Zobrazeno 1 - 10
of 868
pro vyhledávání: '"Marda, A."'
Autor:
Basdevant, Adrien, François, Camille, Storchan, Victor, Bankston, Kevin, Bdeir, Ayah, Behlendorf, Brian, Debbah, Merouane, Kapoor, Sayash, LeCun, Yann, Surman, Mark, King-Turvey, Helen, Lambert, Nathan, Maffulli, Stefano, Marda, Nik, Shivkumar, Govind, Tunney, Justine
Over the past year, there has been a robust debate about the benefits and risks of open sourcing foundation models. However, this discussion has often taken place at a high level of generality or with a narrow focus on specific technical attributes.
Externí odkaz:
http://arxiv.org/abs/2405.15802
In the rapidly evolving landscape of transportation, the proliferation of automobiles has made road traffic more complex, necessitating advanced vision-assisted technologies for enhanced safety and navigation. These technologies are imperative for pr
Externí odkaz:
http://arxiv.org/abs/2403.08283
Addressing runtime uncertainties in Machine Learning-Enabled Systems (MLS) is crucial for maintaining Quality of Service (QoS). The Machine Learning Model Balancer is a concept that addresses these uncertainties by facilitating dynamic ML model switc
Externí odkaz:
http://arxiv.org/abs/2402.06351
Machine Learning (ML), particularly deep learning, has seen vast advancements, leading to the rise of Machine Learning-Enabled Systems (MLS). However, numerous software engineering challenges persist in propelling these MLS into production, largely d
Externí odkaz:
http://arxiv.org/abs/2308.09960
Autor:
Heri Murbiyantoro, Budi Dharmawanputra, Raden Roro Maha Kalyana Mitta Anggoro, Harpang Yudha Karyawanto, Marda Putra Mahendra
Publikováno v:
Gondang: Jurnal Seni dan Budaya, Vol 8, Iss 1, Pp 172-179 (2024)
Music education is a realm of study concerned with the teaching and learning of music. This music education will develop affective, motor skills in students who play instruments and expand cognitive development through reasoning and interpretation of
Externí odkaz:
https://doaj.org/article/f106d4ebd6b549afb86200753e73e0bc
Publikováno v:
Majalah Biomorfologi, Vol 34, Iss 2, Pp 134-142 (2024)
Highlights • Biodentine has undergone thorough research as a bone grafting substance due to its ability to promote bone regeneration and effectively treat root or tooth fractures. • PRF and Biodentine can stimulate osteogenesis, affecting bone
Externí odkaz:
https://doaj.org/article/03fbbd18953546b49e03a8aca61969ef
Autor:
Börner, Katy, Quardokus, Ellen M., Herr II, Bruce W., Cross, Leonard E., Record, Elizabeth G., Ju, Yingnan, Bueckle, Andreas D., Sluka, James P., Silverstein, Jonathan C., Browne, Kristen M., Jain, Sanjay, Wasserfall, Clive H., Jorgensen, Marda L., Spraggins, Jeffrey M., Patterson, Nathan H., Musen, Mark A., Weber, Griffin M.
The National Institutes of Health's (NIH) Human Biomolecular Atlas Program (HuBMAP) aims to create a comprehensive high-resolution atlas of all the cells in the healthy human body. Multiple laboratories across the United States are collecting tissue
Externí odkaz:
http://arxiv.org/abs/2007.14474
Autor:
Daly, Angela, Hagendorff, Thilo, Hui, Li, Mann, Monique, Marda, Vidushi, Wagner, Ben, Wang, Wei, Witteborn, Saskia
Artificial intelligence (AI) is a technology which is increasingly being utilised in society and the economy worldwide, and its implementation is planned to become more prevalent in coming years. AI is increasingly being embedded in our lives, supple
Externí odkaz:
http://arxiv.org/abs/1907.03848
Traditional semantic similarity models often fail to encapsulate the external context in which texts are situated. However, textual datasets generated on mobile platforms can help us build a truer representation of semantic similarity by introducing
Externí odkaz:
http://arxiv.org/abs/1812.09650
Autor:
Chia-Feng Tsai, Yi-Ting Wang, Chuan-Chih Hsu, Reta Birhanu Kitata, Rosalie K. Chu, Marija Velickovic, Rui Zhao, Sarah M. Williams, William B. Chrisler, Marda L. Jorgensen, Ronald J. Moore, Ying Zhu, Karin D. Rodland, Richard D. Smith, Clive H. Wasserfall, Tujin Shi, Tao Liu
Publikováno v:
Communications Biology, Vol 6, Iss 1, Pp 1-12 (2023)
A streamlined tandem tip-based workflow for sensitive nanoscale phosphoproteomics is developed, reducing sample loss and processing time, allowing the phosphoproteome profiling of mass-limited samples at the low nanogram level.
Externí odkaz:
https://doaj.org/article/796f3bd002b54b4dbb6db811c1042557