tag: Rice University

Research Bits: Sept. 20
By Jesse Allen - 20 Sep, 2022 - Comments: 0

Multi-mode memristors Researchers from ETH Zurich, the University of Zurich, and Empa built a new memristor that can operate in multiple modes and could potentially be used to mimic neurons in more applications. “There are different operation modes for memristors, and it is advantageous to be able to use all these modes depending on an artificial neural network’s architecture,” said R... » read more

Week In Review: Manufacturing, Test
By Mark LaPedus - 18 Mar, 2022 - Comments: 0

Chipmakers, OEMs Intel continues to build more fabs. First, the company announced fabs in Arizona and then Ohio. Now, Intel plans to invest up to €80 billion in the European Union over the next decade. As part of the effort, Intel plans to build two semiconductor fabs in Magdeburg, Germany. Construction is expected to begin in the first half of 2023 and production planned to come online in 2... » read more

Power/Performance Bits: Jan. 25
By Jesse Allen - 25 Jan, 2022 - Comments: 0

Nanoscale 3D optics Researchers at Rice University and University of Houston are using 3D printing to build nanostructures of silica for micro-scale electronic, mechanical, and photonic devices. “It’s very tough to make complicated, three-dimensional geometries with traditional photolithography techniques,” said Jun Lou, a professor of materials science and nanoengineering at Rice. �... » read more

Power/Performance Bits: April 5
By Jesse Allen - 05 Apr, 2021 - Comments: 0

Wafer-scale graphene In an attempt to make graphene more useful for photonic devices, researchers from CNIT, Istituto Italiano di Tecnologia (IIT), Tecip Institute, University of Cambridge, and Graphene Flagship Associated Member and spin-off CamGraphIC developed a wafer-scale graphene fabrication technology that uses predetermined graphene single-crystal templates, allowing for integration in... » read more

Power/Performance Bits: Aug. 25
By Jesse Allen - 25 Aug, 2020 - Comments: 0

AI architecture optimization Researchers at Rice University, Stanford University, University of California Santa Barbara, and Texas A&M University proposed two complementary methods for optimizing data-centric processing. The first, called TIMELY, is an architecture developed for “processing-in-memory” (PIM). A promising PIM platform is resistive random access memory, or ReRAM. Whil... » read more

Manufacturing Bits: May 5
By Mark LaPedus - 05 May, 2020 - Comments: 0

Spiking neural network radar chip Imec has developed what the R&D organization says is the world’s first chip that processes radar signals using a spiking recurrent neural network. Initially, the chip from Imec is designed for low-power, anti-collision radar systems in drones. Neural networks are used in the field of machine learning. A subset of AI, machine learning utilizes a neu... » read more

Power/Performance Bits: March 24
By Jesse Allen - 24 Mar, 2020 - Comments: 0

Backscatter Wi-Fi radio Engineers at the University of California San Diego developed an ultra-low power Wi-Fi radio they say could enable portable IoT devices. Using 5,000 times less power than standard Wi-Fi radios, the device consumes 28 microwatts while transmitting data at a rate of 2 megabits per second over a range of up to 21 meters. "You can connect your phone, your smart devices, ... » read more

Power/Performance Bits: Feb. 10
By Jesse Allen - 10 Feb, 2020 - Comments: 0

Balancing battery capacity and stability Researchers at Rice University are working to develop batteries that are better geared toward electric cars and more robust off-grid energy storage by digging into why lithium gets trapped in batteries, thus limiting the number of times it can be charged and discharged at full power. The team found that by not maxing out a battery's storage capacity,... » read more

Power/Performance Bits: Dec. 3
By Jesse Allen - 03 Dec, 2019 - Comments: 0

Waking up IoT devices Researchers at UC San Diego developed an ultra-low power wake-up receiver chip that aims to reduce the power consumption of sensors, wearables, and Internet of Things devices that only need to communicate information periodically. "The problem now is that these devices do not know exactly when to synchronize with the network, so they periodically wake up to do this eve... » read more

Manufacturing Bits: Nov. 19
By Mark LaPedus - 19 Nov, 2019 - Comments: 0

World’s lightest foam Lawrence Livermore National Laboratory (LLNL) has developed what researchers say is the world’s lightest gold foam. LLNL has devised gold aerogel foam. The foam is light enough where it could be carried on the back of tiny insects. Applications for the technology include electronics, catalysis, sensors and energy conversion and storage. An aerogel is based on a ... » read more

← Older posts Newer posts →

  • Sponsors

About

Navigation

Connect With Us

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