Results 101 to 104 of about 104 (104)

Harnessing Nonidealities in Analog In‐Memory Computing Circuits: A Physical Modeling Approach for Neuromorphic Systems

open access: yesAdvanced Intelligent Systems, EarlyView.
This work harnesses nonidealities in analog in‐memory computing (IMC) by training physical neural networks modeled with ordinary differential equations. A differentiable spike‐time discretization accelerates training by 20× and reduces memory usage by 100×, enabling large IMC‐equivalent models to learn the CIFAR‐10 dataset.
Yusuke Sakemi   +5 more
wiley   +1 more source

Speech Recognition with Cochlea‐Inspired In‐Sensor Computing

open access: yesAdvanced Intelligent Systems, EarlyView.
Traditional speech recognition methods rely on software‐based feature extraction that introduces latency and high energy costs, making them unsuitable for low‐power devices. A proof‐of‐concept demonstration is provided of a bioinspired tonotopic sensor for speech recognition that mimics the human cochlea, using a spiral‐shaped elastic metamaterial. The
Paolo H. Beoletto   +4 more
wiley   +1 more source

Impact of Donor Type on Outcomes After Allogeneic Hematopoietic Cell Transplantation in Myelofibrosis: A Study on Behalf of the Chronic Malignancies Working Party of the EBMT

open access: yesAmerican Journal of Hematology, EarlyView.
ABSTRACT Selecting the optimal donor is crucial for optimizing results of allogeneic hematopoietic cell transplantation (allo‐HCT). We analyzed outcomes based on donor type in 2809 myelofibrosis (MF) patients undergoing first allo‐HCT between 2015 and 2021 at EBMT centers.
Juan Carlos Hernández‐Boluda   +24 more
wiley   +1 more source

Risk of Relapse Post Reduced Intensity Conditioning Allogeneic Stem Cell Transplant in Patients With High‐Risk Myeloid Neoplasms Based on GvHD Prophylaxis: PTCy Vs. TAC/MTX

open access: yes
American Journal of Hematology, EarlyView.
Khalil Hassan   +13 more
wiley   +1 more source

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