Neurala, Inc. developed The Neurala Brain--deep learning neural network software that makes devices and products like drones, mobile phones and cameras more intelligent, engaging and useful. Neurala provides customized solutions ranging from high-end applications to inexpensive everyday consumer products. With The Neurala Brain and an ordinary camera, products can learn people and objects, recognize them in a video stream, find them in the video, and track them as they move. The Neurala Brain is based on technology originally developed for NASA and the U.S. Air Force. Follow Neurala on Twitter @Neurala and on Facebook, YouTube and LinkedIn.
Google may be pitching its artificial intelligence and machine learning tools for a new military project. The search giant has been winding down its involvement with the Pentagon's controversial Project Maven, but Google's Cloud team is now talking with members of the US special operations community, according to Defense One. A document distributed last month at the Special Operations Forces Industry Conference (SOFIC) in Tampa, Florida described how Google Cloud's AI tools could be used by some special operations forces. Google has been winding down its involvement with the Pentagon's controversial Project Maven, but its Cloud team is now talking with the US special operations community The US Special Operations Forces include specialized units of the military like the Green Berets and the Navy SEALs, among others. 'As part of the Special Operations mission to turn captured enemy material into actionable intelligence, Commands are tasked with collection, exploitation, and dissemination of unclassified material to include documents, images, audio, and video,' according to the document, which was obtained by Defense One.
Nasa has flown a large, remotely piloted predator drone equipped with detect-and-avoid technologies through the national airspace system for the first time without a safety chase plane following it. The space agency says the'milestone' flight over California moves the US closer to normalising unmanned aircraft operations in airspace used by commercial and private pilots. The test used a non-military version of the Air Force's MQ-9 Predator B called Ikhana that is 36 feet (11 meters) long and has a 66-foot (20-meter) wingspan. It paves the way for large remotely-piloted aircraft to be used in all kinds of services, from fighting forest fires to providing emergency search and rescue operations, according to Nasa. The flight took off from Edwards Air Force Base in California and entered controlled air space almost immediately.
As the world's biggest militaries embrace artificial intelligence, Google says it will no longer be involved. The Silicon Valley tech giant announced AI principles Thursday, saying it wouldn't pursue weapons or other technologies whose principal purpose is to cause harm. It also said it won't pursue surveillance technologies that violate international norms. And it won't pursue AI technologies that violate human rights. Google has endured a recent employee backlash due to its involvement in a US Air Force project that used drones to automatically identify objects with the company's technology.
BEALE AIR FORCE BASE, Calif.--Six decades after the U-2 flew its first mission, the military is trying to harness artificial-intelligence technology to enhance the venerable spy plane's combat reconnaissance capabilities. U.S. Air Force reconnaissance experts have enlisted Stanford University engineering and business students to develop advanced computer programs to analyze the old-style Kodak film currently used by U-2s over Afghanistan, Iraq, Korea, Syria and other hot zones. If successful, computers would quickly scan miles of U-2 film and count cars, airplanes, motorcycles, buildings and even individual people, tasks now performed painstakingly by analysts using eye loupes and illuminated screens. "Our analysts are already saturated with data--too much imagery, too few analysts, and too little time," says U.S. Air Force Col. Jason Brown, commander of the 480th Intelligence, Surveillance and Reconnaissance Wing. "Imagine if an algorithm could sweep through the data to cue analysts on potential areas of concern.
Google is ending its controversial'Project Maven' deal with the Pentagon. Google Cloud boss Diane Greene informed employees of the decision during an internal meeting on Friday morning, Gizmodo reported, citing sources close to the situation. The contract, in which the Pentagon used Google's artificial intelligence technologies to analyze drone footage, was set to expire in 2019. Greene told employees that it won't be renewing the contract once it expires. Google is calling off its controversial'Project Maven' program with the Pentagon.
The internal Google email chain also notes that several big tech players competed to win the Project Maven contract. Other tech firms such as Amazon were in the running, one Google executive involved in negotiations wrote. Rather than serving solely as a minor experiment for the military, Google executives on the thread stated that Project Maven was "directly related" to a major cloud computing contract worth billions of dollars that other Silicon Valley firms are competing to win. The emails further note that Amazon Web Services, the cloud computing arm of Amazon, "has some work loads" related to Project Maven. Jane Hynes, a spokesperson for Google Cloud, emailed The Intercept to say that the company stands by the statement given to the New York Times this week that "the new artificial intelligence principles under development precluded the use of A.I. in weaponry."
Google's Project Maven program for AI-based military drone image recognition program could net the company up to $250 million per year, according to internal memos seen by The Intercept. That's a lot more than the $9 million Google reportedly told employees the contract was worth. What's more, the program may be tied to a much bigger contract, possibly the US military's JEDI Cloud program. The information came from an email chain between Google Cloud head scientist Dr. Fei-Fei Li and other employees. "Total deal $25-$30M, $15M to Google over the next 18 months," Li wrote.
Artificial intelligence has become so smart and commonplace that most people accept computer-generated restaurant recommendations or movie suggestions without blinking an eye. Underneath the virtual surface, however, much remains mysterious in the realm of machine learning, where systems attempt to mimic the remarkable way humans learn. Machine learning capabilities aren't yet up to the task of handling highly complex, rapidly changing or uncertain environments, and artificial intelligence can easily be tricked by false information from a clever adversary -- critical situations for national defense. In an effort to build the next generation of machine-learning methods to support its needs, the Air Force Office of Scientific Research and the Air Force Research Laboratory have awarded $5 million to establish a university center of excellence devoted to efficient and robust machine learning at the University of Wisconsin–Madison. The center also includes researchers from the Toyota Technological Institute at Chicago (TTIC).
A police drone operator was forced to steer the device away from the path of an F-15 fighter jet travelling at nearly 520mph, a report has revealed. The Devon and Cornwall officer was convinced there would be a collision as the military jet came into view and then banked right above Throwleigh, Devon, on January 16. The Airprox board, which looks into near-misses, reported the 13lbs device was flying at an altitude of around 300ft when the pilot heard a fast jet approaching. 'He descended the drone as quickly as possible,' the report said. 'The jet came into view from right-to-left and seemed to pass by the drone at the same altitude; it looked like the jet was within 200m laterally of the drone.