Latest Ambassador Highlights

Explore the projects that student ambassadors are working on such as robotic cars, automatic image captions, natural language processing, self-aware machines, and much more.

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Cash Recognition for Visually Impaired: Part 3

Published on January 22, 2019

Cash Recognition for Visually Impaired (CRVI) is a mobile app, currently in development, using deep learning technology to make daily monetary transactions easier for visually impaired individuals in Nepal. The challenge:...

Cash Recognition for the Visually Impaired: Part 2

Published on December 4, 2018

Cash Recognition for Visually Impaired is an attempt to make daily monetary transactions easier for visually impaired individuals in Nepal using deep learning technology. In Nepal, the monetary cash notes don’t have...

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Compression and Acceleration of High-dimensional Neural Networks

Published on November 15, 2018

An introduction to compression and acceleration of deep neural networks for resource-efficient inference.

Neural Style Transfer on Audio Signals

Published on November 1, 2018

This article shows how to extend and modify an algorithm for audio signals using convolutional neural networks.

Deep Learning for Natural Language Processing

Published on October 25, 2018

TensorFlow* implementations of various deep learning models with a focus on problems in natural language processing

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Efficient Computation on the Edge

Published on October 1, 2018

Present learning representations to classify age and gender by using deep-convolutional neural networks.

Code Sample: Optimizing Binarized Neural Networks on Intel® Xeon® Scalable Processors

Published on August 14, 2018

In the previous article, we discussed the performance and accuracy of Binarized Neural Networks (BNN). We also introduced a BNN coded from scratch in the Wolfram Language. The key component of this neural network is Matrix Multiplication.

Knowledge Distillation with Keras*

Published on August 9, 2018

The problem that we are facing right now is that we have built sophisticated models that can perform complex tasks, but the question is, how do we deploy such bulky models on our mobile devices for instant usage...

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Binary Neural Networks

Published on August 8, 2018

Binary neural networks are networks with binary weights and activations at run time. At training time these weights and activations are used for computing gradients; however, the gradients and true weights are stored in...

Deep Learning Bengali Character Recognition from Real-World Images

Published on August 2, 2018

The aim of this project is to apply deep learning models for recognition of Bengali characters and numerals. For training we used publicly available datasets. We also explore how to develop a complete Bengali character recognizer

Transfer Learning in Natural Language Processing

Published on July 24, 2018

Transfer Learning was limited to computer vision up till now, but recent work shows that the impact can be extended almost everywhere, including natural language processing (NLP).

Using Natural Language Processing for Smart Question Generation

Published on July 4, 2018


Automatic question generation is part of Natural Language Processing (NLP). It is an area of research where many researchers have presented their work and is still an area under research to achieve higher accuracy. Many researchers...

heat maps of multiple lungs

Deep Learning: Build a Black Box Model for Medical Professionals

Published on July 2, 2018

Building a Black Box Model Using Transfer Learning Introduction

In the 21st century, the years of big data and big innovations in medicine, we frequently hear about artificial intelligence (AI) solutions based on statistical and machine...

steel plate deformities examples

Use Machine Learning to Detect Defects on the Steel Surface

Published on June 27, 2018

This article provides an effective and robust approach to detect and classify metal defects using computer vision and machine learning.

Part 1: Using Transfer Learning to Introduce Generalization in Models

Published on June 25, 2018

This paper compares different ideas and methods that are used heavily in Machine Learning to determine what works best. These methods are prevalent in various domains of Machine Learning, such as Computer Vision and Natural Language Processing (NLP).

Improving Cycle-GAN using Intel® AI DevCloud

Published on June 22, 2018

In this article, we will see some scope for optimization in Cycle-GAN for unpaired image-to-image translation, and come up with a new architecture.

Keras* Implementation of Siamese-like Networks

Published on June 19, 2018

This guide will help you to write complex neural networks such as Siamese networks in Keras. It also explains the procedure to write your own custom layers in Keras.

Understanding Capsule Network Architecture

Published on June 19, 2018

Capsule networks (CapsNet) are the new architecture in neural networks, an advanced approach to previous neural network designs, particularly for computer vision tasks. To date, convolutional neural networks (CNN) have...

RAIL: Risk-Averse Imitation Learning System

Last updated: June 13, 2018Video length: 2 min

Present a Risk-Averse Imitation Learning (RAIL) algorithm as an alternative to Generative Adversarial Imitation Learning (GAIL) for improved reliability in risk-sensitive applications.

Automating Wildlife Image Processing Using IoT and the Intel® Movidius™ Neural Compute Stick

Last updated: June 12, 2018Video length: 1 min

The design and implementation of Where's The Bear (WTB), an end-to-end, distributed, IoT system for wildlife monitoring.

Deep Learning for Cryptocurrency Trading

Last updated: June 12, 2018Video length: 2 min

The project Deep Learning for Cryptocurrency Trading is focused on utilizing sentiment analysis on social outputs related to Cryptocurrencies on Reddit* and Twitter*.

A CLass-Enhanced Attentive Response (CLEAR) Approach to Understand Deep Neural Networks

Last updated: June 12, 2018Video length: 4 min

We propose CLass-Enhanced Attentive Response (CLEAR): an approach to visualize and understand the decisions made by deep neural networks (DNNs) given a specific input.

Bruna Maciel Pearson

Towards Autonomous UAV Flight in Cluttered Forestry Environments

Last updated: June 11, 2018Video length: 2 min

An approach for automatic trail navigation with an Unmanned Aerial Vehicle (UAV).

Self Driving Vehicles and Risk Analysis

Last updated: June 11, 2018Video length: 3 min

We show a method to create a guidance solution based upon system risk for a system’s goal.

My Takeaways From Intel® AI DevCon

Published on June 6, 2018

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. Unlike most conferences held by tech companies, this conference was highly technical...