High-Performance Systems for in Silico Microscopy Imaging Studies

2010 ◽  
pp. 3-18 ◽  
Author(s):  
Fusheng Wang ◽  
Tahsin Kurc ◽  
Patrick Widener ◽  
Tony Pan ◽  
Jun Kong ◽  
...  
Keyword(s):  
In Silico ◽  
High Performance ◽  
Imaging Studies ◽  
Microscopy Imaging ◽  
High Performance Systems

МЕТОДЫ ДОСТИЖЕНИЯ МАКСИМАЛЬНОЙ ЭФФЕКТИВНОСТИ ПЛАТФОРМЫ ПРОТОТИПИРОВАНИЯ ВЫСОКОПРОИЗВОДИТЕЛЬНЫХ СИСТЕМ НА КРИСТАЛЛЕ НА ЗАДАЧАХ ИСКУССТВЕННОГО ИНТЕЛЛЕКТА

2020 ◽  
Vol 96 (3s) ◽  
pp. 585-588
Author(s):  
С.Е. Фролова ◽  
Е.С. Янакова
Keyword(s):  
Neural Network ◽  
Artificial Intelligence ◽  
Computer Vision ◽  
High Performance ◽  
Systems On Chip ◽  
High Performance Systems ◽  
On Chip ◽  
Network Technologies ◽  
Neural Network Technologies

Предлагаются методы построения платформ прототипирования высокопроизводительных систем на кристалле для задач искусственного интеллекта. Изложены требования к платформам подобного класса и принципы изменения проекта СнК для имплементации в прототип. Рассматриваются методы отладки проектов на платформе прототипирования. Приведены результаты работ алгоритмов компьютерного зрения с использованием нейросетевых технологий на FPGA-прототипе семантических ядер ELcore. Methods have been proposed for building prototyping platforms for high-performance systems-on-chip for artificial intelligence tasks. The requirements for platforms of this class and the principles for changing the design of the SoC for implementation in the prototype have been described as well as methods of debugging projects on the prototyping platform. The results of the work of computer vision algorithms using neural network technologies on the FPGA prototype of the ELcore semantic cores have been presented.

scholarly journals High-performance chemical- and light-inducible recombinases in mammalian cells and mice

2019 ◽  
Vol 10 (1) ◽  
Author(s):  
Benjamin H. Weinberg ◽  
Jang Hwan Cho ◽  
Yash Agarwal ◽  
N. T. Hang Pham ◽  
Leidy D. Caraballo ◽  
...  
Keyword(s):  
Gene Expression ◽  
Mammalian Cells ◽  
High Performance ◽  
Genome Engineering ◽  
Genetic Circuits ◽  
Control Of Gene Expression ◽  
Expression Control ◽  
Gene Expression Control ◽  
High Performance Systems ◽  
Spatiotemporal Control

Abstract Site-specific DNA recombinases are important genome engineering tools. Chemical- and light-inducible recombinases, in particular, enable spatiotemporal control of gene expression. However, inducible recombinases are scarce due to the challenge of engineering high performance systems, thus constraining the sophistication of genetic circuits and animal models that can be created. Here we present a library of >20 orthogonal inducible split recombinases that can be activated by small molecules, light and temperature in mammalian cells and mice. Furthermore, we engineer inducible split Cre systems with better performance than existing systems. Using our orthogonal inducible recombinases, we create a genetic switchboard that can independently regulate the expression of 3 different cytokines in the same cell, a tripartite inducible Flp, and a 4-input AND gate. We quantitatively characterize the inducible recombinases for benchmarking their performances, including computation of distinguishability of outputs. This library expands capabilities for multiplexed mammalian gene expression control.

In Silico Modelling of Acceptor Materials by End-capped and π-linker modifications for High-Performance Organic Solar Cells: Estimated PCE > 18%

2021 ◽  
pp. 113555
Author(s):  
Muhammad Yasir Mehboob ◽  
Rania Zaier ◽  
Riaz Hussain ◽  
Muhammad Adnan ◽  
Malik Muhammad Asif Iqbal ◽  
...  
Keyword(s):  
Solar Cells ◽  
Organic Solar Cells ◽  
In Silico ◽  
High Performance ◽  
In Silico Modelling

scholarly journals In silico synthesis of carbon molecular sieves for high-performance air separation

Carbon ◽  
2019 ◽  
Vol 141 ◽  
pp. 626-634 ◽  
Author(s):  
Yasuyuki Yamane ◽  
Hideki Tanaka ◽  
Minoru T. Miyahara
Keyword(s):  
In Silico ◽  
Molecular Sieves ◽  
High Performance ◽  
Air Separation ◽  
Carbon Molecular Sieves

Monitoring the state of the moving train by use of high performance systems and modern computation methods

2015 ◽  
Vol 7 (1) ◽  
pp. 51-61 ◽  
Author(s):  
I. B. Petrov ◽  
A. V. Favorskaya ◽  
N. I. Khokhlov ◽  
V. A. Miryakha ◽  
A. V. Sannikov ◽  
...  
Keyword(s):  
High Performance ◽  
The State ◽  
High Performance Systems ◽  
Moving Train
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