“ALL ABOARD” the QC train is leaving the station.
If you’ve ever had a train set, you might remember the tiny street lamps that are often part of the model landscape. Today, the bulbs from those toy lamps are helping to shed light on quantum computing.
In fact, there’s been a spate of developments lately in quantum computing, and not just IBM’s announcement of its upcoming cloud service. Here are three recent advances from research institutions around the world.
If you’ve been staying on top of artificial intelligence news lately, you may know that the games of chess and Go were two of the grand challenges for AI. But do you know what the equivalent is for robotics? It’s table tennis. Just think about how the game requires razor sharp perception and movement, a tall order for a machine.
As entertaining as human vs. robot games can be, what they actually demonstrate is much more important. They test the technology’s readiness for practical applications in the real world—like self-driving cars that can navigate around unexpected people in a street.
These automaker knuckleheads were planning to try and hide self driving cars into the 2030’s:
Head of GM’s foresight and trends unit says timetable for autonomous vehicles likely moved from 2035 to 2020, if not sooner.
A General Motors Co. executive credited Silicon Valley companies, including Alphabet Inc.’s Google car division and Tesla Motors Inc., for accelerating the development of autonomous vehicle technology and shortening the timetable for when safer self-driving cars hit the road.
Richard Holman, a 30-year automotive veteran running GM’s foresight and trends unit, said Tuesday that three years ago most industry participants would have estimated 2035 as a reasonable timetable for self-driving cars. Speaking to a conference in suburban Detroit, Mr. Holman said now most people see that technology being deployed by 2020, if not sooner.
Mr. Holman noted companies like GM and its rivals have been working on autonomous vehicles for several years, and said tech giant Google and electric-car maker Tesla deserve get credited for moving the industry along.
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StarWars fighting is here! Wow; all we need is Yoda, and a Jedi Academy; then we can say life is indeed imitating art.
Experts believe that US aircraft could be fitted with the so-called death rays early in the next decade once scientists have managed to reduce the size of the devices while increasing their power.
You will never have to carry physical documents of your passport into the airport ever again. De La Rue, a Britain-based commercial banknote printer and passport manufacturer, is working on a technology that can store “paperless passports” in smartphones.
This would act similar to mobile boarding cards, the Telegraph reported. “Paperless passports are one of many initiatives that we are currently looking at, but at the moment it is a concept that is at the very early stages of development,” a spokesman of the company was quoted as saying.
General Atomics Electromagnetic Systems (GA-EMS) officials demonstrated its Blitzer electromagnetic railgun system at the U.S. Army’s Fires Center of Excellence annual Maneuver and Fires Integration Experiment (MFIX)last month at Ft. Sill in Lawton, Oklahoma.
There were eleven firings of the Blitzer railgun during the MFIX event, all at a target with a range that was greater than previous Blitzer firings. At the end of MFIX, GA-EMS’ Blitzer railgun system will be transported back to Dugway Proving Ground in Utah for more testing later this year.
GA-EMS’ Acoustic Detection System, an unattended ground sensor system for multi-target simultaneous detection and tracking, was also showcased at the MFIX event. The system can monitor multiple sensors simultaneously and enable visual detection and tracking of acoustic and seismic sources.
Movidius’ Myriad 2 vision processing chip (Photo: Movidius)
The branch of artificial intelligence called deep learning has given us new wonders such as self-driving cars and instant language translation on our phones. Now it’s about to injects smarts into every other object imaginable.
That’s because makers of silicon processors from giants such as Intel Corp. and Qualcomm Technologies Inc. as well as a raft of smaller companies are starting to embed deep learning software into their chips, particularly for mobile vision applications. In fairly short order, that’s likely to lead to much smarter phones, drones, robots, cameras, wearables and more.