CSAIL researchers have developed an artificial neural network that generates recipes from pictures of food, reports Laurel Dalrymple for NPR. The researchers input recipes into an AI system, which learned patterns “connections between the ingredients in the recipes and the photos of food,” explains Dalrymple.
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.”
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 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.
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.”
The Economist reviews Prof. Erik Brynjolfsson and Principal Research Scientist Andrew McAfee’s latest book, which examines how new digital technologies will impact businesses. Brynjolfsson and McAfee, “believe that the latest phase of computers and the internet have created three shifts in how work happens.”
Forbes reporter Kevin Murnane writes about how MIT researchers have used a computer vision system to examine how several American cities physically improved or deteriorated over time. Murnane writes that the study “provides important support for nuanced versions of traditional theories about why urban neighborhoods change over time.”
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.
UPI reporter Amy Wallace writes that MIT researchers have applied a computer vision system to help quantify the physical improvement of American neighborhoods. The researchers found that “density of highly educated residents, proximity to central business districts and other attractive areas, and the initial safety score assigned by the computer system are strongly related to improvements.”
Randall Stross of The Wall Street Journal examines the latest book by Prof. Erik Brynjolfsson and Principal Research Scientist Andrew McAfee, which explores technologies shaping the future of business. Stross writes that the, “authors present a splendid tutorial on things that are too new for most civilians to have gained a good understanding of—cryptocurrencies like Bitcoin, distributed ledgers, and smart contracts.”
In an article for Bloomberg, Peter Coy examines Prof. Erik Brynjolfsson and Principal Research Scientist Andrew McAfee’s latest book, which examines how smart machines might be integrated into the businesses of the future. Coy explains that the book is written for, “executives and entrepreneurs trying to make their way in this brave new world of driverless cars and hackathons.”
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.”
Prof. Erik Brynjolfsson and Principal Research Scientist Andrew McAfee speak with Tom Ashbrook of On Point about their new book, “Machine, Platform, Crowd.” Speaking about how much decision-making machines could be handling in the future, Brynjolfsson explains that “instead of having us humans try to tell the machines exactly what needs to be done, machines are learning on their own.”
Financial Times reporter John Thornhill writes about Prof. Erik Brynjolfsson and Principal Research Scientist Andrew McAfee’s latest book, “Machine, Platform, Crowd.” Thornhill writes that the book is “a clear and crisply written account of machine intelligence, big data and the sharing economy.”