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.
Convolutional Neural Networks (CNN) are becoming mainstream in computer vision. In particular, CNNs are widely used for high-level vision tasks, like image classification. This article describes an example of a CNN for image super-resolution (SR), which is a low-level vision task, and its implementation using the Intel® Distribution for Caffe* framework and Intel® Distribution for Python*.
What we call deep learning is typically associated with servers, the cloud, or high-performance computing. We are witnessing a reshuffling of compute partitioning between cloud data centers and clients in favor of moving applications of deep learning models to the client.
This article describes how to install and run Unity Technologies ML-Agents* in CPU-only environments.
Release Notes of Intel® Media SDK include important information, such as system requirements, what's new, feature table and known issues since the previous release.
Preview what Windows* ML and hardware acceleration looks like on devices using Intel integrated graphics devices.
How to take advantage of Apple* Machine Learning Frameworks Core ML* on Intel® Processor Graphics.
Designing AI for Games (part 3). This article discusses the concept of tactical AI and shows how to give intelligence agents higher orders of intelligence.