This workshop will consider several applications based on machine learning classification and the training of artificial neural networks and deep learning.
A new digital system allows operations on a chip to run in parallel, so an AI program can arrive at the best possible answer ...
Parallel Works announced that its collaboration with GDIT on a solution to expand a large federal agency's complex, mission-critical weather forecasting HPC workloads to the cloud has been awarded the ...
Abstract: With latest advancements in architecture, reprogram ability and availability of abundant on-chip resources, FPGAs (Field Programmable Gate Array) are used as hardware accelerators to speedup ...
Abstract: Graphics Processing Units (GPUs) have emerged as the predominant hardware platforms for massively parallel computing. However, their inherent von-Neumann architecture still suffers ...
A very minimal implementation of neural network on Matlab to fit mechanical properties of a multi-principal element alloy (or HEA for high entropy alloys). The example given fits the Vickers hardness ...
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