3 Questions: Teaching computational maker skills through gaming
With FabO, PhD student Dishita Turakhia wants to empower students to learn digital fabrication by making video game objects and characters come alive.
With FabO, PhD student Dishita Turakhia wants to empower students to learn digital fabrication by making video game objects and characters come alive.
This robotic system uses radio frequency signals, computer vision, and complex reasoning to efficiently find items hidden under a pile.
MIT scientists unveil the first open-source simulation engine capable of constructing realistic environments for deployable training and testing of autonomous vehicles.
A new technique in computer vision may enhance our three-dimensional understanding of two-dimensional images.
The new design is stackable and reconfigurable, for swapping out and building on existing sensors and neural network processors.
Recent MEng graduates reflect on their application-focused research as affiliates of the MIT-IBM Watson AI Lab.
A new neural network approach captures the characteristics of a physical system’s dynamic motion from video, regardless of rendering configuration or image differences.
MIT CSAIL scientists created an algorithm to solve one of the hardest tasks in computer vision: assigning a label to every pixel in the world, without human supervision.
For the MIT Schwarzman College of Computing dean, bringing disciplines together is the best way to address challenges and opportunities posed by rapid advancements in computing.
Associate professor and principal investigator with the MIT Schwarzman College of Computing’s Science Hub discusses the future of robotics and the importance of industry-academia collaborations.
“Privid” could help officials gather secure public health data or enable transportation departments to monitor the density and flow of pedestrians, without learning personal information about people.
The computer-vision technique behind these maps could help avoid contrail production, reducing aviation’s climate impact.
MEng graduate students engage with IBM to develop their research skills and solutions to real-world problems.
Researchers find similarities between how some computer-vision systems process images and how humans see out of the corners of our eyes.
Researchers surveyed 100 high-performing companies to determine which of them are leading adopters of machine intelligence and data analytics, and how they succeed.