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A team of researchers from MIT and Princeton participating in the Amazon Robotics Challenge are using GelSight technology to give robots a sense of touch, reports Tom Simonite for Wired. Simonite explains that the, “rubbery membranes on the robot’s fingers are tracked from the inside by tiny cameras as they are deformed by objects it touches.”
In this video for USA Today, Sean Dowling highlights Pic2Recipe, the artificial intelligence system developed by CSAIL researchers that can predict recipes based off images of food. The researchers hope the app could one day be used to help, “people track daily nutrition by seeing what’s in their food.”
MIT researchers have developed a new way to grow liver tissue, writes Jamie Ducharme for Boston Magazine. “These minuscule structures expanded to 50 times their starting size,” Ducharme explains, “and performed normal liver functions like metabolism regulation, bile production, and detoxification.”
Researchers at MIT have developed an algorithm that can identify recipes based on a photo, writes BBC News reporter Zoe Kleinman. The algorithm, which was trained using a database of over one million photos, could be developed to show “how a food is prepared and could also be adapted to provide nutritional information,” writes Kleinman.
MIT researchers have engineered an expandable liver from human liver cells that can grow up to 50 times its original size, reports Lindsay Kalter for the Boston Herald. In the future, the researchers would like to make the expandable livers smarter, “by embedding sensors in them to tell us how they are doing,” explains Prof. Sangeeta Bhatia.
MIT researchers have developed a new machine learning algorithm that can look at photos of food and suggest a recipe to create the pictured dish, reports Matt Reynolds for New Scientist. Reynolds explains that, “eventually people could use an improved version of the algorithm to help them track their diet throughout the day.”
CSAIL researchers have trained an AI system to look at images of food, predict the ingredients used, and even suggest recipes, writes Matt Burgess for Wired. The system could also analyze meals to determine their nutritional value or “manipulate an existing recipe to be healthier or to conform to certain dietary restrictions," explains graduate student Nick Hynes.
MIT researchers have developed a new way to engineer liver tissue that involves implanting tiny “seeds” of liver tissue, which expand to perform normal liver functions, reports Robert Preidt for U.S. News & World Report. The technique could one day “help reduce long wait lists for liver transplants.”
CBS This Morning’s Dana Jacobson explores how MIT researchers are developing technology to enable robots to assist with disaster response, including a robotic cheetah and a system that 3-D prints robots. Prof. Russ Tedrake says that, “there's a natural transition from the robots in the labs now into the robots doing meaningful work.”
CSAIL researchers have developed drones that can drive and fly through a city-like setting, reports Gareth Mitchell for BBC News. The goal for this research is to have the vehicles “coordinate with each other and make intelligent decisions when they fly and drive,” says graduate student Brandon Araki.
FOX News reporter Grace Williams writes that MIT researchers have developed a new system to assist people with visual impairments in navigating their surroundings. “We wanted to primarily complement the white cane to allow users with visual impairments to quickly assess their environment in a contactless manner,” explains graduate student Robert Katzschmann.
New Scientist reporter Evelyn Wang writes that a study by MIT researchers finds that, “the question of whether a scrambled Rubik’s cube of any size can be solved in a given number of moves is what’s called NP-complete – that’s maths lingo for a problem even mathematicians find hard to solve.”
Wired reporter Matt Simon writes that CSAIL researchers have developed a system of drones that can successfully fly and drive through a city-like setting. Simon explains that the framework is a good step, “toward imagining a transportation infrastructure that works in three dimensions, not just two.”
MIT recently piloted a full-credit online course for residential students, reports Nick Roll for Inside Higher Ed. Roll writes that, “a recently released study of the class found students not only performed well but also…reported feeling less stress and having more flexibility.”
Prof. Daniela Rus and graduate student Robert Katzschmann speak with BBC reporter Gareth Mitchell about the device they developed to help the visually impaired navigate. Rus explains that they applied the technologies used for autonomous driving to develop a system that can, “guide a visually impaired person in the same way a suite of sensors can guide a self-driving car.”