Results 171 to 180 of about 9,109,748 (351)

PULP-NN: A Computing Library for Quantized Neural Network inference at the edge on RISC-V Based Parallel Ultra Low Power Clusters [PDF]

, 2019
Angelo Garofalo, Manuele Rusci, Francesco Conti, Davide Rossi, Luca Benini   +4 more
openalex   +1 more source

Machine Learning for Organic Fluorescent Materials

Aggregate, EarlyView.
Organic fluorescent materials (OFMs) have demonstrated significant potential in diverse applications. Conventional approaches for studying OFMs face significant limitations in fluorescence spectroscopy and computational methods. Machine learning (ML) has revolutionized materials chemistry, offering superior predictive accuracy and efficiency over ...
Jiamin Zhong, Wei Zhu, Shoutao Shen, Nan Zhou, Meiyang Xi, Kui Du, Dong Wang, Ben Zhong Tang   +7 more
wiley   +1 more source

Confidential Computing on RISC-V

Getting confidential computing right is a tough challenge. Other architectures already tried in the past to introduce mechanisms for providing confidentiality guarantees, and in many cases failed. On RISC-V the Confidential Computing SIG, under the Security HC, is working on two specifications for providing confidentiality guarantees for VMs/TEEs and ...
openaire   +2 more sources

Virtualization extension to a RISC-V processor

, 2021
Este trabajo consiste en implementar la especificación del hypervisor de la ISA RISC-V en una CPU ya existente. Esto incluye la adición de nuevos registros a la CPU, incluidos los virtuales, la modificación de la gestión de interrupciones y excepciones, la implementación de nuevas instrucciones y el diseño de un mecanismo de traducción de direcciones ...
openaire   +1 more source

Epileptic Seizure Detection on an Ultra-Low-Power Embedded RISC-V Processor Using a Convolutional Neural Network. [PDF]

Biosensors (Basel), 2021
Bahr A, Schneider M, Francis MA, Lehmann HM, Barg I, Buschhoff AS, Wulff P, Strunskus T, Faupel F.   +8 more
europepmc   +1 more source

SHAKTI-MS: a RISC-V processor for memory safety in C [PDF]

, 2019
Sourav Das, R. Harikrishnan Unnithan, Arjun Menon, Chester Rebeiro, V. Kamakoti   +4 more
openalex   +1 more source

Machine Learning‐Assisted Infectious Disease Detection in Low‐Income Areas: Toward Rapid Triage of Dengue and Zika Virus Using Open‐Source Hardware

Advanced Intelligent Discovery, EarlyView.
This study introduces an affordable machine learning platform for simultaneous dengue and zika detection using fluorine‐doped tin oxide thin films modified with gold nanoparticles and DNA aptamers. Designed for low‐cost, hardware‐limited devices (< $25), the model achieves 95.3% accuracy and uses only 9.4 kB of RAM, demonstrating viability for resource‐
Marina Ribeiro Batistuti Sawazaki, Bassam Bachour Junior, Marcelo Mulato, José Ilton de Oliveira Filho   +3 more
wiley   +1 more source

Adding Tightly-Integrated Task Scheduling Acceleration to a RISC-V Multi-core Processor [PDF]

, 2019
Lucas Morais, Vítor Silva, Alfredo Goldman, Carlos Álvarez, Jaume Bosch, Michael Frank, Guido Araújo   +6 more
openalex   +1 more source

A Novel Memory Management for RISC-V Enclaves [PDF]

, 2021
Haonan Li, Weijie Huang, Mingde Ren, Hongyi Lu, Zhenyu Ning, Heming Cui, Fengwei Zhang   +6 more
openalex   +1 more source

Multi‐Diseases Detection with Memristive System on Chip

Advanced Intelligent Systems, EarlyView.
A robust disease detection system, which is capable of the early prevention of acute myocardial infarction and the detection of liver cancer, is implemented on a memristive system‐on‐chip (SoC). A fully integrated SoC is utilized to ensure the system's portability, low latency, high accuracy, and energy efficiency for medical analysis.
Zihan Wang, Daniel W. Yang, Zerui Liu, Evan Yan, Heming Sun, Ning Ge, Miao Hu, Wei Wu   +7 more
wiley   +1 more source