Here, the demo and the week 6 content is presented. Complete usage of NUC is demonstrated as well.

This month's newsletter highlights the top activities of Intel® Software Innovators, Intel® Black Belt Developers, and Intel® Student Ambassadors in January 2018 including #DeveloperArt December Challenge.

This article, Detecting Invasive Ductal Carcinoma with Convolutional Neural Networks, shows how existing deep learning technologies can be utilized to train artificial intelligence (AI) to be able to detect invasive ductal carcinoma (IDC)1 (breast cancer) in unlabeled histology images.

Inception V3 by Google is the 3rd version in a series of Deep Learning Convolutional Architectures. Inception V3 was trained using a dataset of 1000 classes from the original ImageNet dataset which was trained with over 1 million training images. Inception V3 was trained for the ImageNet Large Visual Recognition Challenge where it was a first runner up.

The AML/ALL Classifier Data Augmentation program applies filters to datasets and increases the amount of training / test data available to use. The program is part of the computer vision research and development for the Peter Moss Acute Myeloid/Lymphoblastic (AML/ALL) Leukemia AI Research Project.

The CTA Fall Forum focuses on the future. The Consumer Technology Association is an important entity that works on behalf of creators toward policies and regulations that affect technologists, entrepreneurs, and innovators with a focus in technology.

Featured in the 2019 Tech Calendar with Female Founders TX in April and as a Tech Entrepreneur in August.

Here, I explain the marker and markerless options. Also, the first level view is presented.

Intel Developer Program Page Featured Innovator

Here, I have explained the usage of Sensor and Interfacing the same through a Mobile. Also, The gesture details are discussed.