Intel® Software Innovator Program Home
Using Intel® AI technologies, Rose Day presented a creative solution that uses AI to measure how the earth's forests are changing over time.
Intel® Software Innovators Tim and Alex Porter demonstrate their Volumation platform that captures and optimizes images in a one-click process. The result is 3D animated images of any object for entertainment with increased realism and immersion.
Innovators of Tomorrow is a monthly feature that focuses on developers in our Intel® Software Innovator program. In this episode, we talk to Corey Warning and Will Lewis from Rose City Games in Portland, Oregon. Their new game in development, The World Next Door, is a narrative-driven, action-adventure game inspired by the emotional storytelling and thrilling action of both anime and indie games.
Select innovators had the opportunity to travel to San Francisco and demonstrate their work at Intel’s premier AI event, Intel® AI DevCon. This event brought together top minds in data science, machine and deep learning, and more.
Marcus Meler shares tips and tricks on perfecting the virtual reality process. One important aspect is to create modular concepts, which can be reused in different applications.
Innovators Martin Kalisz and Cristiano Siqueira test the limits of real-time graphics, using photorealistic, photo-scanned natural environments made with 4K and 8K native assets.
A thirst for knowledge and a determined drive are two crucial characteristics motivating Tejumade Afonja. See how she is using AI to make a big difference in Nigeria by building up the AI community through her AI Saturdays Lagos Workshops.
Imagine the state-of-the-art technology and AI that is needed to maintain a high quality of living on a spacecraft for a 300-day journey to Mars. In his first part of a three-part series, Justin Shenk covers how computer vision and AI can be implemented to increase quality of life in space.
Eight Intel Software Innovator teams compete to create a commercial VR application. To develop their VR applications, participating teams use the new Intel® NUC 8 VR, which is powered by an Intel® Core™ i7 processor with Radeon™ RX Vega M Graphics.
Ven Locklear outlines how to conceptualize, gather references, sketch, and finalize a concept or illustration, with a focus on efficiency and speed for digital painting. He details ways that anyone can use SketchUp* and various tools in Photoshop* to complement or speed up the entire digital painting process.
Jarrett discusses his four-part process to create 3D assets from concept to implementation. This process considers overall functionality while demonstrating how anyone at any skill level can use digital tools to save time and frustration.
By allowing machines to learn, reason, act, and adapt in the real world, artificial intelligence and machine learning help businesses unlock deeper levels of knowledge and insights. Learn how the Intel® Movidius™ Neural Compute Stick lets you develop deep learning inference applications at the edge.
Developers, hobbyists, and enthusiasts came together to catch up on the state of AR and VR in the industry in Orlando. Over 50 people from the community were able to network and view a demonstration of one of the community’s very own projects: Virtual Battlegrounds.
Cristiano Siqueira uses the powerful gaming engine Unreal Engine* 4, the Vulkan* API, and the multicores in an Intel® Core™ i9+ processor to demonstrate the true extent of what can be done with real-time graphics.
Marc Potocnik presents his latest and greatest animation work created at his studio, renderbaron. With a focus on shading, lighting, and rendering to create 3D visualizations for Cinema 4D*, his approach uses local illumination only. This gives him absolute control over every lighting parameter and speeds up rendering of animations in his CPU-based pipeline.
As a cost-effective approach for monitoring warehouses, Shriram KV uses quadcopters to enhance efficiency. A lot of inventory loss involves inefficient, manual monitoring techniques. An affordable, accurate, and viable option is using a drone to fly inside a warehouse to track goods, provide updates, and eliminate the chance for lost inventory.
Using an existing image recognition model, Innovator Paul Langdon built a secondary seed library that extends a bird classifier. It results in a more specific model for identifying specific bird species. The methodology easily adapts to any subclassification scenario. It also provides automation for model training while collecting field data at the edge using the AWS DeepLens* machine learning platform with AWS Greengrass* and SageMaker.
Innovator Mark Stumbris is seeking collaborators to help incorporate VR and AI into this educational, open source game that makes you question war and socioeconomic standards. In this game, conflict erupts between Jupiter’s moons, Io, and Europa, as trade agreements and closer orbits bring them together in ways that are volatile to their environments.
Paul Langdon shows you how to build your own machine learning developer toolkit with the Intel® NUC and AWS* DeepLens. The project demonstrates the hardware setup and the installation of your first training model to implement computer vision at the edge.
Do you have what it takes to survive in this apocalyptic landscape and be the best at it? Pablo Farias Navarro created Killing Zombies with Friends, which is a local multiplayer game where players share the same VR headset.