School of Science

A new learning program developed by researchers from MIT, NYU and the University of Toronto imitates the way humans learn, according to EFE. The researchers aim to “reduce the difference in learning capability between humans and machines.”

Researchers from MIT, NYU and the University of Toronto have created a learning program that can grasp new concepts just like humans do, reports Will Dunham for Reuters. “Judges found the work produced by the computers to be virtually indistinguishable from that of human subjects,” explains Dunham. 

A new advance in machine learning allows a computer program to recognize and draw handwritten characters based off a few examples, reports John Markoff for The New York Times.  Markoff explains that the “improvements are noteworthy because so-called machine-vision systems are becoming commonplace in many aspects of life.”

Joel Achenbach reports for The Washington Post on the new program developed by researchers from MIT, NYU and the University of Toronto that can learn by example, a characteristic of human learning. Prof. Joshua Tenenbaum explains that the new system has made “a significant advance in capturing the way that people are thinking about these concepts.”

Los Angeles Times reporter Amina Khan writes that researchers have developed a program that learns to recognize and draw handwritten characters based off a few examples. Prof. Joshua Tenenbaum explains that the system, “can learn a large class of visual concepts in ways that are hard to distinguish from human learners.” 

Hilary Brueck writes for Fortune that researchers from MIT, NYU and the University of Toronto have developed a new technique that allows machines to learn in a more human-like manner. The new technique “comes one step closer to getting machines to learn new things in a one-shot manner, more like humans do.”

Researchers have developed a learning program that can recognize handwritten characters after seeing only a few examples, reports Emily Chung for CBC News. The program “could lead to computers that are much better at speech recognition — especially recognizing uncommon words — or classifying objects and behaviour for businesses or the military.”

BBC News reporter Michelle Roberts writes that MIT researchers have fine-tuned the CRISPR-Cas9 genome editing system to make it safer and more accurate. This development is "vital if it [CRISPR] is to be used in humans to cure inherited diseases or inborn errors,” explains Roberts. 

Postdoctoral fellow Steve Ramirez speaks with Bob Seay, host of WGBH’s Morning Edition, about his work with memory manipulation, which could be helpful for patients with PTSD or Alzheimer’s. Ramirex explains that his research shows the proof of principle “that we can go in and isolate one memory in the brain.”

Erica Klarreich writes for Quanta Magazine about how researchers have solved a 50-year-old math problem posed by MIT Prof. Emeritus Isadore Singer and his colleague Prof. Richard Kadison. The Kadison-Singer problem asked “how much it is possible to learn about a 'state' of a quantum system if you have complete information about that state in a special subsystem.”

Prof. Noelle Selin discusses the impact on air pollution caused by Volkwagen’s cheating on vehicle emissions tests in an episode of Inside Higher Education’s Academic Minute radio program. Selin explains that, “pollution from U.S. cars and power plants causes substantial damages every day. This remains a problem to be solved.”

MIT researchers have determined that the Earth’s geomagnetic field will not flip in the near future, reports Felicia Gans for The Boston Globe. While the intensity of the Earth’s geomagnetic field is decreasing, the current level is “double the planet’s average intensity over the past 5 million years.”

Prof. Thomas Levenson writes for The Boston Globe about the MRI Prof. Rebecca Saxe’s created of herself and her infant son. “Art does many things, but certainly one of them is to give us images that confront us with shards of the strange experience of being human,” writes Levenson. “Science, an artful craft, can do the same — as it does here.”

Prof. Sara Seager speaks with Robin Wilson of The Chronicle of Higher Education for a piece about what it’s like to be a female astronomer. Seager explains that MIT is one of few places where she isn’t treated differently because she’s female. "I don’t think about my gender while I’m here,” she says. 

Prof. Rebecca Saxe writes for Smithsonian about an MRI she created of herself and her infant son. Saxe writes that while maternal values are "venerated, they are usually viewed in opposition to other values: inquiry and intellect, progress and power. But I am a neuroscientist, and I worked to create this image; and I am also the mother in it.”