Zobrazeno 1 - 10
of 168
pro vyhledávání: '"Manjesh Kumar"'
Publikováno v:
Annals of 3D Printed Medicine, Vol 15, Iss , Pp 100159- (2024)
Three-dimensional (3D) bioprinting technology allows the production of porous structures with complex and varied geometries, which facilitates the development of equally dispersed cells and the orderly release of signal components. This is in contras
Externí odkaz:
https://doaj.org/article/ceaf9c7f4cd244158c27d283ca4ffcda
Recent advances in Deep Neural Networks (DNNs) have demonstrated outstanding performance across various domains. However, their large size is a challenge for deployment on resource-constrained devices such as mobile, edge, and IoT platforms. To overc
Externí odkaz:
http://arxiv.org/abs/2410.05338
Deep neural networks (DNNs) have made significant progress in recognizing visual elements and generating descriptive text in image-captioning tasks. However, their improved performance comes from increased computational burden and inference latency.
Externí odkaz:
http://arxiv.org/abs/2410.04433
Pre-trained Language Models (PLMs) exhibit good accuracy and generalization ability across various tasks using self-supervision, but their large size results in high inference latency. Early Exit (EE) strategies handle the issue by allowing the sampl
Externí odkaz:
http://arxiv.org/abs/2410.04424
Autor:
Chaojian Chen, Manjesh Kumar Singh, Katrin Wunderlich, Sean Harvey, Colette J. Whitfield, Zhixuan Zhou, Manfred Wagner, Katharina Landfester, Ingo Lieberwirth, George Fytas, Kurt Kremer, Debashish Mukherji, David Y. W. Ng, Tanja Weil
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-7 (2021)
Synthetic polymer nano-objects with well-defined hierarchical structures are important for a wide range of applications such as nanomaterial synthesis, catalysis, and therapeutics. Here the authors demonstrate the strategy of fabricating controlled h
Externí odkaz:
https://doaj.org/article/436f9248e00b4dfda8b9778b9c687ad1
Pre-trained Language Models (PLMs), like BERT, with self-supervision objectives exhibit remarkable performance and generalization across various tasks. However, they suffer in inference latency due to their large size. To address this issue, side bra
Externí odkaz:
http://arxiv.org/abs/2405.15039
Publikováno v:
Nature Communications, Vol 9, Iss 1, Pp 1-9 (2018)
While zeolites are industrially relevant as molecular sieves and catalysts, their growth mechanisms remain widely debated. Here, Rimer and colleagues probe the crystallization pathway of zeolite LTA with spatiotemporal resolution, identifying a disti
Externí odkaz:
https://doaj.org/article/60caee37d63541dbbbd321e49c88a0c1
The availability of large annotated data can be a critical bottleneck in training machine learning algorithms successfully, especially when applied to diverse domains. Weak supervision offers a promising alternative by accelerating the creation of la
Externí odkaz:
http://arxiv.org/abs/2402.15472
The recent advances in Deep Neural Networks (DNNs) stem from their exceptional performance across various domains. However, their inherent large size hinders deploying these networks on resource-constrained devices like edge, mobile, and IoT platform
Externí odkaz:
http://arxiv.org/abs/2401.10541
Holographic Metasurface Transceivers (HMTs) are emerging as cost-effective substitutes to large antenna arrays for beamforming in Millimeter and TeraHertz wave communication. However, to achieve desired channel gains through beamforming in HMT, phase
Externí odkaz:
http://arxiv.org/abs/2401.05420