The underwater ocean world is an ecosystem with lots of different sounds. So naval forces have traditionally relied on so-called "golden ears," or musicians and other individuals with particularly sharp hearing, to detect the specific signals coming from an enemy submarine. But given the overload of data today, distinguishing between false alarms and actual dangers has become more difficult. That's why "Thales is working on "Deep Learning" algorithms capable of recognizing the particular "song" of a submarine, much as the "Shazam" app helps you identify a song you hear on the radio", says Dominique Thubert, Thales Underwater Systems, which is specialized in sonar systems for submarines, surface warships, and aircraft. These algorithms, attached to submarines, surface ship or drones, will help naval forces sort through and classify information in order to detect attacks early on.
They were teenage computer geeks, bespectacled kids from Seattle who taught themselves programming from a Teletype terminal, learned the basics of business from Fortune magazine and dreamed of "a computer in every home and on every desk." Paul Allen was the self-described "idea man," the shy son of librarians. Bill Gates was the business-oriented partner who brought the ideas to life. And in 1975, when Mr. Allen was 22 and Gates was 19, the friends formed a company that became known as Microsoft and unleashed a personal-computer revolution that made both men fabulously wealthy. Mr. Allen left the company after only eight years, amid a bout with Hodgkin's disease and a deteriorating friendship with Gates.
High-tech tools, including an undersea "mountain goat," and years of research led to the discovery of the WWII-era Musashi in the Pacific. WATCH: Footage from an unmanned submersible shows wreckage of the World War II battleship. High-tech tools, including an undersea "mountain goat," and years of research led to the discovery of the WWII-era Musashi in the Pacific. WATCH: Footage from an unmanned submersible shows wreckage of the World War II battleship. After years of meticulous historical research and seafloor terrain analysis, it was an underwater "mountain goat" that ultimately found the wreck of one of history's most impressive battleships, the Musashi.
As technology advances relentlessly, the real prospect of robot wars is apparently almost upon us. The 2015 book Ghost Fleet, written by Peter Singer and August Cole, lays out a vision of a future war between China and the United States, and the role of artificial intelligence (AI) in that hypothetical military conflict is not small. Drones of various types not only carry out surveillance in this novel but also play crucial roles in communications, logistics, as well as in high-intensity combat. In one memorable vignette, two American unmanned surface vehicles "following an algorithm developed from research done on the way sand tiger sharks cooperated in their hunting" successfully prosecute a Chinese nuclear submarine. Strategists familiar with the U.S. Navy's Sea Hunter program know that this ambition is not especially far-fetched.
The makers of a supercomputer designed to automatically detect, patch and exploit existing software vulnerabilities were recently awarded a seven-figure contract from the Department of Defense to apply the cutting-edge technology to military systems, including US Navy ships and aircraft. ForAllSecure's patented technology from over a decade of research resulted in Mayhem (meaning Chaos), a fully autonomous cybersecurity system. At the DARPA Cyber Grand Challenge, the world's first all-machine hacking tournament, Mayhem was battle-tested and took first place in August 2016. Machines will never be as creative as humans, though, so ForAllSecure is also committed to HackCenter, a training platform designed to teach anyone the actionable skills needed to be effective in cybersecurity, as well as the delivery of in-person training events. Mayhem won first place and $2 million in the Cyber Grand Challenge.
One thing about airplanes--especially ones that fly from aircraft carriers, where they're battered by saltwater and tough deck landings--is that they need lots of spare parts that are not always on hand. Instead of flying in new parts, though, future Navy ships may be able to make new ones to order. Picutre an intelligent, laser-wielding robot that can analyze the damage and 3D-print the needed titanium alloy parts from an onboard supply of metallic dust. This is one glimpse of the future proposed by the Office of Naval Research (ONR), which today announced a two-year, $5.8 million contract to create a new generation of super-smart 3D printers. The printers would not only make parts on order wherever they are needed, but can "observe, learn and make decisions by themselves," according to Lockheed.
DUBAI, UNITED ARAB EMIRATES – High above Yemen's rebel-held city of Hodeida, a drone controlled by Emirati forces hovered as an SUV carrying a top Shiite Houthi rebel official turned onto a small street and stopped, waiting for another vehicle in its convoy to catch up. Seconds later, the SUV exploded in flames, killing Saleh al-Samad, a top political figure. The drone that fired that missile in April was not one of the many American aircraft that have been buzzing across the skies of Yemen, Iraq and Afghanistan since Sept. 11, 2001. Across the Middle East, countries locked out of purchasing U.S.-made drones due to rules over excessive civilian casualties are being wooed by Chinese arms dealers, the world's main distributor of armed drones. "The Chinese product now doesn't lack technology, it only lacks market share," said Song Zhongping, a Chinese military analyst and former lecturer at the People's Liberation Army Rocket Force University of Engineering.
T. Poggio observes, analyzes and predicts the evolution of deep learning from both mathematical and biological sides(which is the focus in our article) in "Deep learning: mathematics and neuroscience". He mentions that, "it is telling that several of the algorithmic tricks that were touted as breakthroughs just a couple of years ago are now regarded as unnecessary ", while " some of the other ideas " such as residual learning " are more fundamental" "and likely to be more durable, though their exact form is bound to change somewhat " . In a word, he predicts that residual learning is a more durable component within the evolution of deep learning.
After nearly two decades of fighting in Afghanistan and Iraq, the Marine Corps is looking to reorient toward its specialty, amphibious operations, while preparing for the next fight against what is likely to a more capable foe. Peer and near-peer adversaries are deploying increasingly sophisticated weaponry that the Corps believes will make amphibious landings a much more challenging proposition in the future. The Corps is looking for high-tech weapons to counter those looming threats, but it's also looking for a sophisticated system to counter a persistent, low-tech, but decidedly dangerous weapon -- mines hidden close to shore. According to a recent post on the US government's Federal Business Opportunities website, first spotted by Marine Corps Times, the Marine Corps Rapid Capability Office is looking to autonomous and artificial-intelligence technology to "increase Marines' ability to detect, analyze, and neutralize Explosive Ordnance (EO) in shallow water and the surf zone" -- two areas where amphibious ships and landing craft would spend much of their time. "Initial market research has determined multiple technically mature solutions exist that can assist Marines ability to achieve this capability," the notice says.