Article

Multi-threading Line-of-Sight Calculations to Improve Sensory System Performance in Game AI

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.
作者: 管理 最后更新时间: 2018/01/24 - 15:35
Article

The Secrets of Parallel Pathfinding on Modern Computer Hardware

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.
作者: 最后更新时间: 2018/12/31 - 15:00
Article

Manage Deep Learning Networks with Caffe* Optimized for Intel® Architecture

How to optimize Caffe* for Intel® Architecture, train deep network models, and deploy networks.
作者: Andres Rodriguez (Intel) 最后更新时间: 2019/03/11 - 13:17
Article

Set Up Intel® Software Optimization for Theano* and Supporting Tools

Get recipes for installing development tools and libraries on various platforms for the Python library.
作者: Sunny G. (Intel) 最后更新时间: 2018/05/08 - 10:50
视频

Remove Python* Performance Barriers for Machine Learning

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

作者: 管理 最后更新时间: 2018/02/13 - 09:24
Article

Benefits of Intel® Optimized Caffe* in comparison with BVLC Caffe*

Overview
作者: JON J K. (Intel) 最后更新时间: 2018/05/30 - 07:00
Article

ASTRO - The Robot solution for a Safer and more Productive Workplace

1. Robots and ASTRO
作者: Silviu-Tudor Serban 最后更新时间: 2019/06/23 - 18:50
博客

Mode collapse in GANs

Hello everyone! 

作者: 最后更新时间: 2018/12/12 - 18:00
Article

CIFAR-10 Classification using Intel® Optimization for TensorFlow*

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.
作者: 最后更新时间: 2019/02/18 - 13:40
Article

A Closer Look at Object Detection, Recognition and Tracking

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.
作者: Grevelink, Evelyn (Intel) 最后更新时间: 2019/03/11 - 13:17