchers at the Massachusetts Institute of Technology were able to design a microprocessor with carbon nanotubes and fabricate the chip with traditional processes, an advance that could be used in next-generation computers. Work on producing carbon nanotube field-effect transistors has gone on for some time. Fabricated at scale, those CNFETs oft... » read more

System Bits: July 10
By Jeff Dorsch - 10 Jul, 2019 - Comments: 0

Light waves run on silicon-based chips Researchers at the University of Sydney’s Nano Institute and Singapore University of Technology and Design collaborated on manipulating light waves on silicon-based microchips to keep coherent data as it travels thousands of miles on fiber-optic cables. Such waves—whether a tsunami or a photonic packet of information—are known as solitons. The... » read more

Will Open-Source EDA Work?
By Kevin Fogarty - 26 Jun, 2019 - Comments: 4

Open-source EDA is back on the semiconductor industry's agenda, spurred by growing interest in open-source hardware. But whether the industry embraces the idea with enough enthusiasm to make it successful is not clear yet. One of the key sponsors of this effort is the U.S. Defense Advanced Research Projects Agency (DARPA), which is spearheading a number of programs to lower the cost of chip ... » read more

Machine Learning Based Prediction: Health Behavior on BP
By Technical Paper Link - 12 Oct, 2018 - Comments: 0

Source: UC San Diego Jacobs School of Engineering, Po-Han Chiang and Sujit Dey, Mobile Systems Design Lab, Dept. of Electrical and Computer Engineering Using wearable off-the-shelf technology and machine learning, UC San Diego researchers have developed a method to predict an individual’s blood pressure and provide personalized recommendations to lower it based on this data. The researc... » read more

System Bits: July 31
By Ann Mutschler - 31 Jul, 2018 - Comments: 0

Computers that perceive human emotion As part of the growing field of “affective computing,” MIT researchers have developed a machine-learning model that takes computers a step closer to interpreting our emotions as naturally as humans do. Affective computing uses robots and computers to analyze facial expressions, interpret emotions, and respond accordingly. Applications include, for ... » read more

← Older posts Newer posts →

  • Sponsors

About

Navigation

Connect With Us

Copyright ©2013-2025 SMG   |  Terms of Service  |  Privacy Policy