Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Shikhar Tuli"'
Autor:
Shikhar Tuli, Niraj K. Jha
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-14 (2022)
Abstract The edge computing paradigm has recently drawn significant attention from industry and academia. Due to the advantages in quality-of-service metrics, namely, latency, bandwidth, energy efficiency, privacy, and security, deploying artificial
Externí odkaz:
https://doaj.org/article/962579c5307d41969eac9843abcc53d2
Publikováno v:
Journal of Artificial Intelligence Research. 77:39-70
The existence of a plethora of language models makes the problem of selecting the best one for a custom task challenging. Most state-of-the-art methods leverage transformer-based models (e.g., BERT) or their variants. Training such models and explori
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::270fd696bf58d88772df5b0c21bf3938
https://doi.org/10.1613/jair.1.13942
https://doi.org/10.1613/jair.1.13942
Publikováno v:
ACM Transactions on Embedded Computing Systems. 22:1-30
Recently, automated co-design of machine learning (ML) models and accelerator architectures has attracted significant attention from both the industry and academia. However, most co-design frameworks either explore a limited search space or employ su
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f7e0e6d41287162beef9054c85b794a1
https://doi.org/10.1145/3575798
https://doi.org/10.1145/3575798
Autor:
Shikhar Tuli, Niraj K. Jha
Self-attention-based transformer models have achieved tremendous success in the domain of natural language processing. Despite their efficacy, accelerating the transformer is challenging due to its quadratic computational complexity and large activat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::51b9b10d6311010606192b3a1106a873
http://arxiv.org/abs/2302.14705
http://arxiv.org/abs/2302.14705
Publikováno v:
Biomedical Research and Clinical Reviews. 1:01-30
We report the development of a Weibull based Long-Short-Term-Memory approach (W-LSTM) for the prediction of COVID-19 disease. The W-LSTM model developed in this study, performs better in terms of MSE, R2 and MAPE, as compared to the previously publis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2600ed55aabd4280b49aa1f0128885f4
https://doi.org/10.31579/2692-9406/014
https://doi.org/10.31579/2692-9406/014
Autor:
Shikhar Tuli, Debanjan Bhowmik
Publikováno v:
ICONS
Spiking Neural Network (SNN) is of special interest among the various NN algorithms. While the SNN has been trained before using the biologically plausible Spike Time Dependent Plasticity (STDP) rule on conventional computers and specialized digital
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::74421a28e50ffe0a356a63d107674164
https://doi.org/10.1145/3407197.3407615
https://doi.org/10.1145/3407197.3407615
Publikováno v:
2020 25th Asia and South Pacific Design Automation Conference (ASP-DAC)
ASP-DAC
ASP-DAC
The growing need for connected, smart and energy efficient devices requires them to provide both ultra-low standby power and relatively high computing capabilities when awoken. In this context, emerging resistive memory technologies (RRAM) appear as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::59a46d1c693cc762f34b4ef9a3424322
In this article, we present a detailed analysis of the dependence of hot-carrier (HC) induced damage on the device design parameters in silicon-on-insulator (SOI) gate-all-around (GAA) nanowire (NW) n-field-effect transistors (FETs). Particularly, th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b66d5d4fb4381185e39f19ab7326a5b1
https://hdl.handle.net/20.500.14017/41c884ed-e832-4680-8941-ccfe96523af1
https://hdl.handle.net/20.500.14017/41c884ed-e832-4680-8941-ccfe96523af1
Autor:
Shreshth Tuli, Shikhar Tuli
Publikováno v:
ISCAS
Recently, the Edge Computing paradigm has gained significant popularity both in industry and academia. Researchers now increasingly target to improve performance and reduce energy consumption of such devices. Some recent efforts focus on using emergi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f10d18e574f67825cff89ab0786eccbf
Publikováno v:
CloudCom
Recently Edge Computing paradigm has gained significant popularity both in industry and academia. With its increased usage in real-life scenarios, security, privacy and integrity of data in such environments have become critical. Malicious deletion o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1884a8b17a4573b65ab41b00c0586c7a
https://doi.org/10.1109/cloudcom.2019.00037
https://doi.org/10.1109/cloudcom.2019.00037