Posted in education, employment, robotics/AI
“Technophobes”—people who fear robots, artificial intelligence and new technology that they don’t understand—are much more likely to be afraid of losing their jobs to technology and to suffer anxiety-related mental health issues, a Baylor University study found.
More than a third of those in the study fit its definition of “technophobe” and are more fearful of automation that could lead to job displacement than they are of potentially threatening or dangerous circumstances such as romantic rejection, public speaking and police brutality, according to the study.
“If you’re afraid of losing your job to a robot, you’re not alone,” said researcher Paul McClure, a sociologist in Baylor’s College of Arts & Sciences. “This is a real concern among a substantial portion of the American population. They are not simply a subgroup of generally fearful people.”
Illustration of 3D-printed sensory composite (credit: Subramanian Sundaram)
MIT researchers have designed a radical new method of creating flexible, printable electronics that combine sensors and processing circuitry.
Covering a robot — or an airplane or a bridge, for example — with sensors will require a technology that is both flexible and cost-effective to manufacture in bulk. To demonstrate the feasibility of their new method, the researchers at MIT’s Computer Science and Artificial Intelligence Laboratory have designed and built a 3D-printed device that responds to mechanical stresses by changing the color of a spot on its surface.
More than 45 million couples worldwide grapple with infertility, but current standard methods for diagnosing male infertility can be expensive, labor-intensive, and require testing in a clinical setting.
Cultural and social stigma, and lack of access in resource-limited countries, may prevent men from seeking an evaluation. Investigators at Harvard-affiliated Brigham and Women’s Hospital (BWH) and Massachusetts General Hospital (MGH) set out to develop a home-based diagnostic test that could be used to measure semen quality with a smartphone-based device. New findings by the team indicating that the analyzer can identify abnormal semen samples based on sperm concentration and motility criteria with approximately 98 percent accuracy are published online in today’s Science Translational Medicine.
“We wanted to come up with a solution to make male infertility testing as simple and affordable as home pregnancy tests,” said Hadi Shafiee, a principal investigator in the Division of Engineering in Medicine and Renal Division of Medicine at BWH. “Men have to provide semen samples in these rooms at a hospital, a situation in which they often experience stress, embarrassment, pessimism, and disappointment. Current clinical tests are lab-based, time-consuming, and subjective. This test is low-cost, quantitative, highly accurate, and can analyze a video of an undiluted, unwashed semen sample in less than five seconds.”
The Laser Communications Relay Demonstration (LCRD) will help NASA understand the best ways to operate laser communications systems. They could enable much higher data rates for connections between spacecraft and Earth, such as scientific data downlink and astronaut communications.
“LCRD is the next step in implementing NASA’s vision of using optical communications for both near-Earth and deep space missions,” said Steve Jurczyk, associate administrator of NASA’s Space Technology Mission Directorate, which leads the LCRD project. “This technology has the potential to revolutionize space communications, and we are excited to partner with the Human Exploration and Operations Mission Directorate’s Space Communications and Navigation program office, MIT Lincoln Labs and the U.S. Air Force on this effort.”
Laser communications, also known as optical communications, encodes data onto a beam of light, which is then transmitted between spacecraft and eventually to Earth terminals. This technology offers data rates that are 10 to 100 times better than current radio-frequency (RF) communications systems.
Illustration of 3D-printed sensory composite (credit: Subramanian Sundaram)
