Abstract: The continued need for improvements in accuracy, throughput, and efficiency of Deep Neural Networks has resulted in a multitude of methods that make the most of custom architectures on FPGAs ...

Abstract: This paper presents a review of the literature on network traffic prediction, while also serving as a tutorial to the topic. We examine works based on autoregressive moving average models, ...

Learn how backpropagation works by building it from scratch in Python! This tutorial explains the math, logic, and coding behind training a neural network, helping you truly understand how deep ...

Simply sign up to the Artificial intelligence myFT Digest -- delivered directly to your inbox. OpenAI and star designer Jony Ive are grappling with a series of technical issues with their secretive ...