智邦网
2020-09-19 智邦网
编译 致远
据breakingdefense网9月18日报道
美空军实验室与工业界采用独特创新协作方式，加速开发AI技术解决方案， 最近取得的成果是DARPA刚刚结束的阿尔法狗战竞赛。
实验室与工业界联盟达成“自主研究合作网络”（ ARCNet）合作伙伴协议，由非赢利SP全球研究所(SPGI)管理. 联盟包括140家成员，其中一半为小型非传统企业，另一半是国防承包商。
实验室ARCNet项目主任科里·舒马赫说：“国防部新武器研发到后勤保障的所有领域都越来越注重自主系统”“几乎所有自主技术开发面临几个潜在技术挑战，包括网络安全、验证确认与试验、AI与学习，以及如何实现人与自主系统协同。”DARPA通过ARCNet与工业界竞争对手组织阿尔法狗战，旨在探索机器算法在战机战斗状态下的可行性。
空军实验室旨在通过 ARCNet加快开发现实解决方案，与工业界联盟达成“合作协议”，促进国防部和工业界研究人员迅速攻克难关。
去年，ARCNet向17家企业授出9个项目，合同金额2300万美元，目前正在推3700万美元的项目。客户不仅包括空军实验室和DARPA,还有国防部研究与工程署及其试验资源管理中心、特种作战司令部，以及空军全寿命管理中心。
其他国防部机构正在与联盟合作，如国防创新市场的“国防部自主利益团体”。
Air Force Collaborative Pushes AI Frontiers — Fast
WASHINGTON: Air Force Research Lab (AFRL) has pioneered a unique industry collaboration to speed solutions to the toughest AI technical challenges. Its most recent success is the just-finished DARPA AlphaDogfight contest.
The Autonomy Research Collaborative Network, or ARCNet, is a partnership between AFRL and an industry consortium managed by the non-profit SP Global Institute (SPGI). The consortium boasts some 140 members, Mark Pohl, ARCNet operations director for SPGI said in an interview today. About half of the members are small, non-traditional firms, he said, and the other half are established defense contractors.
As DoD focuses more heavily on autonomous systems for everything from new weapons to logistic networks, almost all development programs keep running into the same fundamental problems, explained Corey Schumacher, AFRL’s ARCNet program manager.
“There are several underlying technology challenges for almost anything we’re doing on autonomy,” he said. “Cybersecurity is absolutely one of those. Verification, validation and test is another. Artificial intelligence and learning — how we how we deal with those in autonomous environments? … How to integrate various multiple autonomous systems? And how to make the human interact with them and make them interact well with the human? There are some major underlying threads that recur over and over again in this space.”
DARPA used ARCNet to find and contract the industry competitors in the AlphaDogfight, designed to explore the viability of machine algorithms to fly a fighter jet in combat conditions. As Breaking D readers know, the AlphaDogfight resulted in an AI ‘pilot’ built by Heron Systems beat a top Air Force F-16 pilot in a simulated WWII-style aerial battle.
The trials were designed as a risk-reduction effort for DARPA’s Air Combat Evolution (ACE) program to flesh out how human and machine pilots share operational control of a fighter jet to maximize mission success. The overarching ACE concept is aimed at allowing pilots to shift “from single platform operator to mission commander” in charge not just of flying their own aircraft but managing teams of drones slaved to their fighter jets, the ACE program website explains. And as Sydney reported last week, Defense Secretary Mark Esper says the effort will now advance to testing in real aircraft — with DARPA eyeing a goal of handing over the program to the Air Force in 2024.
The goal of AFRL in setting up ARCNet a year and a half ago was not just to tackle those fundamental problems plaguing autonomous system development, but also speed actual solutions. Thus, the consortium works with AFRL under a “collaborative agreement” that fosters both rapid contracting and a communications-intensive environment so that DoD and industry researchers can more easily overcome obstacles and reach conclusions, Pohl and Schumacher explained.
“Our tagline, and our goal both as we were starting off and as we go forward, is ‘we award contracts with 60 days.’ And we’ve done it consistently,” he told me. Indeed, Schumacher said with no small amount of pride, the “median time to award” at this point is 53 days. This, of course, is light speed for DoD contracts, even for most other contract vehicles that DoD uses outside the Federal Acquisition Regulation (FAR) process.
ARCNet awarded nine projects to 17 companies last year worth $23 million, and currently has $37 million worth of projects underway, according to a set of background slides provided to Breaking D. Customers so far include not only AFRL and DARPA, but also DoD’s Research and Engineering Office (OUSDR&E) and its Test Resource Management Center; Special Operations Command (SOCOM); and the Air Force Life Cycle Management Center (AFLMC).
Schumacher said several other DoD offices are now in the process of working with the consortium, but demurred on providing specifics. He noted, however, that one vector for raising interest in the consortium has been the the DoD Autonomy Communities of Interest (ACoI) within the Defense Innovation Marketplace.
According to the ACoI website: “The Autonomy CoIs will closely examine the DoD’s S&T investments in the enabling of autonomous systems, to include the strategic assessment of the challenges, gaps, and opportunities to the development and advancement of autonomous systems, and identification of potential investments to advance or initiate critical enabling technology development.”
“China has a profound advantage in ballistic missiles against the United States,” he said. “They also have a profound advantage in ground-launched cruise missiles. We have to get into that offensive force game as well.”
While the funds involved may not be big bucks, the lure for industry is two-fold, Pohl and Schumacher explained.
First, winning firms receive government funding to do basic research on projects they needed or wanted to do for their own efforts. The government gets “government purpose rights” to use the research and its results; the company gets to use it in its own programs including those aimed at the commercial market. For this reason, all ARCNet research is unclassified.
Second, many of the projects being funneled through ARCNet are “Phase 0” efforts for bigger projects that have already agreed transition plans — meaning that a winning firm can get carried along the acquisition cycle into a program of record.
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