tag: CNRS

Quantum: Pairing Cooper Pairs Magnifies The Phase Fluctuations of the Ground State
By Technical Paper Link - 10 Jun, 2022 - Comments: 0

New technical paper titled "Magnifying Quantum Phase Fluctuations with Cooper-Pair Pairing" from researchers at Université PSL, CNRS, Sorbonne Université, Université Paris-Diderot, Inria de Paris, PSL Research University. Abstract "Remarkably, complex assemblies of superconducting wires, electrodes, and Josephson junctions are compactly described by a handful of collective phase degrees ... » read more

Performing Edge Detection With Oscillatory Neural Networks as a Hetero-associative Memory
By Technical Paper Link - 23 May, 2022 - Comments: 0

New research paper titled "Oscillatory Neural Network as Hetero-Associative Memory for Image Edge Detection" from LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier. Abstract "The increasing amount of data to be processed on edge devices, such as cameras, has motivated Artificial Intelligence (AI) integration at the edge. Typical image processing me... » read more

Technical Paper Round-up: May 3
By Linda Christensen - 03 May, 2022 - Comments: 0

New technical papers added to Semiconductor Engineering’s library this week. [table id=24 /] Semiconductor Engineering is in the process of building this library of research papers. Please send suggestions (via comments section below) for what else you’d like us to incorporate. If you have research papers you are trying to promote, we will review them to see if they are a good fit for... » read more

Parallel Circuit Execution & NISQ Computing
By Technical Paper Link - 02 May, 2022 - Comments: 0

Research from LIRMM, University of Montpellier, CNRS. Abstract "Quantum computing is performed on Noisy Intermediate-Scale Quantum (NISQ) hardware in the short term. Only small circuits can be executed reliably on a quantum machine due to the unavoidable noisy quantum operations on NISQ devices, leading to the under-utilization of hardware resources. With the growing demand to access quan... » read more

AI-Based Method to Prune the Design Space of Heterogeneous NoCs
By Technical Paper Link - 02 May, 2022 - Comments: 0

Abstract "Often suffering from under-optimization, Networks-on-Chip (NoCs) heavily impact the efficiency of domain-specific Systems-on-Chip. To cope with this issue, heterogeneous NoCs are promising alternatives. Nevertheless, the design of optimized NoCs satisfying multiple performance objectives is extremely challenging and requires significant expertise. Prior works failed to combine many... » read more

Manufacturing Bits: Feb. 16
By Mark LaPedus - 16 Feb, 2021 - Comments: 0

Hybrid bonding consortium for packaging A*STAR’s Institute of Microelectronics (IME) and several companies have formed a new consortium to propel the development of hybrid bonding technology for chip-packaging applications. The group, called the Chip-to-Wafer (C2W) Hybrid Bonding Consortium, includes A*STAR’s IME organization, Applied Materials, ASM Pacific, Capcon, HD MicroSystems, ONT... » read more

Week In Review: Manufacturing, Test
By Mark LaPedus - 12 Feb, 2021 - Comments: 0

Chipmakers The U.S. Semiconductor Industry Association (SIA) and several chip executives have sent a joint letter to President Biden, urging the administration to include substantial funding for semiconductor manufacturing and research in the U.S. As reported, the share of global semiconductor manufacturing capacity in the U.S. has decreased from 37% in 1990 to 12% today. “Semiconductors pow... » read more

Manufacturing Bits: May 31
By Mark LaPedus - 31 May, 2016 - Comments: 0

Superconducting magnets The National High Magnetic Field Laboratory (MagLab) has broken another world’s magnet record. This time, MagLab broke a record for a high-temperature superconducting (HTS) coil operating inside a high-field resistive magnet. With the technology, the agency achieved a magnetic field of 40.2 teslas. The previous record was 35.4 teslas. Tesla, or T, is the measuremen... » read more

Manufacturing Bits: March 29
By Mark LaPedus - 29 Mar, 2016 - Comments: 0

Brain-inspired computing Lawrence Livermore National Laboratory (LLNL) has purchased a brain-inspired supercomputing platform for deep learning developed by IBM Research. Based on a neurosynaptic computer chip called IBM TrueNorth, the scalable platform will process the equivalent of 16 million neurons and 4 billion synapses. It will consume the energy equivalent of a tablet computer. ... » read more

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