Intel® Software Innovator Program Home
The founders of Underminer Studios are specialists in creating animated 3D images using volumetric capture to achieve new levels of realism and immersion in games.
Geeta Chauhan's projects include using AI-driven cloud computing, blockchain, and other technologies to run decentralized applications for IoT and Web 3.0.
Amélie Rolland’s work focuses on using the latest AI technology to solve global problems such as therapeutic drug discovery and treating contaminated soil and water.
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.
Stacy Devino is a frequent speaker on Android operating systems and a member of a Google Developer Groups advisory council. In this interview, Stacy talks about her career, current projects, and the most challenging technology she's worked with.
Adrianus Yoza Aprilio has been exposed to technology since his youth. In this interview, learn how he uses his skills to encourage and promote IoT and developer communities throughout Indonesia.
David Ojika has a broad spectrum of AI development interests including deep learning platforms, architectures for large-scale, distributed data analytics, and making AI more accessible.
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.