Winston Churchill is quoted as saying, "You can always count on Americans to do the right thing -- after they have tried everything else." Washington's grasp of artificial intelligence (AI) demonstrates the point. China has a national AI strategy entailing $150 billion in focused-research spending and military applications. France has an AI strategy with $2 billion in applied-research spending, and a collective-defense model with other NATO allies called the JEDI Collective. The UAE established a separate cabinet-level department, the Ministry of AI, which released its national AI strategy in 2017. "Artificial intelligence is the future, not only for Russia, but for all humankind. . . .
Intel Corporation flies 2,018 Intel Shooting Star drones over its Folsom, California, facility, in July 2018. The drone light show set a Guinness World Records title for the most unmanned aerial vehicles airborne simultaneously. SAN FRANCISCO -- Three years ago, in a hallway at Intel, a small team of people working on drones discussed whether it would be possible to fly one hundred drones over the Robert Noyce Building, Intel's headquarters in Santa Clara, and have them form the shape of the company's logo. They didn't plan on pursuing it seriously but it became a pet project for Natalie Cheung, who wondered at the time how they could fly multiple drones with one pilot. Now, Cheung is the general manager of Drone Light Shows at Intel and has helped put on hundreds of choreographed drone shows -- and the drones can make a lot more shapes than just the Intel logo.
In this special guest feature, Marc Alacqua, CEO and founding partner of Signafire, discusses a useful approach to data – known as data fusion – which is essentially alchemy-squared, turning not just one but multiple raw materials in to something greater than the sum of their parts. It goes beyond older methods of big data analysis, like data integration, in which large data sets are simply thrown together in one environment. Marc is a decorated combat veteran of the U.S. Army Special Operations Forces. For his service during Operation Iraqi Freedom, he was cited for "exceptionally conspicuous gallantry" and awarded two Bronze Star Medals and the Army Commendation Medal for Valor. A 20-year veteran and Lieutenant Colonel, Marc has extensive command experience in both combat and peace time, having commanded airborne and light infantry as well as special operations units.
Threat data is no exception: Cybercriminals add to its abundance as they continuously up their game by tweaking old and creating new threats to evade detection. To address the vast amounts of threat data, security providers turn to machine learning to automate processes and improve security solutions. With the great diversity and volume of threat data available, machine learning is necessary to efficiently go through a dataset, learn from it, and help reinforce defenses against cyberthreats. The importance of the quantity of threat data is evident. But is data quantity the end all and be all of effective machine learning?
The Pentagon is making a massive push to accelerate the application of artificial intelligence to ships, tanks, aircraft, drones, weapons and large networks as part of a sweeping strategy to more quickly harness and integrate the latest innovations. Many forms of AI are already well-underway with U.S. military combat systems, yet new technologies and applications are emerging so quickly that Deputy Secretary of Defense Patrick Shanahan has directed the immediate creation of a new Joint Artificial Intelligence Center. "The Deputy Secretary of Defense directed the DoD Chief Information Officer to standup the Joint Artificial Intelligence Center in order to enable teams across DoD to swiftly deliver new AI-enabled capabilities and effectively experiment with new operating concepts in support of DoD's military missions and business functions." DoD spokeswoman Heather Babb told Warrior Maven. Pentagon officials intend for the new effort to connect otherwise disparate AI developments across the services.
DARPA's efforts to propel military technology forward often manifest in a diverse fashion, spanning everything from drone submarine development to a biostasis program that aims to buy more time to rescue soldiers on the battlefield. The SHRIMP program, short for SHort-Range Independent Microrobotic Platforms, is another potentially life-saving initiative that is being designed to navigate through hazardous natural disaster zones. What differentiates SHRIMP from microrobotics limited by SWaP (size, weight and power) constraints is its size. DARPA has managed to shrink the tech down to the size of an insect -- a scale of mm-to-cm. Program manager Dr. Ronald Polcawich says the smaller scale is what gives SHRIMP robots an advantage over larger robots -- which are too large to inspect damaged environments.
In the early hours of January 11, 2000, US Coast Guard helicopter pilot Mark Ward responded to a distress call from a ship taking on water, caught in a Nor'easter off the North Carolina coast. Battling 70-mph winds and 30-foot seas, Ward struggled to keep the chopper steady as he and his crew pulled all five fishermen to safety. Ward recalls the mission as one of the most harrowing is the 22 years he spent as a search-and-rescue pilot. And now, he's got a gig ensuring his successors won't face the same dangers: He's the chief test pilot in Sikorsky's autonomous helicopter program. "Even a modest degree of autonomy, your workload goes way down and your stress and apprehension disappears," he says.
The Australian government has handed out its latest round of Defence Innovation Hub contracts, investing a total of AU$3.07 million in four local companies that will be developing "innovative" solutions for Defence. Sydney-based Saber Astronautics will walk away with a AU$1.2 million cash injection to continue the development of machine learning technology for autonomous identification and modelling of electronic threats. According to Defence, the proposed innovation could provide an ability to quantify signal threat characteristics that could be used to help protect its systems. The space engineering company said the work to detect degraded electronic signals is the second of a potential three-phase project using Saber Astronautics' advanced machine learning capability. "The application adds significant capabilities to Australian Defence and also has potential spinoffs for commercial space operations by autonomously protecting the quality of satellite data during solar storms," the company explained.
Trigo Vision, an AI startup founded by former members of the Israeli army's special forces and intelligence community, just came out of stealth mode with a target in its sights: Amazon's Go store. When Amazon opened its cashier-less store in Seattle earlier this year, it was hailed as the future of brick-and-mortar shops. And even if the company follows through on plans to open half a dozen more, the locations will be little more than a novelty. There are more than 150,000 convenience stores and 40,000 grocery markets in the US alone. Amazon may have enough money to build sophisticated storefronts full of expensive hardware from the ground up with no regard for profits – the marketing alone is worth it for the juggernaut worth $900 billion – but most other retail chains don't.
The DARPA Robotics Challenge was a showcase for how very large, very expensive robots could potentially be useful in disaster recovery and high-risk environments. Humanoids are particularly capable in some very specific situations, but the rest of the time, they're probably overkill, and using smaller, cheaper, more specialized robots is much more efficient. This is especially true when you're concerned with data collection as opposed to manipulation--for the "search" part of "search and rescue," for example, you're better off with lots of very small robots covering as much ground as possible. Yesterday, DARPA announced a new program called SHRIMP: SHort-Range Independent Microrobotic Platforms. The goal is "to develop and demonstrate multi-functional micro-to-milli robotic platforms for use in natural and critical disaster scenarios."