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This two-day, online conference provided a platform for IoT developers all around the world to connect, learn, and grow. In addition to the talks, it offered one-on-one mentoring sessions with experts and a question-and-answer forum. The 46 talks from IoT experts and innovators are available for replay, now.
Intel® Software Innovator Manisha Biswas started a women in technology movement in Kolkata. Seeing a need to support women who learn new technologies, she provided a platform for them to speak up, build confidence, and enhance technological skills. The events feature female experts and Intel® Software Innovators who speak on open-source and Intel technologies.
Android* application developer and Intel Software Innovator Arturo Jamaica explains why he is interested in mobile apps and discusses his current work. Based in Mexico, he was one of our top Intel Software Innovators in 2016.
Experience what it's like to be Spider-Man! Intel Software Innovator Justin Lassen is working with Sony Pictures Virtual Reality and Create VR on a cool new virtual experience for the upcoming movie. Justin directed all audio, sound effects, ambiance, sound design, music, dialogue, editing, and spatialization.
Intel's Google I/O Day Zero Party is a “can't miss” developer networking event traditionally held the night before Google I/O in May. Intel Software Innovators were at this event with innovative demos focused on aftermarket automotive applications, virtual reality, augmented reality, artificial intelligence, and IoT.
Rendra Toro shares how he went from playing with microcontrollers as a kid, studying mechatronics in college, to working with IoT and machine learning today. As chief technology officer of Dirakit, Rendra is continuously working to train and influence the technology community in Indonesia.
Andre Carlucci has a passion for open-source projects and agile methodologies. He recently expanded the features on his SharpSenses project to help C# programmers easily interact with the Intel® RealSense™ cameras and he just launched his latest project, Smart Mirror.
As someone who has been programming for 50 years, Jim Dempsey has seen it all. Jim is a valuable resource through his contributions to the Intel® Developer Zone, but his hobbies lay in making space elevator technology a reality.
Innovators are creative types by default and being a part of this community creates a natural pool of peers to network and collaborate on projects with. This post provides some great personal examples of working with people who know their stuff and are willing to take risks to bring it to the next level.
Underminer Studios has created a step-by-step guide to use their Mixed Reality Configurator Tool. Learn how to calibrate your experience to have the cleanest and most accurate configuration possible to make mixed-reality green-screen videos.
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Intel® Black Belt Software Developer Abhishek Nandy recaps the first IoT Retail Workshop held in Bangalore in early June. Raghavendra Ural led the event with support from Abhishek and Intel Software Innovators Sourav Lahoti and Pooja Baraskar. Representatives from several start-up companies attended the workshop, which highlighted how to use Intel® architecture in IoT retail.
After getting a client's request to create a car-racing game with a motion simulator, Intel® Software Innovator Firmansyah Saftari had to do some research and learn new skills. He started with a 3-D printed scaled model prototype, designed and configured everything, and then built it from scratch in two months. The final result is a virtual reality motion simulator that looks very fun to test drive.
Intel Software Innovator Gokula Krishnan Santhanam explains everything you want to know about deep learning frameworks. A part of the Indian Deep Learning Initiative Webinar Series, this session walks you through various frameworks, explaining how to create your own.
Ngesa Marvin’s project collects images from the Google Earth* mapping service and wind data, and then uses AI to predict the location of water hyacinth, an invasive weed. He plans to use the technology to eradicate the weed from Kenya’s Lake Victoria—one of many strategies he has for helping his community and its environment.
Explore the International Space Station like only astronauts have. Justin Link developed this experience for the Kennedy Space Center, allowing you to see what it is like to take a spacewalk with a NASA astronaut guide. Learn about each part of the International Space Station and the role it will play in the future of space exploration.
While biometrics have become a vital part of user authentication in technological platforms they can be cost prohibitive for many. Ritik Patnaik developed a low-cost alternative using an Intel® Edison board, a near-infrared (NIR) camera, and a low-power NIR LED array. He placed second in the system software category at Intel’s International Science and Engineering Fair (ISEF) for high school students.
Stellar is a software platform for controlling hundreds of thousands of LED lights. Eskil Steenburg has developed Stellar to let you design and map complex lighting setups in full 3D with a high precision of control.
Unlike costly fitness devices that offer only heart rate tracking, Hrydyalysis offers an overall pathological analysis of heart activity similar to an ECG. Rupam Das has designed a device to quickly capture, analyze, and then provide a comprehensive report to the user.
The use of camera traps is common in wildlife research, but has drawbacks as the image metadata is often inaccessible. Andy Rosales Elias explores how to use the K-Nearest Neighbor algorithm to detect time, date, and temperature values—increasing the relevant data available to wildlife researchers.
Gaston Hillar recently published a step-by-step guide to help you gain a deep understanding of the lightweight MQTT protocol. Get the best practices and see examples on different kinds of IoT applications.
This project from student ambassador, Ramy Mounir, seeks to help people with speech impediments by designing a more accurate speech-to-text application using a deep bi-directional recurrent neural network to achieve state-of-the-art performance.
Daniel Whitenack’s project will result in a deep learning inference engine for Go, powered by Intel’s C++ inference engine, which is part of the Deep Learning SDK. The project will start with a focus on image classification and expanding the functionality over time.