Research affiliate Tim Hwang speaks with Aaron Mak of Slate about whether Google is suppressing conservative media outlets in search results. “I don’t think the question is whether or not it’s biased. All these systems embed some kind of bias,” explains Hwang. “The question is: Do we have transparency to how some of these decisions are being made?”
TechRepublic reporter Nick Heath writes about Julia 1.0, a programming language created by MIT researchers. “The breadth of Julia's capabilities and ability to spread workloads across hundreds of thousands of processing cores have led to its use for everything from machine learning to large-scale supercomputer simulation,” writes Heath.
Fast Company reporter Mark Wilson writes that MIT researchers have developed a new tool for computer-aided drafting software that can optimize the design for any product. Wilson explains that the tool could “help designers optimize their existing processes–and, crucially, deconstruct what works and what doesn’t, sooner.”
Engadget reporter Jon Fingas writes that MIT researchers have developed an encryption method that can secure sensitive data in neural networks without slowing machine learning systems. The method, notes Fingas, could “lead to more uses of internet-based neural networks for handling vital info, rather than forcing companies and institutions to either build expensive local equivalents or forget AI-based systems altogether.”
In an article for Forbes, AgeLab Director Joseph Coughlin writes about the physical and emotional impacts of social isolation and loneliness. Coughlin stresses the importance of “developing new solutions for our modern epidemic of social disconnectedness -- whether they are new technologies, community initiatives, forward-thinking policies, or just plain increased awareness.”
Writing for The New York Times, Prof. Sherry Turkle argues that machines will never be able to replace humans as compassionate companions. “Machines have not known the arc of a human life. They feel nothing of the human loss or love we describe to them,” writes Turkle. “Their conversations about life occupy the realm of the as-if.”
In an article for Forbes about how AI could improve healthcare, Bernard Marr highlights an algorithm developed by MIT researchers that can analyze 3-D scans up to 1,000 times faster than is currently possible. “When saving minutes can mean saving lives, AI and machine learning can be transformative,” writes Marr.
At the International Conference on Machine Learning, MIT researchers demonstrated an adversarial attack, fooling an AI system into thinking a 3-D printed turtle was a rifle, reports Matthew Hutson for Science. Prof. Aleksander Madry explains that the ability to fool AI systems shows, “we need to rethink all of our machine learning pipeline to make it more robust.”
In a recent blog post, Microsoft’s president and chief legal officer, Brad Smith, references research by MIT graduate student Joy Buolamwini while calling for government to regulate the use of facial recognition software. Buolamwini’s work “showed error rates of as much as 35% for systems classifying darker skinned women,” reports Dina Bass for Bloomberg.
Kate Baggaley writes for NBC News that movement tracking technology developed by MIT researchers can be helpful for monitoring the elderly or sick. The system could be used to monitor an elderly relative and, “receive an instant alert if he or she falls,” or a doctor could use it to monitor the progression of a patient’s disease, explains Baggaley.
CSAIL researchers have created a deep learning system that can isolate individual musical instruments in a video by clicking on the specific instrument, writes Andrew Liszewski for Gizmodo. The researchers suggest the system, “could be a vital tool when it comes to remixing and remastering older performances where the original recordings no longer exist,” explains Liszewski.
Katharine Schwab of Co.Design highlights graduate student Joy Buolamwini and Visiting Scholar J. Nathan Matias as “design heroes” for their commitment to keep technology fair. Schwab writes that Buolamwini has forced companies “to develop better, more equitable technology” while Matias helped “reduced the prevalence of fake news.”
This BBC Click segment highlights the artificial intelligence system developed by CSAIL researchers that can monitor people’s movements through walls. Prof. Dina Katabi explains that the device helps preserve the privacy of those being monitored by separating and encrypting, “any identifiable information from the measurement.”
Wired reporter Aarian Marshall highlights how MIT is launching a new undergraduate major that will combine computer science and urban planning. Prof. Eran Ben-Joseph explains that the motivation for the major is studying how, “you make a better connection between the training and computation, and what the implication of the work will be, for communities, for policies.”
Fast Company reporter Steven Melendez writes that CSAIL researchers have created a new system that allows a robot to detect human brainwave patterns so it knows when it made a mistake. Melendez explains that, “Teaching robots to understand human nonverbal cues and signals could make them safer and more efficient at working with people.”