Wall Street Journal reporter Ryan Dezember writes about Thasos Group, a company co-founded by Prof. Alex “Sandy” Pentland that aims to “paint detailed pictures of the ebb and flow of people, and thus their money” by gathering anonymous data about people’s activities through their smartphone usage.
Motherboard reporter Daniel Oberhaus writes that MIT researchers have developed an AI system that can generate theories about the physical laws of imaginary universes. Oberhaus writes that in the future the system could be used to help understand “massively complex datasets, such as those used in climate modeling or economics.”
MIT researchers have developed a language translation model that operates without human annotations and guidance, reports Liangyu for Xinhua news agency. The system, which may enable computer-based translations of the thousands of languages spoken worldwide, is “a step toward one of the major goals of machine translation, which is fully unsupervised word alignment,” Liangyu explains.
MIT researchers have developed a new technique to store information using lasers, reports Meriame Berboucha for Forbes. “By using pulses of light, a material can be flipped from one state to another and return to its original state,” Berboucha explains. “As a result, a wave of new-generation data storage devices could be in our homes and workplaces very soon.”
Tom Loftus of The Wall Street Journal highlights a study co-authored by MIT Prof. Maryam Farboodi that finds big data plays an important role in raising capital from investors and could contribute to the growing divide between large and small companies.
Popular Science reporter Rob Verger highlights how an MIT spinout and MIT researchers are developing tools to detect depression. “The big vision is that you have a system that can digest organic, natural conversations, and interactions, and be able to make some conclusion about a person’s well-being,” says grad student Tuka Alhanai.
In this video, Reuters reporter Matthew Stock explores how researchers at the MIT Senseable City Lab are using big data to help make crowded cities better places to live. Stock explains that researchers hope to use anonymous data to improve public infrastructure and living spaces to “make the metropolis fit for future generations.”
Prof. Tim Berners-Lee has created a new technology aimed at allowing people more control over their online data, reports the BBC News. Berners-Lee felt that the “current model of handing over lots of data to many different online services did not serve people well,” the BBC explains.
MIT researchers have developed neural networks that can recognize speech patterns that are indicative of depression, writes Anna Powers for Forbes. “Because the model is generalized and does not rely on specific questions to be asked,” explains Powers, “the hope is that this model can be implemented into mobile apps that will allow people to detect depression through natural conversation.”
MIT researchers have developed a model that can help detect depression by analyzing an individual’s speech patterns, reports Kaveh Waddell for Axios. Waddell explains that the researchers, “trained an AI system using 142 recorded conversations to assess whether a person is depressed and, if so, how severely.”
MIT researchers have developed a new system that can detect depression by examining a patient’s speech and writing, reports John Biggs for TechCrunch. Biggs writes that the system could “help real therapists find and isolate issues automatically versus the long process of analysis. It’s a fascinating step forward in mental health.”
Researchers from MIT and Harvard studied how climate change could affect food inspections, traffic accidents and police stops, and found that rising temperatures could reduce safety, reports Susan Scutti for CNN. Research scientist Nick Obradovich explains that he hopes the findings can be used to “adapt or to fix things that might go wrong under a changing climate."
Catalog, an MIT startup that creates systems to store data on synthetic DNA molecules, hopes to make a commercial DNA storage product in the next year, reports Hiawatha Bray for The Boston Globe. Using this new form of data storage, “can shrink down entire data centers into shoeboxes of DNA,” says former MIT postdoc and Catalog CEO Hyunjun Park.
Megan Molteni of Wired writes that data storage company, Catalog, an MIT spinout that is working on using DNA to store data. Molteni explains that at Catalog, “they’re building a machine that will write a terabyte of data a day, using 500 trillion molecules of DNA.”
Justin Chen of STAT writes that Biobot Analytics, which was founded by former MIT researchers, is measuring traces of drugs in sewers in an attempt to detect emerging public health threats. The technology could “first pinpoint communities that need interventions, like substance abuse programs, and later measure the success of those programs in lowering drug use,” explains Chen.