Intel® Black Belt Software Developers, Intel® Software Innovators, & Intel® Student Ambassadors: October 2017

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.


Abhishek Nandy spoke about the basics of AI at AI 101 in Kolkata and Birbhum. He also wrote an article on The World of AI and Deep Learning, and an article on Setting up the New Intel DLSDK Tools Beta. Abhishek also presented at several Intel® IoT Commercial workshops across India and at the Intel® AI Academy seminar in Durgapur.

Gaston Hillar provided a private training first in Mendoza, Argentina and then in Santiago, Chile with 60 developers on the MQTT Protocols on Intel® Joule™ platform. Javier Caceres published an article reviewing artificial intelligence, machine learning, and deep learning documentation for new entrants to these topics.

Martin Foertsch & Thomas Endres showcased their Avatar telepresence system using the Nao* Robot, Oculus* Rift, Intel® RealSense™ camera, and Intel® IoT Gateway as well as Genuino 101* technology at the Javazone Conference. Marco Dal Pino and Massimo Bonanni supported the Intel® IoT Commercial Gateway workshop in Milan. 


Asia Pacific

BEKRAF Day Surabaya: Adrianus Yoza Aprilio talked about updates from Google* I/O including Android*, Android* Things, and Tensorflow and also gave a workshop on Smartcity. Frida Dwi Iswantoro shared how to start game development and created a workshop to build a game prototype.

Frida Dwi Iswantoro held a workshop on virtual reality at the Camp 0274, a 2-day game developer camp. Adam Ardisasmita gave a keynote about VR, workshop how to create a VR game, porting into the Oculus* Rift and also Google* Daydream at IPB IT Today and Google* Developer Group. Achal Shah built a mnist classifer and deploy as a web application. At the Chatbot Roadshow in Medan and Jakarta, Adrianus Yoza Aprilio gave the introduction and spoke on how the intelligence works behind smart chatbots. At the Intel® Commercial IoT Workshop, Avirup Basu focused on commercial and industrial Internet of Things.

As a Google* Women TechMakers Kolkata Chapter Lead, Manisha Biswas, was a speaker and started with basics of machine learning followed with a working demo on TensorFlow using the Intel® AI Cluster at the Technology Awareness Programme organized by the Kolkata section of IEEE.

Mythili Vutukuru published and presented a paper on her libVNF project to develop high performance scalable network functions using a DPDK based network stack. Pablo Farias Navarro’sIntro to VR Development course which covers the development of a simple VR game with Unity had 56 new enrollments and his Virtual Reality Mini-Degree course that covers the development for 15 VR games with Unity had 94 new enrollments.

Pooja Baraskar gave a webinar on IoT Solutions on Microsoft* Azure and also hosted the Intel® Commercial IoT Meetup in Chennai where they introduced gateways to developers. Prajyot Mainkar talked about the Intel® Edison platform at the September Monthly Meetup in Panaji. Sanju Mathew is mentoring 15-year olds through a Neural Networks and AI program that uses 7th grade mathematics to teach the concepts of using relationships between numbers to expose how the concept of artificial neural networks were formed. 

South America

Paulo Gurgel Pinheiro, the CEO of HOOBOX Robotics, was selected to represent Brazil at the University Startup World Cup 2017 in Copenhagen, Denmark. While there, Paulo demoed Wheelie at the High Tech Summit. They were one of 8 finalists selected from 20 countries to participate at the ‘Tesla Pitch Copenhagen’ event. Each finalist got the chance to ride inside a Tesla with Joo Runge, the Head of Investor Relations of HippoCorn, and for the 10-minute ride the finalist had the chance to pitch their ideas to the investor.

At the Hyper VR Conference, Pedro Kayatt hosted a demo area with an HTC* Vive showing how virtual reality can expand from games to industrial training. Pedro showed how VR can be used in industry training at a full day event at Votorantim Demo Day. At EducaSao 360 Pedro had a booth where they showed how VR can make a revolution on the educational field, showcasing their Dinos do Brasil as well as several new projects in this line such as their “Future Lab”. At Semana de Biologia na UFPI, the biggest federal university in the region, Pedro was asked to talk about his Dinos do Brasil project and how we can use technology to aid the spread of paleontologists’ studies.

GDG DevFest Maceai: Nelson Glauber gave a presentation explaining how to get started with Kotlin for Android development and the main differences of Kotlin and Java. Suelen Goularte Carvalho spoke about Android* Instant Apps and Ubiratan Soares gave a talk about testing automation practices for Android apps, using a pragmatic approach guided by a well-suited architecture. 

United States

Anthony Chow presented a demo at the Out of the Box Developer meetup in Santa Clara on gPRC framework to support application to utilize the Cache Allocation Technology of Intel’s RDT.Chris Matthieu introduced his Computes IoT supercomputer project at the Phoenix Mobile Festival and demonstrated how an Arduino 101* could be controlled via a Raspberry* Pi while working on other machine learning computations.

Harsh Verma gave a lightning talk and demo on IoT and pedestrian safety at USDOT workshop. He also organized a joint talk on “What is Data Science and How is it Changing the Workplace” at the ACM Meetup in Sacramento. Harsh is also mentoring at the Sacramento New Technology School and provided a critique on the IoT sensors used and how to improve their applications in robotics.

Justin Lassen worked with the Intel® Software Video team to create the first interview episode of Innovators of Tomorrow. Kosta Popov introduced his Cappasity project at TechCrunch Disrupt SF. Macy Kuang spoke about VR design at GDG Berlin and also hosted the AndroidTO Conference. Nicolas St-Pierre spoke on Pay-as-you-Protect Network Protection: How On-Demand Virtualized Infrastructure Can Enhance Network Security at a joint webinar with Intel, Sandvine and Heavy Reading. As part of the Intel® Commercial IoT Workshops, Paul Langdon built a Gateway using 3 different voice services (Amazon*Alexa SDK, Google* Assistant SDK, and Mycroft) on an Intel® NUC.

Peter Ma posted his Doctor Hazel project on Mesh, it was built out at the TechCrunch Hackathon as an AI that detects skin cancer using Intel Movidius NCS. Received media coverage of the Doctor Hazel project by Mobile Health News and TechCrunch as well. At the O’Reilly AI Conference SanFran DevJam, Peter gave a demo on Joule, RealSense, Walabot, and Intel® Movidius™ Neural Compute Stick (NCS), with a training and basic understanding of AI to everyone around Vehicle Rear Vision. At the Strata Data Conference Peter gave a basic demonstration of how he uses Intel® Xeon Phi™ processor to train the AI and use NCS to display those in real time, showcasing both Vehicle Rear Vision and Doctor Hazel projects.

Rosemarie Day continued to work on the Home Fingerprint project by starting to incorporate cameras to identify when someone has walked into a room, allowing for data to be collected for each person as well as knowing when someone is in the room or not. At the West Hartford Toastmasters meetup, Rose introduced the group to data mining their social media, and at the Commercial IoT Meetup they discussed the Intel® IoT Gateway Technology with voice recognition and IoT automation using Amazon’s* Alexa skills, Google, and MyCroft  ,all on an Intel® NUC or Raspberry* Pi. 


Alejandro Alcade created Hugo Similar posts which computes similar posts for his blog using Sklearn Kmeans. Fabrizio Lapiello did an inspirational session on creating digital products for developers and startups at 012 Academy. He also gave a talk on cloud computing and IoT at meetup in Napoli, explaining different processes and applying them to the creation of pizza; such as temperature control, humidity, water ph check and more. Johnny Chan wrote articles on how to setup Pytorch and Tensorflow with Jupiter Notebook on the Intel® AI Academy cluster for Deep Learning.

Lorenzo Karavania helped to build something focused on benefiting local community, improving the living environment using Arduino 101* and the Intel® IoT Developer Kit at ACM WomENcourage. Marco Spaziani Brunella gave a presentation on networking at the Intel NDZ in San Jose. Matteo Valoriani gave a demo of a mixed reality experience where users can interact with fishes, turtles, and dolphins at Salone Nautica as well as supported the Intel® Commercial IoT Alliance workshop in Milan.

Michel Schloh gave an interview with a journalist of BTCManager answering questions in regards to hardware acceleration of cryptographic signatures, in particular of relevance to cryptocurrency users. Especially related to a hardware design project he’s leading which relates to Intel designs like TinyTILE, integrating Intel® Curie™ platform, which in turn integrates Quark SE, Bosch, and Nordic Semiconductor circuit logic.

Michele Tameni gave a demo on the Intel® IoT Gateway and Genuino 101* at the Intel® Commercial IoT Alliance Workshop. Roberto Diaz Morales research paper, LIBIRWLS: A parallel IRWLS library for full and budgeted SVMs, has been accepted for publication in the international journal “Knowledge-Based Systems”. He also gave an overview of device and cross-device tracking using machine learning detection at the Barcelona TensorFlow Meetup. Salvino Fidacaro spoke at GDG Europe Extended Messina. Vu Pham spoke about AI at the Berlin Machine Learning Meetup. Zayen Chagra posted his Eko System project which is a collection of IoT based products that monitor an environment so that you can spend your time doing other things knowing that the environment is safe and maintained. 


Hongbo Xiao spoke at both IN Time & IoT AI as well as Intel® AI ETE Tech Seminar. WeiHua Liu spoke at VR salon Wuhan 2017. Yaguang Wu spoke at VR solution forum in Shanghai. 


Intel®Student Ambassador Forum and DevJam in San Francisco: Andy Roslaes Elias, Nikhil Murthy, Pallab Paul, Panuwat Janwattanapong, and Srivgnessh Pss gave presentations during the student ambassador forum, took part in a panel formed of student ambassadors and hosted a mini-poster session.

Alfred Ongere gave an interactive, hands-on session at Unravelling Artificial Intelligence. Carlos Paradis created a project called How Devs Mesh?. Chris Barsolai spoke at three university workshops: Intel® Deep Learning SDK Workshop at Taita Taveta University, Intel® AI Day at Kenyatta University, and AI Demystified 2.0 at Multimedia University. Christian Gabor had a meeting with fellow computer science students at OSU to create a machine learning club, and they devised the club objectives, discussed projects and map out a plan to develop applications for the upcoming terms. Daniel Theisges dos Santos submitted two projects: Obstacle Detection and Employee Voluntary Turnover.

David Ojika’s project, Edge Neural Network (ENN), proposes to design and build an AI software and hardware system with real-time inference capabilities for edge applications that exhibit high-speed, massive dataset characteristics wherein communicating with the cloud directly would be impractical or too expensive. Karandeep Singh Dhillon’s Cats vs. Dogs project uses a deep learning binary classification for cat and dogs using tesla k80. Kaustav Tamuly’sBeating Atari using Autoencoder-Augmented NeuroEvolution is based a bit on the popularity from OpenAI beating Deepmind’s Atari AI recently, but is focused on evolutionary/genetic algorithms from a broader learning perspective.

Kshitiz Rimal’s Ka Learn project uses a deep neural network retrained on Inception v3 model using TensorFlow which classifies the Devanagari Alphabet ‘Ka’ from other images or alphabets with 90% accuracy. He also wrote a blog post on Faster AI: a blog series on the tl;dr version of part 1 course on Deep Learning. Kshitiz also gave a brief session on usage and importance of AI in astronomy at the National Academy of Geo & Space Science (NAGSS) workshop on Amateur Astronomy. He gave training on getting stared with deep learning at a 2-day Developer Sessions – Deep Learning Prerequisites Workshop.

Maaz Khan’s SMS Spam Classification project is a basic implementation of bag of words model by normalization of dataset, and then using Naïve Bayes classifier algorithm. Maria Kaglinskaya shared the results of her sea lion counting project and information about Intel optimized Caffe and the Student Ambassador program at the Russian Supercomputing Days conferencePeter Szinger wrote a blog post with an introduction to clustering and the K-means algorithm. Pallab Paul created an application, AI Calorie Counter, which uses machine learning to detect the amount of calories in a user’s food and subtracts that amount from the user’s food log.

Prajjwal Bhargava made Covnets, a digit recognition program using convolutional neural networks. Prajjwal also created some videos which cover the nuts and bolts of deep learning and a blog post on batch normalization. Rashik Kotwal posted his DeepMammo project which discusses CNN and its application in breast tumor classification. Rashik also created a video demo of GUI developed in Python for the ongoing research project at AMIIL. Rouzbeh Asghari Shirvani posted a project for traffic sign classification that will be used as one of the building boxes for self-driving cars. Shaury Baranwal has posted a stock price prediction project. Siddharth Nayak has written the code for a one-wheeled balancing robot as well as created the body of the robot which included manufacturing all of the parts of the chassis.

Soubhik Das is developing a medical diagnostic engine wherein a patient will be told about the steps to undertake at each stage of the disease, including precautions. Srivgnessh Pss created a Deep Learning Facebook page which has over 2000 followers online. Suprabhat Das is working on his project: Carbon Footprint Analysis for a better tomorrow, which will help individual car owners track their emissions and make adjustments to their vehicle or their drives to reduce emissions. Ujjwal Upadhyay’sIdentify Product Category project has trained a model to cover 25 categories of food and beverages in his dataset. Vaibhav Patel posted his project that identifies rice type classification using CNN. Yash Akhauri wrote a blog post updating the progress on his early innovation project Art’Em which explains the beginning phase of his artistic style transfer to virtual reality. Gilbert Kiprotich Kigen spoke at Intel AI Day at Kenyatta University, and also joined Ngesa Marvin in hosting the Intel® Deep Learning SDK Workshop in Kenya.

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? Contact Wendy Boswell on Twitter.

For more complete information about compiler optimizations, see our Optimization Notice.