In this article, Alex Champandard describes how to accelerate Multi-threading Line-of-Sight calculations to improve AI sensory system performance through the concept of a centralized sensory system using a mini-game prototype AI Sandbox.
One of the first things that game AI developers parallelize is pathfinding as it is an expensive operation. The most common approach is to fire off the pathfinder in a separate thread. This article examines a multi-threaded pathfinding implementation.
How to optimize Caffe* for Intel® Architecture, train deep network models, and deploy networks.
Get recipes for installing development tools and libraries on various platforms for the Python library.
Online content and service providers like Netflix and Amazon have popularized the use of recommendation platforms/engines, that predict a user’s preferences based on historical ratings, collective
1. Robots and ASTRO
This work demonstrates the experiments to train and test the deep learning AlexNet* topology with the Intel® Optimization for TensorFlow* library using CIFAR-10 classification data on Intel® Xeon® Scalable processor powered machines. These experiments were conducted with options set at compile time and run time.
This paper provides guidance from the dictionary to appropriately define and discern the terms object detection, object recognition, and object tracking. We then explore some of the algorithms involved with each process to underpin these definitions.