Wired reporter Will Knight spotlights how MIT researchers built a machine learning system that can help predict which patients are most likely to develop breast cancer. “What the AI tools are doing is they're extracting information that my eye and my brain can't,” says Constance Lehman, a professor of radiology at Harvard Medical School and division chief of breast imaging at MGH.
TechCrunch reporter Darrell Etherington writes that MIT researchers have developed a new system that devises hardware architecture that can speed up a robot’s operations. Etherington notes that “this research could help unlock the sci-fi future of humans and robots living in integrated harmony.”
Fortune reporters Jeremy Kahn and Jonathan Vanian highlight MIT startup Macro-Eyes, which is focused on using AI to improve health care in low and middle-income countries.
Forbes contributor Louis Columbus spotlights Verta, an MIT startup that is “dedicated to solving the complex problems of managing machine learning model versions and providing a platform where they can be launched into production.”
Axios reporter Bryan Walsh spotlights a new study by researchers from MIT’s Task Force on the Work of the Future that examines the impact of AI on the future of work. Walsh notes that the report’s authors “recommend programs that can enhance computer skills from kindergarten through the university level, while urging businesses and worker organizations to build cushions for the sometimes harsh changes AI will wreak on work.”
Writing for the Financial Times, Ryosuke Harada highlights a new MIT report that emphasizes the “importance of education and investment in human resources and warns that in the absence of a strategy, jobs will be lost and divisions in society will widen.”
Forbes contributor Rob Toews spotlights the work of Professor Daniela Rus, the deputy dean of research for the Schwarzman College of Computing and director of CSAIL; graduate student Joy Buolamwini; and former MIT postdoc Rana el Kaliouby for their work shaping the future of AI. “They also serve as role models for the next generation of AI leaders, reflecting what a more inclusive AI community can and should look like," writes Toews.
Writing for Wired, Will Knight spotlights how MIT researchers developed a new technique to squeeze an AI vision algorithm onto a low-power computer chip that can run for months on a battery. The advance “could help bring more advanced AI capabilities, like image and voice recognition, to home appliances and wearable devices, along with medical gadgets and industrial sensors.”
Research scientist Brian Subirana speaks with The Economist’s Babbage podcast about his work developing a new AI system that could be used to help diagnose people asymptomatic Covid-19.
Prof. Daron Acemoglu speaks with Guardian reporter Lauren Aratani about the impact of automation on inequality. While AI has “tremendous potential for making humans more productive,” Acemoglu notes that it also “has been a major driver in the increase in inequality.”
Forbes contributor Adi Gaskell highlights a new study by CSAIL researchers that underscores the importance of foreign-born scientists when it comes to breakthroughs in AI. The researchers noted that “If we want the United States to continue to be ground zero for computer science, we need to make sure that our policies make it easy to continue to bring host international researchers to join our institutions.”
Axios reporter Bryan Walsh writes that during the virtual AI and the Work of the Future Congress, Elisabeth Reynolds, executive director of the MIT Task Force on the Work of the Future, noted that “education and training are central to helping the current and next generation thrive in the labor market.”
Elisabeth Reynolds, executive director of the MIT Task Force on the Work of the Future, speaks with Annie Nova of CNBC about the Task Force’s new report, which lays out recommendations for ensuring Americans are able to secure good jobs in an era of automation. “We’re suggesting that people have access to affordable education and training,” says Reynolds. “I think there’s a real opportunity to help transition people and educate workers without four-year degrees.”
Axios reporter Bryan Walsh writes that a new report by MIT’s Task Force on the Work of the Future makes policy recommendations for ensuring American workers are able to secure good jobs. “If we deploy automation in the same labor market system we have now," says Prof. David Mindell, "we're going to end up with the same results.”
Three years after President L. Rafael Reif delivered an “intellectual call to arms” to examine the impact of technology on jobs, the MIT Task Force on the Work of the Future has published its final set of recommendations. “In an extraordinarily comprehensive effort, they included labor market analysis, field studies and policy suggestions for changes in skills-training programs, the tax code, labor laws and minimum-wage rates,” writes Steve Lohr for The New York Times.