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Machine learning models can seem complex when trying to understand why a model predicts what it does. This article describes

Google* recently released their Research Football Environment. This article breaks down its complexities and summarizes how w

Learn how we created a recurrent neural network that detects anomalous events in Windows*. We also explore how different neur

After participating in a contest to train a generative adversarial network (GAN) on the Stanford dog dataset to generate new

Image segmentation is often done using Mask-RCNN, U-Net, and other techniques. This article describes how image segmentation

We describe our progression from a traditional ASR system to one with an Encoder-Attention-Decoder architecture, and discuss

Recurrent Neural Networks have been the recent state-of-the-art methods for various problems whose available data is sequenti

When Artificial Intelligence involves some type of sensitive data, the problem is how to maintain the data privacy and securi

Vehicle Detection involves finding whether there is vehicle present or not secondly which type of vehicle is present and how

The motive of this article is to demonstrate the idea of distributed computing in the context of training large scale deep le

Intel Artificial Intelligence Developer Conference (AIDC) was a two-day conference that took place at the San Francisco Palace of Fine Arts on May 23-24, 2018.

英特尔® 校园大使计划旨在与创新型学校和大学的学生展开协作,共同在机器学习和人工智能领域取得突破。我有幸结识了我们的校园大使 Devinder Kumar,并了解他如何将机器学习应用于医疗和金融行业。 请介绍一下您自己。 我现在是滑铁卢大学视觉与图像