Wall Street Journal reporter Robert Lee Hotz explores the development of the Apollo Guidance Computer at the MIT Instrumentation Lab. Holtz writes that the computer’s “legacy is in just about every pocket, driveway, home and office. Its descendants helped to remake how the world learns, works, plays, communicates, spends and socializes.”
New York Times reporter Katie Hafner memorializes the life and work of Professor Emeritus Fernando Corbató, known for his work on computer time-sharing systems. Hafner notes that Corbató’s work on “computer time-sharing in the 1960s helped pave the way for the personal computer, as well as the computer password.”
A new AI prediction model developed at MIT could detect breast cancer up to five years in advance. The researchers hope this technique “can also be used to improve detection of other diseases that have similar problems with existing risk models, with far too many gaps and lower degrees of accuracy,” writes Darrell Etherington for TechCrunch.
Wired reporter Elizabeth notes how the ScratchJr programming language, which was developed to help teach children how to code, is being used as part of an effort to teach young children the basics of computer programming.
MIT researchers are developing ways to transform plants into interfaces, reports Katharine Schwab for Fast Company. Schwab explains that the researchers hope to eventually be able to develop “plants that can transfer signals and act almost like a networked computer.”
Gizmodo reporter Victoria Song writes that MIT researchers have developed a new system that can teach a machine how to make pizza by examining a photograph. “The researchers set out to teach machines how to recognize different steps in cooking by dissecting images of pizza for individual ingredients,” Song explains.
Fast Company contributor Charles Fishman explores the late Prof. Charles Draper’s instrumental contributions to making space flight possible, noting that Draper was so committed to his work that he volunteered to train as an astronaut so he could join an Apollo mission. “Space travel wouldn’t have been possible without Draper’s work and that of his group at MIT’s Instrumentation Lab,” writes Fishman.
Popular Mechanics reporter Dave Grossman writes that MIT researchers are “utilizing plants' natural abilities of sensory detection and attempting to co-join them with modern tech.”
Using a tactile sensor and web camera, MIT researchers developed an AI system that allows robots to predict what something feels like just by looking at it, reports David Williams for CNN. “This technology could be used to help robots figure out the best way to hold an object just by looking at it,” explains Williams.
Forbes contributor Charles Towers-Clark explores how CSAIL researchers have developed a database of tactile and visual information that could be used to allow robots to infer how different objects look and feel. “This breakthrough could lead to far more sensitive and practical robotic arms that could improve any number of delicate or mission-critical operations,” Towers-Clark writes.
MIT researchers have created a new system that enables robots to identify objects using tactile information, reports Darrell Etherington for TechCrunch. “This type of AI also could be used to help robots operate more efficiently and effectively in low-light environments without requiring advanced sensors,” Etherington explains.
Fast Company reporter Michael Grothaus writes that CSAIL researchers have developed a new system that allows robots to determine what objects look like by touching them. “The breakthrough could ultimately help robots become better at manipulating objects,” Grothaus explains.
In an article for Fast Company, Charles Fishman explores how MIT researchers pioneered the use of integrated circuits, technology that is an integral component of today’s digital technologies, in the Apollo 11 computer. “MIT, NASA, and the race to the Moon laid the very foundation of the digital revolution, of the world we all live in,” writes Fishman.
Gizmodo reporter Andrew Liszewski writes that MIT researchers have created an algorithm that can automatically fix warped faces in wide-angle shots without impacting the rest of the photo. Liszewski writes that the tool could “be integrated into a camera app and applied to wide angle photos on the fly as the algorithm is fast enough on modern smartphones to provide almost immediate results.”
Writing for Fast Company, Charles Fishman explores how MIT researchers developed the computer that helped enable the Apollo 11 moon landing. Fishman notes that the computer was “the smallest, fastest, most nimble, and most reliable computer ever created,” adding that it became “so indispensable that some at MIT and NASA called it ‘the fourth crew member.’”