Blog post

Adding Multi-Touch Support in Unity* Windows* Apps

Someone asked me recently how to take advantage of multi touch in Unity apps running on Windows 7 & Windows 8 desktop.  I remember saying things like “it should be really eas

Authored by steve-hughes (Intel) Last updated on 05/03/2019 - 14:04
Blog post

关于 android 中 edittext 特殊字符过滤和字符长度限制的最优方法

在android开发中,经常会碰到edittext中特殊字符过滤和字符长度限制同时要求的问题,由于android不同版本之间的兼容问题,以及各种手机支持情况不同,因此,经常会出现一些设备上面不兼容问题。为了解决这个问题,这里经过实践总结,给出一个最优的方案:

首先,对于字符长度的限制我们可以使用3种方法,如下:

Authored by Last updated on 06/23/2019 - 19:00
Article

Archived - User Experience Guidelines for an Intel® RealSense™ Application

User experience (UX) guidelines exist for the implementation of Intel® RealSense™ technology in applications. We developed an application to help you visualize and implement the unique UX requirements necessary when design for the Intel® RealSense™ technologies. Source code for the application is available for download.
Authored by Meghana R. (Intel) Last updated on 12/13/2018 - 14:10
Article

Code Sample: Using Modern C++ Techniques to Enhance Multi-core Optimizations

This software example demonstrates how to use multi-core technologies to edit images. There are two parts to this project, a .NET Windows application front end written using C# and Windows Presentation Foundation (WPF) and a C++ DLL which is responsible for the actual manipulation of the image.
Authored by admin Last updated on 07/10/2018 - 11:23
Article

Using Enclaves from .NET*: Make ECALLS with Callbacks via OCALLS

Intel® SGX Code Sample: Learn how to mix enclaves with managed code on Microsoft Windows* platforms using the C# language. There are multiple solutions for accomplishing these tasks, and this article and its accompanying code sample demonstrate one approach.
Authored by John M. (Intel) Last updated on 10/08/2019 - 18:20
Article

Caffe* Training on Multi-node Distributed-memory Systems Based on Intel® Xeon® Processor E5 Family

Caffe is a deep learning framework developed by the Berkeley Vision and Learning Center (BVLC) and one of the most popular community frameworks for image recognition. Caffe is often used as a benchmark together with AlexNet*, a neural network topology for image recognition, and ImageNet*, a database of labeled images.
Authored by Gennady F. (Blackbelt) Last updated on 10/15/2019 - 16:50