Results 81 to 90 of about 1,063,217 (316)

Towards practical in-network computing

In-network computing is an emerging computing paradigm that promises significant potentials in continuing to accelerate datacenter applications in the post-Dennard scaling era.
Ji, Tao (Ph. D. in computer science)
core   +1 more source

Distributed In-Memory Computing on Binary RRAM Crossbar

, 2017
The recently emerging resistive random-access memory (RRAM) can provide nonvolatile memory storage but also intrinsic computing for matrix-vector multiplication, which is ideal for the low-power and high-throughput data analytics accelerator performed in
Hao Yu, Huang, Hantao, Zichuan Liu, Joshi, Rajiv V., Rajiv V. Joshi, Liu, Zichuan, Hantao Huang, Ni, Leibin, Yu, Hao, Leibin Ni   +9 more
core   +1 more source

CLOUD COMPUTING

, 2020
Cloud Computing is a new technology that helps us to use the Cloud for compliance our computation needs. Cloud refers to a scalable network of computers that work together like Internet. An important element in Cloud Computing is that we shift processing,
Bhasha, Shaik Jan, Kumar, T.Durga Pavan, Singh, Harinder   +2 more
core   +1 more source

The role of miR‐335‐5p in the redifferentiation of BRAF p.V600E thyroid cancers

Molecular Oncology, EarlyView.
The BRAF p.V600E mutation promotes thyroid cancer dedifferentiation and radioiodine resistance. Using a network approach, we identified miR‐335‐5p as a key regulator of BRAF‐mutated thyroid tumors. Restoring miR‐335‐5p increased thyroid‐specific gene expression and iodine uptake in cells and organoids.
Valeria Pecce, Simone Bini, Marialuisa Sponziello, Giorgio Grani, Giulia Fiscon, Paola Paci, Lorenzo Farina, Rosa Falcone, Valentina Maggisano, Sebastiano Filetti, Cosimo Durante, Antonella Verrienti   +11 more
wiley   +1 more source

A high-performance reversible data hiding scheme based on vector projection algorithm

Journal of King Saud University: Computer and Information Sciences
Embedding capacity and image quality are two critical performance metrics for reversible data hiding schemes. In this paper, we propose a high-performance reversible data hiding scheme that achieves substantial improvements in these aspects. In addition,
Xiaoyu Wang, Qing Hu, Bin Ma, Chunpeng Wang, Bing Han, Qi Li   +5 more
doaj   +1 more source

Revealing gene regulation-based neural network computing in bacteria. [PDF]

Biophys Rep (N Y), 2023
Somathilaka SS, Balasubramaniam S, Martins DP, Li X.   +3 more
europepmc   +1 more source

Towards in-network machine learning on programmable network devices

Machine learning (ML) services have entered various aspects of our daily lives and industrial production, with most of these services being delivered over networks.
Zheng, Changgang
core   +1 more source

Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers

Molecular Oncology, EarlyView.
This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel, Peyman Zarrineh, Nathnael T. Tuffa, Jigar H. Sheth, Sumitra Mohan, Mudassar Iqbal, Sankari Nagarajan   +6 more
wiley   +1 more source

Dynamic Partial Computation Offloading for the Metaverse in In-Network Computing

IEEE Access
The computing in the network (COIN) paradigm is a promising solution that leverages unused network resources to perform tasks to meet computation-demanding applications, such as the metaverse.
Ibrahim Aliyu, Seungmin Oh, Namseok Ko, Tai-Won Um, Jinsul Kim   +4 more
doaj   +1 more source

Generative AI for brain image computing and brain network computing: a review. [PDF]

Front Neurosci, 2023
Gong C, Jing C, Chen X, Pun CM, Huang G, Saha A, Nieuwoudt M, Li HX, Hu Y, Wang S.   +9 more
europepmc   +1 more source