This chapter presents the basics of neural network (NN) models from the perspective of surrogate models. This includes the effect of the number of samples, the effect of model forms, challenges in the ...

As AI models move from design to production, mining engineers face a double-faceted challenge: delivering real-time performance on embedded devices with ...

AI’s “backbone” increasingly means energy, infrastructure, and matrix math powering massive next-generation computing systems.

Tensordyne says logarithmic computing could reduce AI inference costs and power demands, offering an alternative to conventional chip designs.

Finding good help can be hard these days, especially in the development and engineering world. These sites can help you hire ...

This paper deals with the underwater image restoration. For this, we have considered two of the main low-level vision tasks, image enhancement, and super-resolution. For underwater image enhancement ...

This webpage is a benchmark data set for keystroke dynamics. It is a supplement to the paper "Comparing Anomaly-Detection Algorithms for Keystroke Dynamics," by Kevin Killourhy and Roy Maxion, ...

Book MATLAB Deep Learning - With Machine Learning, Neural Networks and Artificial Intelligence 162 Pages 2017.pdf Book Machine Learning with Python Cookbook - Practical Solutions 366 Pages 2018.pdf ...