TechCrunch reporter Darrell Etherington writes that MIT researchers have developed a new “liquid” machine learning system that can learn on the job. Etherington notes that the system has “the potential to greatly expand the flexibility of AI technology after the training phase, when they’re engaged in the actual practical inference work done in the field.”
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.
Mashable reporter Sasha Lekach spotlights a new study by MIT researchers that finds installing more charging stations close to residences and in locations that match where people naturally stop, would help increase usage of electric vehicles. The researchers found that “this helps to make charging more accessible while drivers are going about everyday activities.”
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.”
Forbes contributor Adi Gaskell spotlights how the MIT Task Force on the Work of the Future recently released a comprehensive report examining the future of work. Gaskell writes that the Task Force's report emphasizes the “pressing issues of our time as one of improving the quality of jobs to ensure that prosperity is shared across the economy.”
MIT researchers have developed an online interactive tool aimed at helping consumers quantify the costs of buying an electric or gas-powered vehicle. The tool demonstrates how electric vehicles may initially be more expensive, but are often cheaper in the long-run, reports Veronica Penny for The New York Times. Prof. Jessika Trancik notes that she hopes the tool will “help people learn about how those upfront costs are spread over the lifetime of the car.”
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.”
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.”
Writing for Greentech Media, Jason Deign spotlights a new study by Prof. Jessika Trancik that examines the rising costs of new nuclear plants. The researchers found that “the main reason for spiraling nuclear plant construction bills is soft costs, the indirect expenses related to activities such as engineering design, purchasing, planning, scheduling and — ironically — estimating and cost control.”
Forbes contributor Dipka Bhambhani spotlights a new study by MIT researchers that examines the causes of cost overruns and delays in nuclear power developments, and finds they could have been “averted by building plants in factories and then installing them on site.”
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.”
Prof. Fadel Adib speaks with BBC reporter Gareth Mitchell about a new battery-free underwater navigation system that his group developed. Adib explains that one of the key developments behind the new sensors is that they can “harvest power from sound.”