Researchers used reality TV to uncover surprising variation in how easily people’s accents change over time.
Engineers have created a high-frequency electronic chip potentially capable of transmitting tens of gigabits of data per second, much faster than the fastest internet available today.
A common ingredient used in wide array of household products, from toothpaste to disinfecting cleaners, may inhibit the function of mitochondria, the powerhouses of the cell, and hormone functions in cells, a new in-vitro study suggests.
As automation and artificial intelligence technologies improve, many people worry about the future of work. If millions of human workers no longer have jobs, the worriers ask, what will people do, how will they provide for themselves and their families, and what changes might occur (or be needed) in order for society to adjust?
Ever since the Associated Press automated the production and publication of quarterly earnings reports in 2014, algorithms that automatically generate news stories from structured, machine-readable data have been shaking up the news industry. The promises of this technology – often referred to as automated (or robot) journalism – are enticing: Once developed, such algorithms could create an unlimited number of news stories on a specific topic at little cost. And they could do it faster, cheaper, with fewer errors and in more languages than any human journalist ever could.