Results 21 to 30 of about 55,056 (264)

ECC2K-130 on NVIDIA GPUs [PDF]

, 2010
A major cryptanalytic computation is currently underway on multiple platforms, including standard CPUs, FPGAs, PlayStations and Graphics Processing Units (GPUs), to break the Certicom ECC2K-130 challenge. This challenge is to compute an elliptic-curve discrete logarithm on a Koblitz curve over $\rm F_{2^{131}}$ .
Bernstein D.J., Chen H.-C., Cheng C.-M., Lange T., Niederhagen R., Schwabe P., Yang B.-Y.   +6 more
openaire   +3 more sources

Machine Learning in Python: Main Developments and Technology Trends in Data Science, Machine Learning, and Artificial Intelligence

Information, 2020
Smarter applications are making better use of the insights gleaned from data, having an impact on every industry and research discipline. At the core of this revolution lies the tools and the methods that are driving it, from processing the massive piles
Sebastian Raschka, Joshua Patterson, Corey Nolet   +2 more
doaj   +1 more source

Deep Learning to Estimate Model Biases in an Operational NWP Assimilation System

Journal of Advances in Modeling Earth Systems, 2022
Model bias is one of the main obstacles to improved accuracy and reliability in numerical weather prediction conducted with state‐of‐the‐art atmospheric models. To deal with model bias, a modification of the standard four‐dimensional variational (4D‐Var)
Patrick Laloyaux, Thorsten Kurth, Peter Dominik Dueben, David Hall   +3 more
doaj   +1 more source

Multiple scenario profiling to improve power integrity analysis coverage

Dianzi Jishu Yingyong, 2018
The ultra-high transistor density and increasing frequency lead to more critical power integrity issues. Vector-dependent simulation based on FSDB generates more accurate analysis. It’s not practical to simulate full chip through the simulation cycle, it
Xu Huimin, Zhu Weiwei, Shi Jian′an
doaj   +1 more source

Methods for evaluating the adoption and use of digital technologies in GLAMs

MethodsX, 2020
This article provides a method from which the breadth of adoption and use of digital technologies may be evaluated. Whilst the method can be used for individual devices, it was designed as a means for understanding the well-being of all devices within a ...
Eugene Ch’ng, Shengdan Cai
doaj   +1 more source

Residual corrective diffusion modeling for km-scale atmospheric downscaling

Communications Earth & Environment
State of the art for weather and climate hazard prediction requires expensive km-scale numerical simulations. Here, a generative diffusion model is explored for downscaling global inputs to km-scale, as a cost-effective alternative.
Morteza Mardani, Noah Brenowitz, Yair Cohen, Jaideep Pathak, Chieh-Yu Chen, Cheng-Chin Liu, Arash Vahdat, Mohammad Amin Nabian, Tao Ge, Akshay Subramaniam, Karthik Kashinath, Jan Kautz, Mike Pritchard   +12 more
doaj   +1 more source

Hardware dependencies of GPU-accelerated beamformer performances for microwave breast cancer detection

Current Directions in Biomedical Engineering, 2016
UWB microwave imaging has proven to be a promising technique for early-stage breast cancer detection. The extensive image reconstruction time can be accelerated by parallelizing the execution of the underlying beamforming algorithms.
Salomon Christoph J., Ley Sebastian, Helbig Marko   +2 more
doaj   +1 more source

A Simplified Laminar Flow Model for the Pultrusion of Glass Fiber/Polyethylene Terephthalate Commingled Yarns

Advanced Engineering Materials, EarlyView.
A simplified thermoplastic pultrusion model is developed to predict thermal fields in glass fiber/polyethylene terephthalate (GF/PET) composites with reduced computational cost. By combining effective material homogenization, validation against literature data, and Gaussian‐process‐based optimization, the study reveals how heating limits, pulling speed,
Elder Soares, Nadège Bouchonneau, Christian Jochum, Donald Radford   +3 more
wiley   +1 more source

Artificial intelligence for quantum computing

Nature Communications
Artificial intelligence (AI) advancements over the past few years have had an unprecedented and revolutionary impact across everyday application areas.
Yuri Alexeev, Marwa H. Farag, Taylor L. Patti, Mark E. Wolf, Natalia Ares, Alán Aspuru-Guzik, Simon C. Benjamin, Zhenyu Cai, Shuxiang Cao, Christopher Chamberland, Zohim Chandani, Federico Fedele, Ikko Hamamura, Nicholas Harrigan, Jin-Sung Kim, Elica Kyoseva, Justin G. Lietz, Tom Lubowe, Alexander McCaskey, Roger G. Melko, Kouhei Nakaji, Alberto Peruzzo, Pooja Rao, Bruno Schmitt, Sam Stanwyck, Norm M. Tubman, Hanrui Wang, Timothy Costa   +27 more
doaj   +1 more source

Inverse Identification of Energy‐Dependent Laser Absorptivity in NiTi Laser Powder‐Bed Fusion via Calibrated Melt Pool Simulation

Advanced Engineering Materials, EarlyView.
A combined experimental–computational framework identifies energy‐dependent laser absorptivity for NiTi in laser powder‐bed fusion, applicable to conduction and transition modes. Single‐track experiments and thermofluid smoothed particle hydrodynamics simulations are coupled through inverse analysis of melt pool geometry.
Mohamadreza Afrasiabi, Hadi Moutablaleh, Ignatius A. Setiawan, Mehrshad Mehrpouya   +3 more
wiley   +1 more source