Intel® Black Belt Software Developers, Intel® Software Innovators, & Intel® Student Ambassadors: March 2018

Intel® Developers and Innovators were busy over the last month! Here’s an update on what the Intel® Software Innovators, Intel® Black Belt Software Developers, and Intel® Student Ambassadors were up to around the globe.

BLACK BELT SPOTLIGHT

Abhishek Nandy gave several talks on both artificial intelligence and commercial IoT, as well as gave an Intel IoT Workshop, at the Anohkha Techfest. Abhishek also gave a 2 day commercial Iot Workshop in Siliguri.

Martin Foertsch & Thomas Endres created a new video showcasing their HoloLens project. At the OOP Konferenz they showcased several projects in the Intel booth and at the tech fair they demoed their prototypes with VIP members of the conference. At the Intel Buzz Conference in Berlin, they showed off their new VR game, ParrotAttacks, and gave a talk about the application development of their Beam Me Up – Holographic Telepresence with HoloLens project.

INNOVATOR SPOTLIGHT

Asia Pacific

Adam Ardisasmita gave a guest lecture about game development, design, and programming including sharing a framework to design and build a game from IDZ and also an introduction to VR development. Ghanashyam S facilitated the Design Thinking Workshop for attendees of Development Dialogue 2018 and attendees of Google DSC Leads India Summit 2018. Karthik MU gave a Cloud First Workshop at National Institute of Technology Karnataka. Avirup Basu gave an Industrial Internet of Things workshop at Developer Weekend in Bengaluru which focused on the development of IoT concepts for industrial use-cases like industrial automation.

Manisha Biswas conducted an Intel Alliance IoT Workshop with AWS and Google content in Kolkata and also gave a full-day hands-on workshop at UPES on building an augmented reality app with Unity and Vuforia; from developing a simple app to understanding the basics of 3D concepts, and completing with finally building an AR app. Sourav Lahoti gave a speakership and hands-on demo of Intel IoT with Google Cloud platform and AWS.

Siddhant Agarwal gave an overview of Intel IoT technology as well as how it integrates with Amazon Web Services at the Intel Alliance IoT Workshop in Dehradun and at the Connecting IoT and AI meetup in Kathmandu. Benjamin Mathews Abraham gave an IoT and Bionics speakership and demo at Adharva 2018, a workshop on IoT and Signal Processing at Sthithi 2018, and an Intel Edison workshop at CultAway 2018.

North America

As part of the World Government Summit 2018, Peter Ma won the first place at the World Virtual GovHack – the largest virtual hackathon in 2017 – winning $200,000 in prize money. Peter also had an article written about hacking lifestyle, winnings, and participation in the World Government Summit in a German magazine. He also gave a demo for Doctor Hazel and a talk on deep learning vs. machine learning and how to build Doctor Hazel from the ground up at SIGCSE 2018. At Developer Week San Francisco, Peter built Home Alone, a security camera system that uses AI to detect people, winning the TomTom Smart Home Award. Peter built Fan Coin and Crypto Dish at ETHDenver, building blockchain for crypto Olympic medals and recipes on blockchain, winning DAOStack, Storj and Ideas by Nature Challenge prizes.

Harsh Verma hosted the ACM Sacramento Chapter Distinguished Speaker Talk which featured Bob Duffy discuss Virtual Reality Powered by Intel. Adrian Rosebrock published two detailed blog posts on the Intel Movidius NCS and promoted the content to his email list of over 60,000 people: Real-time object detection on the Raspberry Pi with Intel Movidius NCS and Getting started with the Intel Movidius NCS. Lilli Szafranski displayed the Stoicheia installation as part of the Portland Winter Light Festival and gave a talk on how it was created. Justin Lassen participated in a panel at Lubbock-Con where he talked about creating audio content and presets used by composers and creators around the world. Rose Day shares her project, Text and Audio Analysis using Sphinx and Google Cloud, which uses the Intel NUC running with Sphinx and Google to process voice and text using text classification, sentiment analysis, and API limits for reading audio.

Chris Matthieu’s company Computes, Inc. was featured in Face the Current magazine about disruptive entrepreneurs with a social conscious. Ayush Singh shared his blog post on evaluating how hyper-parameters affect deep learning outcomes. At the Denton Maker Faire Ritik Patnaik presented his maker and science fair projects. One project was his Edson Head Impact System, which is an IoT enabled concussion detection system or youth football that employs the Intel Edison Compute Module. He also presented was his Meso-American VR Museum Exhibit that uses Unity, Android, and Intel-inspired Google Cardboard. In addition Ritik also demoed Picroscope, his latest innovationwhich also won the 2017 Raspberry Pi Instructables Contest, and is a DIY, Raspberry Pi powered microscope for interactive and educational bio-tech application.

Paul Langdon shared his Recursive ML at the Edge project which is a case study on that uses the AWS DeepLens to train a bird species identifier by using an existing image recognition model and building a secondary seed library to extend the classifier to make a more specific model. Paul also the hackster.io monthly meetup in Hartford which was a show and tell of various projects and technologies by a working group of community professionals and focused on the AWS DeepLens and Intel NUC. He also gave two Intel Alliance IoT Workshops, one on Google Cloud platform and commercial IoT, and the other on AWS Vision on the Intel NUC.

South America

Paulo Pinheiro shared a video of the latest prototype of the Wheelie which has been developed at Johnson & Johnson Innovation Labs in Houston and uses the Intel RealSense camera to enable people to control wheelchair movement with their facial expressions.

Europe

Eyal Gruss gave a review of semantic segmentation methods with deep learning at a speakership, gave an introductory hands-on workshop on computational poetry, and also gave a hands-on machine learning workshop for artificial intelligence for critical creators. Claudia Zignaigo discussed an embedded home automation project during her talk on visualizing home automation with GRiSP at LambdaDAys 2018 in Krakow.

Rishal Hurbans acted as a judge for the hackathon and presented a talk titled “Neural Networks: A Primer” which discusses how machine learning and deep learning are becoming widely adopted areas in developing innovative solutions at Developer Week San Francisco. Matteo Valoriani gave a full-day training and mentorship with a startup that are developing an education game at Google Design Sprint.

Roberto Diaz Morales gave a talk on deep learning evolution in computer vision at Devacademy Meetup which gave an overview of how deep learning has evolved since the 60’s showing how it moved from slow algorithms to classify images to perform object detection in real-time.

Ron Evans shares his Go-NCS project which allows you to control an Intel Movidius NCS from the Go programming, for high performance applications of deep neural networks like computer vision. The new Go-NCS package was featured in Golang Weekly, the largest Go programming email newsletter with over 22k recipients. At Embedded World 2018, Ron demoed computer vision reference platform applications and Intel Movidius NCS. He also gave a conference talk about using the Go programming language for computer vision applications, featuring the Intel CV SDK, at FOSDDEM 2018.

Justin Shenk provided an Intel IoT Alliance workshop on using Google Cloud NLP API for speech recognition and sentiment analysis with the Intel NUC at the Meunster Data Science Meetup. He also led a hands-on introduction to the Intel Movidius NCS technology and applications as well as provided a workshop on end-to-end deep learning with TensorFlow for the Open Source Hardware User Group.

At this month’s AI Saturday Lagos workshop, Tejumade Afonja discussed deep learning in terms of what is a CNN and how can it be used to solve various deep learning problems. Marco Spaziani Brunella shared his project, PMP, which is VLIW Core for packet manipulation.

Johnny Chan at Embedded World 2018, Johnny demoed computer vision reference platform applications and Intel Movidius NCS. Zayen Chagra gave a developer training on Angular and Javascript for web and mobile uses.

STUDENT AMBASSADOR SPOTLIGHT

Mohan Nikam shared his paper on An Optimized Architecture for Unpaired Image-to-Image Translation, which was accepted to be published in Springer Advances in Intelligent Systems and Computing (AISC) Series 11156 and was presented to the 2018 Springer International Conference on Advanced Computing, Networking, and Informatics (ICANI). Mohan also gave an Intel AI Workshop at Medi-Caps University providing an overview of machine learning and algorithms, a hands-on demo of Iris Flower Species Classification, an overview of deep learning and the gradient descent algorithm, and neural network visualization on TensorFlow Playground.

Nikhil Kasukurthy wrote an article on IDZ on Visualising CNN Models Using PyTorch* which gives a brief introduction to various visualization techniques and in-depth code explanations. Prajjwal Bhargava shared three projects: better generative modelling through Wasserstein GANs, language modelling using LSTMS, and collaborative filtering for recommender systems using deep learning. Alok Pandey is teaching an 8-week Statistics in Machine Learning Training program. The first session focused on explaining the concepts of logistic regression and further depicting its application in the Framingham Heart Study; the second week consisted of the implementation of a logistic regression model for election forecasting; and the third week discussed concepts of CART, Random Forests, and Cross Validation along with their application in building a regression tree for housing data.

David Ojika gave a demonstration and poster presentation on building deep learning on embedded devices using Intel Movidius Myriad-2/NCS at SIGCSE 2018. Sarvaiya Adityakumar Kirtikumar set up an AI Meetup at Lalbhai Dalpatbhai College of Engineering to inspire other students and create a more collaborative atmosphere on campus for the development of AI and ML projects, beginning with an intro on how to begin with from ground zero. Yash Akhauri is attempting to implement XNOR neural network functions on Intel AVX-512 ISA with his XNOR-Net with OpenMP project.

Nikhil Murthy discussed his work and presented a demo of it at the Intel booth at SIGCSE. He also presented the newly developed Coursera course “An introduction to Practical Deep Learning co-taught by two Intel AIPG engineers. Shadab Khan shares his project which uses GAN on MNIST dataset to generate hand written numbers. Shaury Baranwal shares his project which is a sentiment analysis of user’s restaurant reviews. Soubhik Das shared his paper, a survey on types of machine learning techniques in intrusion prevention systems, which was published on 2017 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET). Sri Harsha Gajavalli gave a hands-on workshop with TensorFlow at the AI Meetup in Chennai discussing artificial neural networks and demonstrations of his projects with MNIST dataset and neural networks trained on Intel Colfax Cluster. He also gave a hands-on workshop on R programming to students at IIIT SriCity.

As President of the Artificial Intelligence in Business & Entrepreneurship (AIBE), Felix Farley organized and hosted the second annual AIBE Summit, the world’s largest non-profit conference on AI, with more than 700 delegates in attendance and featuring a lineup of speakers and technology exhibitions. Damla Gul Altunay’s project, Intelligent Security System for Abandoned Luggage, aims to find out if abandoned luggage was left by its owner by using computer vision and machine learning techniques. Avinash Madasu shared his project that uses different feature extraction techniques for sentiment analysis. Daniel Theisges dos Santos’ project, BR-TRAFFIC SIGNS, is an example of Advanced Driver Assistant Systems (ADAS) which seek to extract traffic information through computer vision techniques.

Kshitiz Rimal hosted the Connecting IoT and AI Meetup where Siddhant Agarwal was the main speaker discussing how IoT can be connected with AI and two other speakers from Nepal shared knowledge on reinforcement learning and how to connect brain computer interfaces with Machine learning. Divyansh Jha hosted the AI Saturday meetup at Jawahar Ial Nehry University in Delhi where they discussed AI projects. Emanuel Di Nardo gave an introduction to AI with neural networks, deep learning, and TensorFlow at Dev Day Napoli meetup. Fredrick Aponyo gave an introduction to data science hands-on workshop at Egerton University to introduce students who have passion to venture into AI.

Thejan Wijesinghe gave a hands-on session on sequence models in action with Keras. Urban Avsec gave a presentation on artificial intelligence at the Leiden Software Development Meetup with a goal of making the idea of AI easier to grasp, from simple regression algorithms to neural networks. Aravindhan gave a TensorFlow for beginners workshop and webinar. Yaron Michl shared his monitoring wheat fields by using satellite imagery project. Carlos Paradis shared his project for detecting child abuse through their drawings. Devinder Kumar was featured in a blog post on IDZ profiling his work.

Vincenzo Santopietro gave a talk on the fundamentals of machine learning and demoed some of Intel’s tools for AI such as the Movidius NCS and Intel’s optimizations for TensorFlow at DevDay Napoli. Naeem Hadiq formed an official AI club on campus, MESCE, and the inagaural session was on the importance of AI and ML where he discussed his projects and Intel specific frameworks. Naeem also gave an AI quiz including questions of specific libraries and code segments as part of the club meetup. Jatin Arora hosted technical time for the AI Meetup club at Arya College of Engineering and IT. Rishi Rajkumar educated students on AI and deep learning along with how neural networks work. Kaustav Tamuly shared his blog post which serves as an introduction to the policy gradients algorithm and discusses the implementation of an agent to play the game of Pong using Intel optimized framework for Neon.

Nikhil Murthy discussed his work and presented a demo of it at the Intel booth at SIGCSE. He also presented the newly developed Coursera course “An introduction to Practical Deep Learning co-taught by two Intel AIPG engineers. Shadab Khan shares his project which uses GAN on MNIST dataset to generate hand written numbers. Shaury Baranwal shares his project which is a sentiment analysis of user’s restaurant reviews. Soubhik Das shared his paper, a survey on types of machine learning techniques in intrusion prevention systems, which was published on 2017 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET). Sri Harsha Gajavalli gave a hands-on workshop with TensorFlow at the AI Meetup in Chennai discussing artificial neural networks and demonstrations of his projects with MNIST dataset and neural networks trained on Intel Colfax Cluster. He also gave a hands-on workshop on R programming to students at IIIT SriCity.

Want to learn more?

You can read about our innovator updates, get the full Innovator program overview, meet the innovators and learn more about innovator benefits. We also encourage you to learn more about our Black Belt Software Developer program as well as our Student Ambassador program. Also check out Developer Mesh to learn more about the various projects that our community of innovators are working on.

Interested in more information? Email Wendy Boswell

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