Self-driving cars, trucks and buses might get the bulk of the headlines, but a team at the University of Washington Bothell (UWB) is developing a smaller kind of autonomous vehicle. With the aim of providing a relatively inexpensive alternative to owning an autonomous car, the team is creating a self-driving trike that may even open up the possibility of an automated ride-sharing network, like a bike version of Uber’s or NuTonomy’s proposed services.
When we type in a search query, access our email via the cloud or stream a viral video, chances are we don’t spend any time thinking about the technological plumbing that is behind that instant gratification.
Sitaram Lanka and Derek Chiou are two exceptions. They are engineers who spend their days thinking about ever-better and faster ways to get you all that information with the tap of a finger, as you’ve come to expect.
Now, they have a new superpower to help them out.
The bunker door will be opened because the igniter, also called nitrocellulose, burns very rapidly and is only explosive when confined, Brian Salvatore, chairman of the chemistry and physics department at Louisiana State University in Shreveport and a member of the Camp Minden citizens’ advisory committee, said last week.
A magazine holding 114,000 pounds of igniter is scheduled for burning Saturday. Another one holding 84,000 pounds of igniter and 40,000 pounds of M6 artillery propellant is to be burned Oct. 29.
In Brief:
The U.S. may be trailing behind China in artificial intelligence (AI) research — or at least in journal articles that mention “deep learning” or “deep neural network” — according to the White House’s National Artificial Intelligence Research and Development Strategic Plan.
The Global Positioning System (GPS) is a great navigation aid – unless you lose the signal while negotiating a complicated spaghetti junction. That’s bad enough for conventional cars, but for autonomous vehicles it could be catastrophic, so the University of California, Riverside’s Autonomous Systems Perception, Intelligence, and Navigation (ASPIN) Laboratory under Zak Kassas is developing an alternative navigation system that uses secondary radio signals, such as from cell phone systems and Wi-Fi to either complement existing GPS-based systems or as a standalone alternative that is claimed to be highly reliable, consistent, and tamper-proof.
Today, there are two global satellite navigation systems in operation, the US GPS and the Russian GLONASS, with the European Galileo system set to become fully operational in the next few years, and plans for the Chinese Beidou system to extend globally by 2020. These have revolutionized navigation, surveying, and a dozen other fields, but GPS and related systems still leave much to be desired. By their nature, GPS signals are weak and positions need to be confirmed by several satellites, so built up areas or mountainous areas can make the system useless. In addition, GPS signals can be deliberately or accidentally jammed or spoofed due to insufficient encryption and other protections.
In military circles, various supplementary systems are employed with everything from submarines to foot soldiers also using Inertial Navigation System (INS) that emply accelerometers and compasses to calculate positions from the last good GPS fix, but these only work for a limited time before they start to drift.
Fuel/ energy efficient method for travel is my guess.
The US Air Force’s unmanned X-37B space plane has now spent more than 500 days orbiting the Earth, without statement or explanation. The 29-foot unmanned plane is part of the Air Force’s orbital program.
Launched May 20, 2015, it is the program’s fourth flight (hence its other name, OTV-4 for Orbital Test Vehicle-4). The first OTV took flight in 2010 and spent 224 days in orbit; two others brought the total number of OTV days in orbit before 2015 to 1,367, according to the Air Force.
The full purpose or intent of the program? The US Air Force remains mum. The Air Force will only say in its program factsheet that the initiative is to “demonstrate technologies for a reliable, reusable, unmanned space test platform for the US Air Force. The primary objectives of the X-37B are twofold: reusable spacecraft technologies for America’s future in space and operating experiments which can be returned to, and examined, on Earth.
Everything is about cloud computing these days. In fact, there is such an emphasis on stuffing all your applications into the cloud that we’ve managed to create a situation where now we’re having performance issues. So then the tech world came up with another concept called fog computing which means we take everything out of the cloud and move it “to the edge”. It’s only a matter of time before we decide that edge computing isn’t centralized enough and then start moving everything back up to the cloud. All the while, highly paid data consultants are laughing all the way to the bank. The truth is though that cloud based solutions (also called software-as-a-service or SaaS) are here to stay. In many cases, the technology on offer is so complex and resource intensive that it only works with a centralized model. Quantum computing is a good example of this. So is IBM’s Watson cognitive computing solution. The company we’re going to talk about in this article, Cognitive Scale, is taking IBM Watson and making cognitive computing available to anyone via the cloud.
Founded in 2013, Texas based startup Cognitive Scale took in $25 million in funding just last week from investors that included Intel, Microsoft, and IBM. Probably the most compelling thing about Cognitive Scale is the pedigree of their leadership. The Company Chairman, Manoj Saxena, was responsible for commercializing IBM’s Watson with a $1 billion investment from IBM. He ended up at IBM because a company he founded called Webify was acquired by IBM in 2006. In fact, he founded and sold two venture-backed software companies in just 5 years’ time. The founder and CTO of Cognitive Scale, Matt Sanchez, was the 3rd employee and Chief Architect of Webify and was responsible for founding the R&D arm of IBM Watson called IBM Watson Labs. See how this all fits together?
