Since the first Roomba came out in 2002, it has seemed inevitable that one day iRobot would develop a robotic lawn mower. After all, a robot mower is basically just a Roomba that works outside, right? Of course, it’s not nearly that simple, as iRobot has spent the last decade or so discovering, but they’ve finally managed to pull it off.
More than 10 years in the making, Terra wants to do for your lawn what Roomba has done for your floors.
At the IEEE International Symposium on High-Performance Computer Architecture in February, Illinois computer engineering associate professor Rakesh Kumar and his collaborators will make the case for a wafer-scale computer consisting of as many as 40 GPUs. Simulations of this multiprocessor monster sped calculations nearly 19-fold and cut the combination of energy consumption and signal delay more than 140-fold.
Engineers aim to use “silicon interconnect fabric” to build a computer with 40 GPUs on a single silicon wafer.
To make its developers’ jobs more rewarding, Facebook is now using two automated tools called Sapienz and SapFix to find and repair low-level bugs in its mobile apps. Sapienz runs the apps through many tests to figure out which actions will cause it to crash. Then, SapFix recommends a fix to developers, who review it and decide whether to accept the fix, come up with their own, or ignore the problem.
Engineers began using Sapienz to review the Facebook app in September 2017, and have gradually begun using it for the rest of the company’s apps (which include Messenger, Instagram, Facebook Lite, and Workplace). In May, the team will describe its more recent adoption of SapFix at the International Conference on Software Engineering in Montreal, Canada (and they’re hiring).
Last year, a wildlife photographer spotted a “one in a million” coyote with captivating blue eyes while out on a walk in California’s Point Reyes National Seashore.
The sighting quickly became national news and prompted an investigation by National Geographic, which confirmed the coyote’s eye color was indeed rare — as coyotes’ irises are almost always some shade of gold. At the time, Juan Negro, a senior researcher at the Spanish Council for Research in Spain, told the publication he hadn’t seen something like that in the 25 years he’d been studying animal coloration.
“Deviants, or strange colors, arise from time to time as mutants,” Negro suggested back in June.
But in private settings, including meetings with the leaders of the many consulting and technology firms whose pop-up storefronts line the Davos Promenade, these executives tell a different story: They are racing to automate their own work forces to stay ahead of the competition, with little regard for the impact on workers.
DAVOS, Switzerland — They’ll never admit it in public, but many of your bosses want machines to replace you as soon as possible.
I know this because, for the past week, I’ve been mingling with corporate executives at the World Economic Forum’s annual meeting in Davos. And I’ve noticed that their answers to questions about automation depend very much on who is listening.
In public, many executives wring their hands over the negative consequences that artificial intelligence and automation could have for workers. They take part in panel discussions about building “human-centered A.I.” for the “Fourth Industrial Revolution” — Davos-speak for the corporate adoption of machine learning and other advanced technology — and talk about the need to provide a safety net for people who lose their jobs as a result of automation.
