tag: George Washington University

Chip Industry Week In Review
By The SE Staff - 13 Sep, 2024 - Comments: 0

Infineon rolled out the world's first 300mm gallium nitride (GaN) wafer, opening the door for high-volume manufacturing of GaN-based power semiconductors. A 300mm wafer contains 2.3 times as many chips per wafer as a 200mm wafer. Fig.1: Infineon's 300mm GaN wafer. Source: Infineon The Semiconductor Industry Association released its 2024 State of the U.S. Semiconductor Industry report th... » read more

Chip Industry’s Technical Paper Roundup: Nov. 1
By Linda Christensen - 01 Nov, 2022 - Comments: 0

New technical papers added to Semiconductor Engineering’s library this week. [table id=61 /] » read more

New Class of Electrically Driven Optical Nonvolatile Memory
By Technical Paper Link - 26 Oct, 2022 - Comments: 0

A new technical paper titled "Electrical Programmable Multi-Level Non-volatile Photonic Random-Access Memory" was published by researchers at George Washington University, Optelligence, MIT, and the University of Central Florida. Researchers demonstrate "a multi-state electrically-programmed low-loss non-volatile photonic memory based on a broadband transparent phase change material (Ge2Sb2S... » read more

Data-driven RRAM device models using Kriging interpolation
By Technical Paper Link - 10 Apr, 2022 - Comments: 0

New technical paper from The George Washington University and NIST with support from DARPA and others. Abstract "A two-tier Kriging interpolation approach is proposed to model jump tables for resistive switches. Originally developed for mining and geostatistics, its locality of the calculation makes this approach particularly powerful for modeling electronic devices with complex behavior la... » read more

Power/Performance Bits: Sept. 8
By Jesse Allen - 08 Sep, 2021 - Comments: 0

Backscatter radios for 5G Researchers at the Georgia Institute of Technology, Nokia Bell Labs, and Heriot-Watt University propose using backscatter radios to support high-throughput communication and 5G-speed Gb/sec data transfer using only a single transistor. “Our breakthrough is being able to communicate over 5G/millimeter-wave (mmWave) frequencies without actually having a full mmWave... » read more

Power/Performance Bits: March 16
By Jesse Allen - 16 Mar, 2021 - Comments: 0

Adaptable neural nets Neural networks go through two phases: training, when weights are set based on a dataset, and inference, when new information is assessed based on those weights. But researchers at MIT, Institute of Science and Technology Austria, and Vienna University of Technology propose a new type of neural network that can learn during inference and adjust its underlying equations to... » read more

Power/Performance Bits: May 19
By Jesse Allen - 19 May, 2020 - Comments: 0

Neuromorphic magnetic nanowires Researchers from the University of Texas at Austin, University of Texas at Dallas, and Sandia National Laboratory propose a neuromorphic computing method using magnetic components. The team says this approach can cut the energy cost of training neural networks. "Right now, the methods for training your neural networks are very energy-intensive," said Jean Ann... » read more

Power/Performance Bits: March 8
By Jesse Allen - 08 Mar, 2016 - Comments: 0

Configurable analog chip Researchers at Georgia Tech built a new configurable computing device, the Field-Programmable Analog Array (FPAA) SoC, that uses analog technology supported by digital components and can be built up to a hundred times smaller while using a thousand times less electrical power than comparable digital floating-gate configurable devices. Professionals familiar with F... » read more

  • Sponsors

About

Navigation

Connect With Us

Copyright ©2013-2024 SMG   |  Terms of Service  |  Privacy Policy