What if you could watch a robot work and, with a simple hand movement, stop it before it made a mistake? That’s the promise of new research from MIT’s Computer Science and Artificial Intelligence Laboratory.The post MIT researchers develop a robot system controlled by brainwaves appeared first on Digital Trends.
Developed by researchers at MIT's Computer Science and Artificial Intelligence Laboratory, the MapLite self-driving system is designed to successfully navigate unpaved roads by using basic GPS data and sensors technology.The post No map, no problem: MIT’s self-driving system takes on unpaved roads appeared first on Digital Trends.
Developed by researchers at MIT's Computer Science and Artificial Intelligence Laboratory, the MapLite self-driving system is designed to successfully navigate unpaved roads by using basic GPS data and sensors technology.The post No map, no problem: MIT’s self-driving system takes on unpaved roads appeared first on Digital Trends.
Even in the 21st century, documenting marine life still proves to be challenging. But engineers at MIT hope to have a solution with a soft robotic fish, which they say can get closer to real fish by imitating their behavior.The post MIT’s ocean-exploring robotic fish takes a test swim through a Fiji reef appeared first on Digital Trends.
Researchers at MIT have developed a smart new camera system that uses almost invisible information about light reflections to detect objects around corners -- and all in real time, too.The post MIT camera can ‘see’ around corners by analyzing nearly invisible shadows appeared first on Digital Trends.
Hardware for glasses-free TV already exists, but a new AI program will create more compatible content through software conversion. New research converts existing 3D content to a format compatible with glasses-free 3D TVs.The post Research suggests glasses-free 3D videos could be coming soon to home TVs appeared first on Digital Trends.
Engineers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed a wearable they say can predict the mood of its wearer by analyzing speech patterns and physiological signs.The post How does it make you feel? Wearable system predicts wearer’s mood appeared first on Digital Trends.
Engineers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed a wearable they say can predict the mood of its wearer by analyzing speech patterns and physiological signs.The post How does it make you feel? Wearable system predicts wearer’s mood appeared first on Digital Trends.
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