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18 Jul 24. DARPA picks UT Austin to house microelectronics manufacturing hub. The Defense Advanced Research Projects Agency and the University of Texas at Austin announced Thursday a $1.4bn, five-year partnership to establish the first U.S. hub for advanced microelectronics manufacturing.
The investment is part of DARPA’s Next-Generation Microelectronics Manufacturing program, or NGMM. The effort will fund the research and equipment to create a domestic center for prototyping cutting-edge fabrication techniques, which DARPA hopes will give the U.S. semiconductor industrial base a leading edge.
Under the agreement, DARPA will provide $840 m, which builds on a $522 m investment from the state of Texas in UT Austin’s Texas Institute for Electronics, which will house the center. The goal is to stand up the new hub by 2029.
“The consortium will leverage partnerships spanning organizations — across the defense industrial base, domestic foundries, vendors and startups, designers and manufacturers, members of academia, and other stakeholders — to achieve a shared vision of national and economic security,” DARPA said in a July 18 statement.
In the past three decades, the U.S. has gone from producing 37% of the global microchip supply to around 12%. Today, Taiwan produces most of the global supply of advanced semiconductors, and China exports a large portion of its microchips to the United States. These chips power everything from cell phones to cars to the F-35 fighter jet.
DARPA has been working to strengthen the domestic microelectronics industrial and research base since the 1980s and more recently has committed nearly $5 bn through its Electronics Resurgence Initiative, or ERI. The effort includes several programs designed to tackle key technological barriers facing commercial industry and national security agencies.
NGMM is part of that work. The new center will focus on 3D heterogeneously integrated microsystems, or 3DHI — an advanced approach to microelectronics fabrication. The premise of 3DHI research is that by integrating and packaging chip components differently, manufacturers could disaggregate functions like memory and processing to significantly improve performance.
“This accessibility to researchers from academia, government, and industry will break down silos and foster an ecosystem that enhances the U.S. competitive advantage,” Whitney Mason, the head of DARPA’s Microsystems Technology Office, said in the statement.
The five-year effort is split into two phases. During Phase 1, the university will establish the center’s foundational capabilities and infrastructure. In Phase 2, the facility will begin manufacturing the 3DHI prototypes and will work with DARPA to fund design challenges.
In a statement, UT Austin said its microelectronics consortium today includes 32 defense and commercial electronics companies and 18 academic institutions.
DARPA’s announcement follows Congress’ 2022 passage of the Creating Helpful Incentives to Produce Semiconductors, or CHIPS Act. The measure provided nearly $52bn for near-term efforts to improve microelectronics workforce, research and development, and manufacturing across the United States.
DARPA did not receive CHIPS funding to support the NGMM hub, but Mason noted that its goals are aligned with and bolstered by the initiative.
“We can’t overstate need for constant and unwavering forward momentum in microelectronics capabilities,” she said. “The CHIPS Act’s near-term emphasis can help reinforce NGMM’s work toward realizing the next major wave of microelectronics innovation.” (Source: Defense News)
17 Jul 24. USAF Drone Swarms to Receive Cloudless Model-Sharing Software.
TurbineOne is set to draw on its Frontline Perception System (FPS) software to support the U.S. Air Force’s special operations, focusing on sharing ML models within autonomous drone swarms. Security company TurbineOne is set to draw on its unmanned systems model-sharing technology to support the U.S. Air Force’s special operations.
Selected by AFWERX, TurbineOne will leverage its Frontline Perception System (FPS) software to focus on sharing machine learning (ML) models at the edge, specifically within autonomous drone swarms.
TurbineOne’s Frontline Perception System (FPS) enables users to create, refine, and implement computer-driven recognition algorithms effortlessly, eliminating the need for coding and dependence on cloud services.
The $1m Direct-to-Phase II contract awarded to TurbineOne aims to address the most pressing challenges within the realm of autonomous swarming for the Department of the Air Force (DAF).
With the agreement, TurbineOne will continue to create and provide innovative capabilities to strengthen the national defense of the U.S.
The DAF began offering the Open Topic SBIR/STTR program in 2018, which expanded the range of innovations that the DAF funded.
TurbineOne Co-Founder and CEO, Ian Kalin, commented; “We’re honored that the Air Force Special Operations Command (AFSOC) chose our machine learning perception technology to empower their autonomous systems.
“Our technology solves a critical capability gap by seamlessly exchanging information among autonomous drone swarms, even in austere or communication-denied environments. We’re thrilled to be working with Autonomy Prime and continuing our relationship with one of our earliest customers, AFSOC.”
Advancing Military Vehicle Operations in GNSS-Denied Environments
Honeywell has detailed the benefits of its HGuide n580 INS/GNSS navigator integrated with the HRVS, tackling GNSS disruptions and ensuring precise military vehicle navigation in challenging conditions.
(Source: https://www.defenseadvancement.com/)
17 Jul 24. Military operations require precise positioning, especially in environments where GNSS signals are compromised due to jamming, spoofing, or line-of-sight (LOS) obstructions.
Honeywell has developed an innovative solution to address this challenge by integrating its HGuide n580 INS/GNSS navigator with the HRVS (Honeywell Radar Velocity System), designed specifically for land vehicles operating in GNSS-denied environments.
Below, Darren Fisher, Sales Manager for HGuide Inertial Navigation Solutions, provides more details about the HGuide n580 and the HRVS, as well as expanding on their integration.
The HGuide n580 is equipped with Honeywell’s cutting-edge technology, including an HG4930 inertial measurement unit (IMU) and a triple-frequency, multi-GNSS real-time kinematic (RTK) receiver.
Honeywell’s sensor fusion engine combines data from these components to deliver accurate position, velocity, angular rate, linear acceleration, roll, pitch, and heading information in a no-license required package.
The Honeywell Radar Velocity System
Traditional odometry methods often rely on wheel-based sensors, which can be prone to errors from wheel slip or spin and are vulnerable to mechanical issues. The HRVS overcomes these limitations by providing true speed over ground (SOG) data.
Operating on the 77GHz band with low power output, the HRVS remains undetectable by adversaries, offering a discreet yet robust solution that enhances size, weight and power with cost (SWAP-C) efficiency.
The integration of HRVS with the HGuide n580 simplifies installation and makes it versatile for use in both manned and autonomous vehicles. The system does not require OEM-level integration, further enhancing its adaptability.
HRVS & HGuide n580 Testing & Innovation
Extensive testing has demonstrated the effectiveness of this integrated system. In a 13km journey at typical driving speeds, the GNSS-denied HGuide n580 + HRVS solution maintained a position error of less than 0.16% of the distance traveled when compared to a GNSS-enabled reference system.
During the test, GNSS was disabled after 2km to simulate a jamming event. From that point, the system relied on data from the internal HG4930 IMU and HRVS velocity sensor, typically keeping position error below 20m over the remaining 11km without GNSS signal.
This innovative approach ensures continuous operation and provides a reliable alternative when traditional satellite-based navigation methods are unavailable.
While GNSS receiver jamming and spoofing mitigation techniques have improved, they can still be overcome by powerful or swarmed jamming signals and are ineffective in heavily urban or forested areas.
Honeywell’s integration of HRVS with the HGuide n580 offers high accuracy, reliability, and adaptability in challenging environments. The solution is ideal for light military and unmanned platforms that might lose GNSS signal for extended periods.
Honeywell is developing a new iteration of the HRVS sensor capable of measuring velocity at altitudes up to 1km. This advancement will enable similar navigation solutions for unmanned aerial vehicles (UAVs) operating in long-duration GNSS-denied environments, further expanding the technology’s applications in defense and aerospace sectors. (Source: https://www.defenseadvancement.com/)
18 Jul 24. DASA calls for novel innovations in new fast paced competition.
DASA has launched a new £2 m Themed Competition seeking fast paced proposals over four key challenge areas called Innovation in Support of Operations
- DASA has launched a new Themed Competition: Innovation in Support of Operations
- Funded by the Ministry of Defence
- Up to £2m (excluding VAT) funding available for novel ideas
- Three competition cycles closing on 10 September, 22 October and 3 December
The Defence and Security Accelerator (DASA) is pleased to launch a new Themed Competition called Innovation in Support of Operations. Run on behalf of the Ministry of Defence, this competition seeks fast paced scalable proposals across four key challenge areas.
Background: Can you make a real world difference, fast and at scale?
The UK Government is continually assessing lessons from world events. From these lessons, we seek to rapidly adopt solutions that enhance our military and economic advantage. This competition intends to identify nearly ready solutions and techniques that can be accelerated into scalable and deliverable effect faster than our adversaries.
This rapid, multiple cycle competition will run for three cycles, open continuously from 18 July until 3 December 2024.
Competition key information
- Cycle 1 close – 12:00 Midday on 10 September 2024 (BST)
- Cycle 2 close – 12:00 Midday on 22 October 2024 (BST)
- Cycle 3 close- 12:00 Midday on 3 December 2024 (GMT)
- Total funding available for all successful bids in this competition is £2 m (excluding VAT)
- Funded proposals are expected to be in the range of £50,000 to £200,000
- A number of proposals may be funded
Competition Challenges
Challenge 1: Novel and enhanced scale complex manufacture of materiel
We are looking for new ways to:
- improve the capability and performance of materiel
- increase volume of materiel
- reduce the cost or extend the life of materiel
Challenge 2: Autonomous system navigation and applique options
We are seeking ways to make legacy ground vehicles operate with basic autonomy. We are also seeking new UAS navigation solutions that can interface with industry standard architecture.
Challenge 3: Wide-area sense and detect
We are looking for reduced cost, low probability of intercept, wide-area sense and detect including (but not limited to) air search (including passive) and the function of 3D counter-battery radar.
Challenge 4: Innovative solutions for minefield breaching
We are seeking innovative methods to effect a breach of conventional, deep, extensive and heavily protected minefields quickly, cheaply, and with sufficient regard for personnel protection.
For in depth details of the Competition Challenges, please read the full Competition Document.
Technology Readiness Levels (TRL)
For this competition we are seeking technology output and demonstration at technology readiness level (TRL) 6 as a minimum no later than three months from the contract start date.
If you think you have an innovation that meets the scope and timeline for one of the Competition Challenges, why not read the full Competition Document and submit a proposal?
https://www.gov.uk/government/publications/innovation-in-support-of-operations (Source: https://www.gov.uk/)
18 Jul 24. Event 38 Adds uAvionix ADS-B Integration. Event 38 Unmanned Systems announced that it has entered into a collaborative agreement with uAvionix to resell and integrate uAvionix ADS-B products with Event 38 aircraft. Unmanned aerial systems and manned aircraft equipped with uAvionix ADS-B transceivers can track each other electronically while in flight. ADS-B transceivers like the Ping2020, which is small enough for Event 38 drones, receive and transmit information about air traffic such as location, altitude, and speed. The Ping series can detect ADS-B messages from aircraft up to 100 miles away.
When a uAvionix ADS-B transceiver is integrated with an Event 38 aircraft, operators can see the locations of manned air traffic overlaid directly on their ground station display. This capability improves both operator and pilot situational awareness, so operations near manned aircraft can be performed with an added level of safety. This risk mitigation tool may also increase the chance of being approved for Part 107 waivers such as high altitude and BLOS operations, depending on the location and airspace of the operation.
With this added ADS-B capability, Event 38 aircraft continue to lead the industry in long range mapping aircraft for EVLOS and BLOS operations.
“Our prediction is that the FAA will require ADS-B as part of its eventual integration of unmanned aircraft into the NAS,” says Jeff Taylor, President, Event 38. “By partnering with uAvionix to offer this capability, we hope to make it easier for our customers to obtain Part 107 waivers now and to build flight heritage for future changes in regulation.”
Event 38 will carry all of uAvionix’s products for unmanned aircraft, including Ping2020, Ping1090, Ping200S(r) Transponders, and PingUSB. These products will be available on all Event 38 long endurance aircraft starting with the E384-Heavy and E400. (Source: UAS VISION)
16 Jul 24. Pentagon to expand industry pool for CJADC2 experimentation. U.S. Airmen from the New York, Washington, and Maryland Air National Guard monitor aircraft during a Global Information Dominance Experiment at Tyndall Air Force Base, Fla, in 2021. (Staff Sgt. Nicholas Byers/U.S. Air Force)
When the Pentagon revealed it had delivered a baseline version of its marquis advanced command-and-control capability earlier this year, it proved it could quickly deliver a solution to a specific set of C2 requirements through focused experimentation.
The milestone was significant in that it represented a shift in the Defense Department’s approach to connecting military forces across operational domains, known as Combined Joint All Domain-Command and Control, or CJADC2.
Whereas DOD leaders had previously focused — and struggled to show progress — on the ultimate goal of full interoperability, this time they honed in on identifying capabilities to address operators’ most urgent problems and workflows and vetting them through a regular C2 exercise series known as Global Information Dominance Experiments, or GIDE.
Now, the Defense Department’s Chief Data and AI Officer Radha Plumb wants to expand on that work in two ways: targeting more of the department’s C2 capability needs and developing an enduring process through which companies can propose solutions and DOD can evaluate them.
Plumb spoke with reporters July 16 on the sidelines of DOD’s first-ever industry day aimed at helping companies understand its near-term advanced C2 requirements and how they can showcase potential solutions through GIDE.
“We want to bring in more technologists and technology solutions to compete in those venues, so that we can get a better option set of solutions,” she said.
The department to date has conducted 11 GIDE events, each with a particular theme or focus — which is generally classified — connected to a capability gap that the military services and combatant commands have identified. Plumb’s office leads these campaigns, running one every three months.
In the past, the team has reached out to a limited pool of companies to see what solutions they might have to those gaps and then integrated those into the experiments. For example, during its experimentation campaign to validate the CJADC2 baseline capability set last year, the department worked with more than 20 firms.
For future GIDEs — and possibly even the next event in September — Plumb hopes to incorporate tools from a broader set of companies, to potentially include some firms her office engages with during the industry day.
Plumb’s office will use its acquisition hub, called Tradewinds, to communicate its requirements to industry, solicit capabilities and select the most promising to participate in experimentation events.
“If they perform well and they meet a sort of scaled capability need, then we can go through our normal kind of acquisition processes to get broader scaled deployments of them,” she said. “But we’ll also have the prototype vehicle acquisition vehicle to continue that testing and experimentation series.”
Plumb would not discuss what specific GIDE technologies the department will include in its next experimentation set, but operators are generally looking for things like visual interfaces and tools that allow them to integrate data faster and more efficiently to inform decision making.
“We evaluate the technology’s performance both on the overall success of it, but then on whether that candidate technology is the right thing to solve that capability need for the that particular area,” she said.
The experimental applications DOD will end up buying and scaling through this process represent just one category of tools the department wants to integrate into its advanced C2 ecosystem, known as the Open Data and Applications Government-owned Interoperable Repositories, or Open DAGIR.
Plumb announced in late May the department will use Open DAGIR to not only vet experimental tools, but to buy data infrastructure as well as more mature, enterprise-level licenses for applications that will be used by a broad swath of DOD users.
“Open DAGIR ensures the Department can leverage the innovative solutions from the world-class software developers in both the traditional and nontraditional industrial base to create capabilities for our warfighters and decision makers,” she said in a May 30 press release. “We aim to give industry front-row access to both our data and our users to develop relevant and timely software for decision advantage.” (Source: Defense News)
16t Jul 24. Teledyne e2v announces that the company has qualified and released an upscreened version of the LX2160 to operate between -55°C to +125°C. The military-qualified processor implements a 16-core Arm® Cortex® A72 design providing developers of AI-at-the-Edge computing systems, single board computers (SBCs) and other compute intensive systems embedded on aerospace and defense equipment unparallelled performance in the smallest form factor and optimized power envelope.
Compared to the previous generation processor LS1046, a quad-core processor in NXP’s 64-bit Arm® Layerscape portfolio which Teledyne e2v has also qualified, the power-efficient LX2160 offers designers of embedded systems a lift of 2.6 more Giga instructions per Watt. With 4x more cores and 6x more DMIPS (201k DMIPS @ 2.2 GHz) computing capability, the LX2160 delivers significant performance benefits for aerospace and defense applications, including 2 DDR4 interfaces, 100 GbE, multiple PCIe Gen3.0 and SATA Gen3.0, to enable faster switching and routing of data. The LX2160 also provides engineers with an easy migration pathway for previously developed software assets on Arm® based systems to more compute intensive designs or system upgrades.
The Teledyne e2v military-qualification of the LX2160 processor assures designers its functionality over a wide -55°C to +125°C operating temperature range. The device is housed in a compact 40mm x 40mm package, which reduces mounting area and minimizes installation space. In addition, Teledyne e2v is committed to supporting the LX2160 processor for 15+ years, avoiding common and costly obsolescence issues.
“The military qualification of NXP’s flagship LX2160 processor enables Teledyne e2v to deliver to our aerospace and defense customers the high-performance needed for their compute-intensive applications,” says Thomas Guillemain, Marketing and Business Development Manager of Digital Processing Solutions at Teledyne e2v. “We are already working to generate a space-qualified version of the LX2160 for launch next year.”
Samples of the military-qualified LX2160 processor are available today. For more information, please visit: https://semiconductors.teledyne-e2v.com/en/products/processors-and-processing-modules/lx2160/
15 Jul 24. How Europe’s next-generation combat jet aims to catch the AI wave. Mainland Europe’s Future Combat Air System, an ambitious effort to field a suite of warplanes and drones in the 2040s, could become the first large-scale defense program with artificial intelligence fully baked in.
A consortium of Germany, France and Spain – with Belgium joining as an observer last year – promises to have the first airworthy demonstrators of the futuristic idea flying by this decade’s end. Artificial intelligence will play a key role in practically all aspects of the system, engineers and experts told Defense News in a series of interviews, influencing everything from the platform’s development to kill-chain decisions and even the very things that pilots see.
The key novelty of FCAS, compared to existing platforms, is its use of so-called loyal wingmen. These drones are to travel alongside the main, manned aircraft and act to enhance the mission – collecting more data, allowing for more firepower or simply overwhelming enemy defenses by sheer numbers.
“Because you don’t want to have to control these out of a cockpit with a stick and throttle,” these drones will require a certain level of automation or autonomy, said Thomas Grohs, Airbus’ head of future capabilities and chief engineer of the FCAS project.
Building this type of intelligence, which entails finding the optimal degree of pilot involvement in different situations, will be crucial to the success of the program as a whole.
Always online
Onur Deniz’s company, NeuralAgent, is tasked with ensuring that data flows where it needs to go, enabling each of the system’s components to be in constant contact. The Munich-based startup is taking what it called an “AI agent approach”: Instead of a centralized, cloud-based decision-making algorithm, each of the wingmen drones will use smaller, locally-run models to operate autonomously and will exchange information with their peers using communication channels such as optical, narrowband radio or even infrared. While doing so, they will continuously construct redundant and ever-changing data links providing permanent connectivity.
“This gives you a very fast ability to build your own networks in blackout regions or conflict regions,” Deniz said. In computer simulations testing the concept based on real-world scenarios, this approach maintained connectivity in adverse electronic warfare environments for over 95% of the time. By comparison, centrally administered and cloud-based models saw a less than 0.5% success rate in NeuralAgent’s tests, he said.
By the end of 2025, the software will be ready for integration into existing hardware – legacy systems, at first – said Deniz, describing it as a “plug-in that you can put anywhere you want.”
The company claims that its models are extremely resource-efficient. “You could run them on a Raspberry Pi and they take less than a gigabyte of space,” Deniz said, referring to the small, single-board computers popular with schools and hobbyists, priced at around $50. “All we need is a Linux environment.” Access to the communications stack of the platform is really the only other prerequisite, he explained. “Because of containerization, installation will be as simple as if you were installing a library to code.”
While the current focus in NeuralAgent’s FCAS development is on networking, Deniz anticipates that the next step will be to use the technology for more complex mission-planning. This would include making decisions based on the combat environment and moving assets around to optimize communications and achieve objectives.
What is a pilot, anyway?
The constellation of manned and unmanned aircraft working together will require a radical redefinition of what a pilot’s role is, said Grohs, the Airbus chief engineer. Sitting in the cockpit of Europe’s next fighter will not only be about flying the aircraft but “really about becoming a mission operator,” he said, “elevating yourself above your own asset and operating the mission together with your peers that may be manned or unmanned.”
In fact, flying the aircraft may only take a secondary role altogether; the plan is to give even the manned aircraft the option of flying entirely on their own to allow the pilots to focus on mission management, the chief engineer said.
The project’s goal “is definitely to go for autonomy,” he added. “The loyal wingmen are given a high-level task and within set boundaries, the assets can work autonomously.”
Compared to automation – which Grohs defined as a system automatically fulfilling a predefined sequence of events – autonomy includes decision-making.
He described the envisioned implementation as a pilot choosing what action they want to have taken while not needing to issue “a specific trigger press.” A capability like this would be quick to implement, he said, pointing to the fact that similar AI pilots have already flown in the U.S. and that “we are testing things out.”
Organizing principle
At least initially, the AI models in FCAS will all be “frozen,” said Grohs, meaning that no machine learning will take place during missions. The algorithms, whether for processing sensor data or for making decisions about striking enemies, will be pre-developed and retrained off-board. At some point, however, machine learning may be integrated into the airborne platforms themselves, he said.
Even so, AI will touch every element of the observe, orient, decide, and act loop, Grohs said, referring to the “OODA Loop” framework popularized in U.S. military command textbooks. He said the algorithms would be paired with sensors in order to improve the quality of images, for example, but also play a role in developing courses of action.
The extent to which artificial intelligence will make targeting decisions on its own is still up for discussion, he added.
While details on the appearance and specific capabilities of FCAS are still sparse, the resources being invested are considerable. At Airbus alone, over 1,400 people are currently working on Europe’s next-generation air combat platform, said Christian Doerr, a company spokesperson. The European aerospace giant plays a key coordinating role in making the project come to life along with Dassault Aviation in France.
Many of the applications of the AI-based algorithms already exist in some form, though in isolation, said Grohs. The process of integrating them, with countless companies and thousands of engineers working on the project, runs the risk of becoming unmanageable, said Simon Pfeiffer, associate director of programs at the Munich-based AI company Helsing. Because AI models have dependencies on one another and the data they ingest, the company, along with partners, is working on creating a “digital assembly hall” to put it all together.
Through a cloud environment for developers, workflows can be improved, data can be exchanged and interoperability can be ensured, all while adhering to the particularly sensitive constraints of working in the defense sector, company representatives told Defense News. The online platform is already being used by over 50 contributors working on the FCAS project and was developed specially for it, according to Helsing.
In that sense, engineers already are using AI to breathe AI into the next-gen weapon, said Grohs. There is even the idea of developing an FCAS-specific Chat GPT-equivalent to help engineers with their jobs.
Killer robots?
Meanwhile, nongovernmental organizations and autonomous-weapons experts have warned about delegating too much power to machines. Concerns include the unreliability of machine vision, the often-opaque nature of machines’ decision making and the danger of autonomy applying a tactical mindset to questions with strategic implications.
In interviews with Defense News, some analysts expressed concern that even if a weapon system might not by default be allowed to kill autonomously, changing this may only entail a simple software switch – and incentives to flip that switch would be strong. Grohs was not able to rule out that FCAS might have this ability to switch between such modes, depending on the “rules of engagement that may apply for the respective conflict,” said the Airbus chief engineer.
“I don’t see a major difference between autonomous and human decisions,” Grohs said. “You shouldn’t assume that either an AI decision or a human decision is always 100% correct.” (Source: Defense News)
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