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Intelligent cryptocurrency trading assistant
With blockchain being invented in 2008, cryptocurrencies have grown steadily through the years. Cryptocurrencies continue today to be an extremely interesting phenomenon. Having quickly achieved popularity and becoming very popular, cryptocurrencies continue to be a profitable investment tool, capable of generating huge profits on exchanges and transactions. Being a professional trader is not an easy task to achieve, a professional trader needs to observe and process multiple factors and events that affect the cryptocurrency market to make the right decision. What makes this process challenging is that some of the factors cannot be predicted or calculated but rather, their changes should be observed and comprehended, and an action should be taken in response quickly in order to maximize the profit or minimize the loss.
Artificial intelligence hardware design : Challenges and solutions
Learn foundational and advanced topics in Neural Processing Unit design with real-world examples from leading voices in the field. A thorough introduction to neural networks and neural network development history, as well as Convolutional Neural Network (CNN) models Explorations of various parallel architectures, including the Intel CPU, Nvidia GPU, Google TPU, and Microsoft NPU, emphasizing hardware and software integration for performance improvement Discussions of streaming graph for massive parallel computation with the Blaize GSP and Graphcore IPU An examination of how to optimize convolution with UCLA Deep Convolutional Neural Network accelerator filter decomposition
