tag: Tohoku University

HBM-based scalable multi-FPGA emulator for Quantum Fourier Transform (QFT)
By Technical Paper Link - 01 Jul, 2022 - Comments: 0

New technical paper titled "A Scalable Emulator for Quantum Fourier Transform Using Multiple-FPGAs With High-Bandwidth-Memory" from researchers at Tohoku University in Japan. Abstract: "Quantum computing is regarded as the future of computing that hopefully provides exponentially large processing power compared to the conventional digital computing. However, current quantum computers do not... » read more

Research Bits: March 29
By Jesse Allen - 29 Mar, 2022 - Comments: 0

Brain-like AI chip Researchers from Purdue University, Santa Clara University, Portland State University, Pennsylvania State University, Argonne National Laboratory, University of Illinois Chicago, Brookhaven National Laboratory, and University of Georgia built a reprogrammable chip that could be used as the basis for brain-like AI hardware. “The brains of living beings can continuously l... » read more

Fabrication of GaN/Diamond Heterointerface and Interfacial Chemical Bonding State for Highly Efficient Device Design
By Technical Paper Link - 10 Jan, 2022 - Comments: 0

Abstract "The direct integration of gallium nitride (GaN) and diamond holds much promise for high-power devices. However, it is a big challenge to grow GaN on diamond due to the large lattice and thermal-expansion coefficient mismatch between GaN and diamond. In this work, the fabrication of a GaN/diamond heterointerface is successfully achieved by a surface activated bonding (SAB) method at r... » read more

Manufacturing Bits: Nov. 8
By Mark LaPedus - 08 Nov, 2021 - Comments: 0

Plasma R&D with quantum computing Rigetti Computing, a developer of quantum computers, has been selected to lead a quantum simulation project for the development of fusion energy. The project was awarded by the Department of Energy (DoE). Under the plan, Rigetti will collaborate with Lawrence Livermore National Laboratory and the University of Southern California on a three-year, $3.1 m... » read more

Chiplet-Based Advanced Packaging Technology from 3D/TSV to FOWLP/FHE
By Technical Paper Link - 27 Aug, 2021 - Comments: 0

T. Fukushima, "Chiplet-Based Advanced Packaging Technology from 3D/TSV to FOWLP/FHE," 2021 Symposium on VLSI Circuits, 2021, pp. 1-2, doi: 10.23919/VLSICircuits52068.2021.9492335. Abstract: "More recently, "chiplets" are expected for further scaling the performance of LSI systems. However, system integration with the chiplets is not a new methodology. The basic concept dates back well over ... » read more

Electrically connected spin-torque oscillators array for 2.4 GHz WiFi band transmission and energy harvesting
By Technical Paper Link - 27 Jul, 2021 - Comments: 0

Researchers at the National University of Singapore and Tohoku University developed a device that uses spin-torque oscillators (STOs) to harvest energy from 2.4GHz Wi-Fi signals and wirelessly power an LED without need for a battery.   Technical Paper Link: Abstract "The mutual synchronization of spin-torque oscillators (STOs) is critical for communication, energy harvesting ... » read more

Power/Performance Bits: July 27
By Jesse Allen - 27 Jul, 2021 - Comments: 0

Amplifying light for lidar Engineers at University of Texas at Austin and University of Virginia developed a light detector that can amplify weak light signals and reduce noise to improve the accuracy of lidar. "Autonomous vehicles send out laser signals that bounce off objects to tell you how far away you are. Not much light comes back, so if your detector is putting out more noise than th... » read more

Power/Performance Bits: May 10
By Jesse Allen - 10 May, 2021 - Comments: 0

Probabilistic bit Researchers at Tohoku University are working on building probabilistic computers by developing a spintronics-based probabilistic bit (p-bit). The researchers utilized magnetic tunnel junctions (MTJs). Most commonly used in MRAM technology, where thermal fluctuation typically poses a threat to the stable storage of information, in this case it was a benefit. The p-bits f... » 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: Feb. 23
By Jesse Allen - 23 Feb, 2021 - Comments: 0

Photonic AI accelerator There are now many processors and accelerators focused on speeding up neural network performance, but researchers at the University of Münster, University of Oxford, Swiss Federal Institute of Technology Lausanne (EPFL), IBM Research Europe, and University of Exeter say AI processing could happen even faster with the use of photonic tensor processors that can handle mu... » read more

← Older posts Newer posts →

  • Sponsors

About

Navigation

Connect With Us

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