Code developed by Margaret Hamilton, who led the development of the onboard flight software for the Apollo missions at the MIT Instrumentation Lab, was “good — so good, in fact, that it very well might have saved the entire Apollo 11 mission,” writes Dylan Matthews for Vox.
Writing for Forbes, Prof. David Mindell examines how the operation and implementation of the Apollo 11 flight software provides crucial lessons for driverless vehicles. “Testing, software controls, and risk analyses have the problem of embedding our imagination of what’s likely to happen,” writes Mindell.
Washington Post reporter Martin Weil spotlights the work of Prof. Fernando Corbató, who “drastically expanded the usefulness of the computer and put its benefits at the reach of all.” Weil notes that Corbató, who died on July 12, “fostered the digital revolution by developing shared computer operating systems and also put his stamp on daily life by introducing the computer password.”
Writing for The Boston Globe, Shirley Leung spotlights the thousands of women who helped make the Apollo 11 mission a success, including Margaret Hamilton and Saydean Zeldin of the MIT Instrumentation Lab. Zeldin, who worked on the program responsible for turning the command module’s engines on and off, recalls that she “had to formulate the equations that we were going to code.”
CBS News reporter Norah O’Donnell explores how Margaret Hamilton, who led the development of the onboard flight software for the Apollo missions, was “critical to the success of the Apollo 11 mission.” Hamilton explains that, “It was the first time man walked on the moon and the first time software ran on the moon.”
Prof. Emeritus Fernando Corbató, a computer pioneer known for his work with time-sharing computing systems and for inventing the computer password, has died at 93, reports the BBC. “Our world would be very different without his research and that of his descendants,” said Prof. Fadel Adib. “He inspires in his work and his legacy."
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.