If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
An AI-controlled fighter jet will battle a US Air Force pilot in a simulated dogfight next week -- and you can watch the action online. The clash is the culmination of DARPA's AlphaDogfight competition, which the Pentagon's "mad science" wing launched to increase trust in AI-assisted combat. DARPA hopes this will raise support for using algorithms in simpler aerial operations, so pilots can focus on more challenging tasks, such as organizing teams of unmanned aircraft across the battlespace. The three-day event was scheduled to take place in-person in Las Vegas from August 18-20, but the COVID-19 pandemic led DARPA to move the event online. Before the teams take on the Air Force on August 20, the eight finalists will test their algorithms against five enemy AIs developed by Johns Hopkins Applied Physics Laboratory.
An upcoming event to display and test AI-powered jet fighters will now be held virtually due to COVID-19. "We are still excited to see how the AI algorithms perform against each other as well as a Weapons School-trained human and hope that fighter pilots from across the Air Force, Navy, and Marine Corps, as well as military leaders and members of the AI tech community will register and watch online," said Col. Dan Javorsek, program manager in DARPA's Strategic Technology Office. "It's been amazing to see how far the teams have advanced AI for autonomous dogfighting in less than a year." DARPA (Defense Advanced Research Projects Agency) is using the AlphaDogfight Trial event to recruit more AI developers for its Air Combat Evolution (ACE) program. The upcoming event is the final in a series of three and will finish with a bang as the AI-powered F-16 fighter planes virtually take on a human pilot.
It sounds like a sci-fi movie: pitting an artificial intelligence against human pilots. Sadly, DARPA will no longer hold an in-person event for its third and final AlphaDogfight Trial. It'll happen virtually, instead, with participants and viewers watching online as AI algorithms control simulated F-16 fighter planes in aerial combat. By the end of the three-day event, viewers will witness a matchup between the top AI and an experienced Air Force fighter pilot, who'll also be controlling a virtual F-16. If you're interested, you need to register beforehand to tune in.
Data prepper Tamr Inc. will assist the U.S. Air Force in boosting utilization of its air assets under a five-year contract designed to use machine learning techniques to accelerate the flight certification process for new aircraft configurations. Those configurations include equipping front-line aircraft with new weapons, sensors and defenses such as electronic warfare pods. Tamr said the contract with the Air Force's Seek Eagle Office could be worth as much $60 million. The office based at Eglin Air Force Base, Fla., is responsible for integration new technologies into front-line aircraft. The Air Force office will use Tamr's machine learning platform to organize more than 30 years of aircraft performance studies dispersed across the organization.
Faced with a congressional mandate to test its GPS system for cyber vulnerabilities, the Air Force commissioned a digital replica of the satellites and then asked contractors to hack the system. The use of "digital twins" is expanding from modelling in conventional simulators to include testing of emerging technologies and systems, predicting engine performance, or training automated systems to fly a plane. With GPS, Booz Allen Hamilton built the SatSim twin for Lockheed Martin's Block IIR GPS satellite for the Air Force Space and Missile Systems Center (SMC), in El Segundo, Calif. "The satellite itself was on orbit," BAH Vice President Kevin Coggins told Air Force Magazine. "So we built this digital model … and then we went looking for vulnerabilities. We did [penetration] testing and we saw what we could discover."
TORONTO, July 31, 2020 (GLOBE NEWSWIRE) -- Datametrex AI Limited (the "Company" or "Datametrex") (TSXV: DM, FSE: D4G) is pleased to announce that it has been successfully awarded a second contract in the United States defense industry, United States Air Force via Wright State Applied Research Corp. ("WSARC") on July 29, 2020. WSARC is provides contracting, security and research administration services for Wright State Research Institute, the University and the state of Ohio, and will head the U.S. Air Force Academic Partnership and Engagement Experiment (APEX) program. "This is a great example of renewable business for Datametrex. Getting a one-year contract extension shows that our technology is valued by the client, and marks progress in our plan to expand our mandate with the organization. Datametrex will continue to solidify our position as a trusted solution provider within the U.S. military departments."
With a $740.5 billion budget for national security, the United States continues to be the leading country in terms of combat power. The US Air Force has just signed four contractors to build an unmanned combat aircraft with artificial intelligence (AI) for as much as $400 million. With the initiative to create a low-cost combat aircraft, with modular payloads for a multitude of air and ground-attack capabilities, the Skyborg Vanguard program was created. Skyborg is an autonomy-focused aircraft that will enable the Air Force to operate unmanned teamed aircrafts at a sustainable low cost. The program is undergoing prototyping whereby they are developing an autonomous aircraft which is equipped with unmanned system technologies to support a range of Air Force missions.
AI.Reverie, company specializing in synthetic data for improved artificial intelligence (AI), announced that it has won a $1.5 million Phase 2 Small Business Innovation Research (SBIR) contract by AFWERX to build AI algorithms and improve navigation capabilities for the U.S. Air Force. According to the company, AI.Reverie will be supporting the 7th Bomb Wing at Dyess Air Force Base through their Rapid Capabilities office by leveraging synthetic data to train and improve the accuracy of vision algorithms for navigation. The use of synthetic data, or computer-generated images, aims to solve the resource barriers associated with real data: the high cost and slow turnaround of hand-labeled photos stalls deployment of vision algorithms needed to save lives. AI.Reverie's Phase 2 SBIR contract closely follows its co-publication with the IQT Lab CosmiQ Works of a paper highlighting the value of synthetic data to train computer vision algorithms. The research partners also released RarePlanes, the largest open dataset of real and synthetic overhead imagery for academic and commercial use.
The U.S. Air Force plans to have an operational combat drone by 2023. The service plans to build out a family of unmanned aircraft, known as Skyborg, capable of carrying weapons and actively participating in combat. The Air Force's goal is to build up a large fleet of armed, sort-of disposable jets that don't need conventional runways to take off and land. The Air Force, according to Aviation Week & Space Technology, expects to have the first operational Skyborg aircraft ready by 2023. Skyborg will be available with both subsonic and supersonic engines, indicating both attack and fighter jet versions.