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Gaming

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  • Artificial Intelligence
  • Gears

Introducing Project Gameface: A Hands-Free, AI-Powered Gaming Mouse

Project Gameface is a new open-source hands-free gaming mouse that enables people to control a computer’s cursor using their head movement and facial gestures. People can raise their eyebrows to click and drag, or open their mouth to move the cursor, making it possible for anyone to pursue gaming. The project was inspired by the story of quadriplegic video game streamer Lance Carr, who lives with muscular dystrophy, a progressive disease that weakens muscles. Lance refused to let his physical limitations keep him from his love of gaming, so he used a head-tracking mouse to control his cursor. In 2021, Lance’s…
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  • Technology

3 Questions: Teaching Computational Maker Skills Through Gaming

The early stages of teaching maker skills, such as digital fabrication, typically involve simple exercises like laser cutting or 3D printing basic shapes and objects. In our hyperconnected, hyperstimulated world, this learning activity can feel a bit underwhelming — a sentiment that caused Dishita Turakhia, an MIT PhD student in electrical engineering and computer science and an affiliate of the Computer Science and Artificial Intelligence Laboratory (CSAIL), to re-imagine the learning pipeline in the pursuit of keeping students interested, inspired, and empowered. Together with colleagues including MIT Professor Stefanie Mueller, Turakhia has since developed a new system to teach computational…
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  • Machine Learning

Using Integrated ML To Deliver Low-latency Mobile VR Graphics

What it is: A new low-latency, power-efficient framework for running machine learning in the rendering pipeline for standalone VR devices that use mobile chipsets. This architecture makes it possible to use ML on these devices to significantly improve image quality and video rendering. We have created a sample application under this framework to reconstruct higher-resolution rendering (known as super-resolution) to improve VR graphics fidelity on a mobile chipset with minimal compute resources. This new framework can also be used to perform compression artifact removal for streaming content, frame prediction, feature analysis, and feedback for guided foveated rendering. How it works:…
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