Wall Street Journal reporter Frank Rose reviews Prof. Max Tegmark’s new book, “Life 3.0: Being Human in the Age of Artificial Intelligence.” The book asks reader to ponder the possibility that “a computer program will become not just intelligent but wildly so—and that we humans will find ourselves unable to do anything about it.”
Two new papers from CSAIL researchers “aim to help doctors make better use of the digital information they’re presented with,” writes Adi Gaskell for The Huffington Post. One examines a tool that uses ICU data to choose the best treatment option based on a range of symptoms, while the other facilitates “predictive models based upon an electronic health record system.”
Prof. Max Tegmark speaks to Ian Sample of The Guardian about the likelihood of creating superintelligent AI. “From my perspective as a physicist, intelligence is simply a kind of information processing formed by elementary particles moving around, and there’s no law of physics that says we can’t build machines more intelligent than us,” says Prof. Tegmark.
Renée Richardson Gosline, a senior lecturer in the Sloan School of Management, writes for WBUR’s Cognoscenti about whether it is a good idea to integrate artificial intelligence in all aspects of the online shopping experience. People often “outsource decisions and tasks to technology based on the assumption that it will improve your performance,” explains Gosline.
An algorithm developed by Prof. Iyad Rahwan and graduate student Bjarke Felbo has been trained to detect sarcasm in tweets that use emojis, writes Josh Lowe for Newsweek. After reading over 1 billion tweets with emojis, the algorithm predicted, “which emoji would be associated with a given tweet based on its emotional tone,” explains Lowe.
Wired reporter Liz Stinson writes that researchers from MIT and Google have developed a new algorithm that can automatically retouch images on a mobile phone. “The neural network identifies exactly how to make it look better—increase contrast a smidge, tone down brightness, whatever—and apply the changes in under 20 milliseconds,” Stinson explains.
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.