Under the partnership, Anduril will integrate its Lattice open software platform into the revolutionary goggles to enable operators to see threats faster across the battlespace.

The software utilizes sensor fusion, computer vision, edge computing, machine learning, and artificial intelligence (AI) to detect, track, and classify every object of interest in the operator’s surroundings.

Once activated, Lattice is expected to augment IVAS’ capabilities, enhancing soldier survivability in complex and contested environments.

“It’s one of the Army’s most critical programs being fielded in the near future,” Anduril founder Palmer Luckey said, referring to the IVAS. He added that the goal of the partnership is to ensure the device “gets the right data to the right people at the right time.”

‘Bringing a Full Picture’

According to Anduril, Lattice works by fusing multiple sensors, data, and assets into a single, AI-enabled software interface to automatically detect and monitor threats.

It employs advanced data processing techniques to filter high-value information, enabling operators to react to the most immediate threats first.

The software can also be used to further investigate threats by coordinating with other available platforms, such as drones and aircraft.

The company noted that its Lattice platform is also suited for monitoring land and maritime borders, as it can alert human operators to objects of interest through their desktop or mobile phones.

“IVAS brings a full picture of the battlefield to every soldier, enabling safer and more effective operations,” Microsoft VP of Mixed Reality Robin Seiler stated.

“Our collaboration with Anduril to integrate their suite of critical sensors … demonstrates the transformative capability of this fighting goggle and will allow us to further expand the impact IVAS will have for every US soldier.”

Struggling Program

Launched in 2018, the IVAS program aims to produce augmented reality goggles that are said to revolutionize how soldiers train and operate on the battlefield.

However, the initiative has faced challenges, with soldiers reporting disorientation, dizziness, eyestrain, and headaches after trying the equipment.

User feedback also revealed that fewer targets were hit when they used the early versions of the device.

The US Congress has already withheld nearly $350 million in funding for the goggles, with a Pentagon official claiming that the US Army might just waste billions of dollars on the program.

US Army Futures Command head Gen. James Rainey also stated that the upcoming operational tests of the IVAS goggles may determine the fate of the troubled initiative.

The post Anduril to Revive US Army’s Troubled IVAS Program, Partners With Microsoft appeared first on The Defense Post.

Under the agreement, the company will leverage machine learning technology to produce simulation models of existing electronic warfare solutions, sensors, and weapons in “dynamic” and operational environments.

The approach will cover related physics of aerial maneuvers and systems to finalize processes for rapid design, testing, and delivery of future software products for the program.

BAE’s autonomy segment FAST Labs will lead works for the contract in Arlington, Virginia, and Burlington, Massachusetts.

“Generating reliable, consistent air combat performance requires a vast amount of data and rapid, robust testing cycles,” FAST Labs Principal Investigator Michael Planer explained.

“Using machine learning, we will train the models used to make dynamic decisions – ensuring that the Artificial Intelligence pilot is tested and trusted by human pilots.”

Artificial Intelligence Reinforcements Program

The latest deal will be facilitated as part of DARPA’s Artificial Intelligence Reinforcements (AIR) Phase 1 initiative.

The effort will address and enhance the US military’s autonomy requirements to match the “fast-paced and uncertain environment” inherent to modern aerial combat.

Resulting AIR solutions will be demonstrated on F-16 Fighting Falcon testbeds and applied for beyond-visual range tactical missions on unmanned aerial systems.

Partnership With Lockheed Martin

In July 2024, DARPA awarded Lockheed Martin $4.6 million to develop AIR tools for 18 months.

Similar to BAE, the firm will apply machine learning techniques to create proxy models of aircraft sensors and electronic warfare capabilities for testing in virtual environments.

Lockheed will also provide its proprietary ARISE family of integrated toolkits to engineer “digital twins” of planned program components.

The post BAE Systems to Support DARPA AI Airborne Combat Program appeared first on The Defense Post.

Around 2,000 experts and government representatives from over 90 countries attended the event.

In his opening address, South Korean Defense Minister Kim Yong-hyun highlighted how AI use in military operations could strengthen capabilities but also bring potential harm if misused. 

Ukraine’s use of AI-enabled drones in the ongoing conflict with Russia was cited as an example.

The Blueprint

The REAIM Blueprint for Action outlined 20 clauses divided into three sections: the impact of AI on international peace and security; implementing responsible AI in the military domain; and envisaging future governance of AI in the military.

It acknowledged that “AI capabilities in the military domain must be applied in accordance with applicable national and international law.”

Further, the document highlighted that “appropriate human involvement needs to be maintained in the development, deployment and use of AI in the military domain, including appropriate measures that relate to human judgment and control over the use of force.”

Among the topics discussed were risk assessments, confidence-building measures, and preventing AI from being used in the proliferation of weapons of mass destruction, especially by terrorist groups.

China Opts Out, Russia Not Invited

South Korea, the US, Japan, France, Germany, the UK, Switzerland, Sweden, Pakistan, and Ukraine were among the 61 countries that endorsed the document.

China was one of 30 to opt out. 

Meanwhile, Russia was not invited for the second year in a row due to international condemnation of its Ukraine invasion.

“We also need to be realistic that we will never have the whole world on board,” Dutch Defense Minister Ruben Brekelmans said, adding that this dilemma must be part of further discussions.

This Seoul summit, co-hosted by the Netherlands, Singapore, Kenya, and the UK, follows the inaugural session at The Hague last year that initiated guidelines about AI use on the battlefield. 

This year’s summit’s declaration is said to be more action-oriented. “Last year … was more about creating shared understanding, now we are getting more towards action,” Brekelmans said.

South Korea aims to continue discussions based on the summit document in the upcoming UN General Assembly later this month.

The post Responsible AI in Military Summit Highlights Human Control, Endorsed by 61 Countries appeared first on The Defense Post.

The trials are being held to validate the certification-ready aircraft for real-world operations according to the Federal Aviation Administration’s (FAA) Part 23 Standard Airworthiness Certification on Normal Category Airplanes.

During the event, the Caravan and its corresponding autopilot are expected to function “seamlessly and as intended,” with the collected data to be used for additional refinements and assessments.

“Merlin emerged from a broad field of experimental demonstrators, and is now uniquely turning in a ‘final draft’ with the flight test campaign of the industry’s first certification-ready Cessna Caravan,” Merlin Founder and CEO Matt George stated.

“What we’ve installed on this aircraft is not a prototype as this is no longer R&D. This is the actual certification configuration including design data, hundreds of drawings and substantiation reports, custom racks and structures, compliant wiring, and more.”

Preparation for the campaign began with an integration check flight in June 2024. It was followed by the finalization of the automatic flight control system’s open, inner, and closed looping test flights.

“With this aircraft we are validating takeoff to touchdown advanced automation, which for pilots, represents a system that is truly ‘set it and forget it,’” George said.

“At the end of the campaign with this certification configuration we will ultimately return this aircraft to service in the Supplemental Type Certificate configuration. This is part of our steady push towards our certification and commercialization goals.”

Combining Autonomy With Caravan

For the campaign, Merlin converted the Caravan’s glass cockpit with new sensors, a communication system, and advanced avionics.

The platform also incorporates dual redundancy solutions found in the FAA’s Part 25 transport aircraft category to improve “reliability and safety standards,” an integration tested aboard the US Air Force’s C-130 J Super Hercules and KC-135 Stratotanker planes.

“We stripped everything out of this Cessna Caravan and replaced the instrument panel and legacy systems…and custom hardware and software for the Merlin Pilot,” Merlin Chief Engineer Sherif Ali explained.

“This includes an air data computer, inertial navigation system, heading system, radar altimeter, all of which were integrated at an incredibly high level of quality in order to meet certification standards.”

“With these systems onboard, the Merlin Pilot is able to understand where the aircraft is, where it’s going, and more. This information goes into our flight control computers and is processed such that the Merlin Pilot can ultimately fly the aircraft where it needs to go, when it needs to go there.”

The post Merlin Kicks Off Flight Test Campaign of Auto-Piloted Cessna Caravan Aircraft appeared first on The Defense Post.

The project will evaluate data between simulation-based and real-world tests for a “comprehensive and continuous feedback loop” to further enhance AI piloting systems being developed for future unmanned applications.

The navy noted that the decision to leverage the Kratos drone was due to its lower unit cost and cost per flight hour, allowing progress at an “accelerated pace.”

The technical demonstration is scheduled in late 2025.

‘Groundwork’ for Naval Aviation

The trial is part of a contract awarded to the California-based company in March for the integration of its proprietary autonomous system “Hivemind” into the BQM-177A.

Work to complete the test will be facilitated in partnership with the navy’s Strike Planning and Execution program (PMA-281) and Aerial Targets program (PMA-208).

“This collaborative effort between PMA-281, PMA-208, and Shield AI not only expands and improves the existing spectrum of validation but also offers a scalable solution that benefits the entire naval aviation community,” PMA-281 Program Manager Capt. Jerick Black explained.

“By laying the groundwork for future advancements, this initiative ensures that the Navy remains at the forefront of technological innovation and operational excellence in naval aviation.”

Autonomy Projects With US Defense

Shield AI demonstrated its Hivemind software to operate two Kratos MQM-178 Firejet aircraft autonomously a few days before the BQM-177A test.

Simultaneously, the firm signed a $198.1-million contract to supply V-BAT vertical takeoff and landing systems to the US Coast Guard.

In August 2023, Shield AI teamed with the US Air Force to assess the swarming capability of three V-BATs in a wildfire surveillance scenario.

Two months earlier, the company revealed a collaboration with Kratos to equip and market an AI pilot with the XQ-58 Valkyrie unmanned aerial system for US and allied forces.

The post Shield AI, US Navy to Demo AI Pilot With BQM-177A Subsonic Aerial Target appeared first on The Defense Post.

Built by students from Clemson University in South Carolina, the optionally-manned platform is equipped with a high-voltage battery, a semi-active suspension, and a hybrid powertrain.

It also has rotating passenger seats to accommodate casualties and an innovative litter-loading mechanism.

According to the developers, the Deep Orange 15 is capable of performing self-drive, allowing the human driver to focus on assisting injured personnel inside during a rescue mission.

Alternatively, the driver can stay at the scene to help other casualties while the platform autonomously transports the severely injured.

Deep Orange Program

The Deep Orange 15 is the latest and most advanced vehicle created under the Deep Orange program of Clemson University’s Department of Automotive Engineering.

It incorporates artificial intelligence for improved overall autonomous performance.

Clemson masters students took 18 months to conceptualize and prototype the rescue vehicle tailored to the needs of the US Army.

In August 2023, the service also collaborated with the university to develop the “Deep Orange 14” all-terrain urban reconnaissance vehicle.

“Deep Orange’s product is not only the vehicle but also the student. It has been an honor to take part in Deep Orange 15,” engineering project manager Aniruddha Joshi said.

“The hands-on engineering experience is beyond anything we would have received from the classroom alone. We look forward to sharing what we have created.”

The post US Army Unveils Student-Built ‘Deep Orange 15’ Autonomous Rescue Vehicle appeared first on The Defense Post.

The initiative was part of the multinational Project Convergence Capstone 4 exercise led by the US Army.

The test brought together several drones from each of the three nations, working collaboratively to identify ground-based targets faster and operate with reduced risk to human life, the British Ministry of Defence explained.

It also demonstrated the ability of AI-enabled unmanned aerial vehicles to accurately locate, disable, and destroy enemy assets.

“These trials demonstrated significant progress,” wrote the Pentagon, “and [showed] tangible results … to make our warfighter more lethal on the battlefield.”

Prioritizing Interoperability

Apart from testing their overall performance, the trial evaluated the interoperability of AUKUS’ AI-enabled unmanned platforms.

The test reportedly allowed for the seamless exchange of data and control between the three nations, highlighting the success of their trilateral adoption of AI and autonomous systems.

The UK MoD said the participating drones from the three countries operated together in the same airspace to achieve a common outcome.

“The AUKUS partnership is key to ensuring that the systems designed by each nation are interoperable into the future. Service personnel from one nation will be supported by capabilities that have been developed across all 3 nations,” it stated.

The partners will now work on the maturation of their systems to achieve more reliable data and help commanders make optimal battlefield decisions.

The post AUKUS Nations Test AI-Enabled Drones Against Ground Targets appeared first on The Defense Post.

The project will combine large language models operated under Microsoft Azure OpenAI Service with Palantir’s AI Platforms suite for government and classified cloud environments.

The integrated suite will be deployed throughout the community’s existing Azure Government, Azure Government Secret Impact Level 6, and Top Secret clouds.

Cloud computing and language models under the initiative will be applied for use case-building capabilities to enable safe and efficient AI-based operations in logistics, contracting, action planning, and other deployments.

The consortium noted that services provided by the agreement are subject to completion of authorization and accreditation by covered government agencies.

“This expanded partnership between Microsoft and Palantir will help accelerate the safe, secure, and responsible deployment of advanced AI capabilities for the US government,” Microsoft Americas President Deb Cupp stated.

“Palantir, a leader in delivering actionable insights to government, will now leverage the power of Microsoft’s government and classified clouds and robust Azure OpenAI models to further develop AI innovations for national security missions.”

Palantir Chief Technology Officer Shyam Sankar added that the consortium’s support “is a step change” to enhance the performance of the US government’s defense and intelligence teams.

“Palantir AIP has pioneered the approach to operationalizing AI value – beyond chat — across the enterprise,” Sankar said. “It’s our mission to deliver this software advantage and we’re thrilled to be the first industry partner to deploy Microsoft Azure OpenAI Service in classified environments.”

The post Microsoft, Palantir to Supply AI and Cloud Solutions for US Defense and Intelligence Community appeared first on The Defense Post.

This revolutionary technology represents a paradigm shift in how command, control, communications, and computers (C4) are approached within intelligence, surveillance, and reconnaissance (ISR) operations.

Driven by Resecurity’s dedication to overcoming the shortcomings of current AI frameworks, particularly in security applications, Context AI accelerates decision-making, optimizes resource allocation, enables parallel cybersecurity operations across units, and supports scalability.

By harnessing the power of AI, Resecurity is poised to redefine the capabilities of military and defense agencies, empowering them to navigate the complexities of modern warfare with unmatched precision and effectiveness.

Comprehensive Solution

Context AI is not just another analytics tool; it’s a transformative solution crafted to empower military and defense agencies with unparalleled insights into emerging threats and security challenges.

At its core lies a sophisticated Generative AI-based framework and proprietary Large Language Model that leverage operator input to deliver contextual intelligence tailored to specific mission requirements.

By drawing upon a vast dataset of 40 billion records sourced from Dark Web indexing, actor-centric intelligence collection, and analysis of foreign malign activities, Resecurity’s experts have mitigated the risk of AI hallucinations that plague many open-source and commercial frameworks lacking relevant security context.

Enhancing Operational Effectiveness and Cost Efficiency

One of Context AI’s most significant advantages is its ability to lower the entry barrier for operators and warfighters, regardless of their expertise.

By streamlining the analytical process and delivering actionable insights in real-time, Context AI not only enhances operational effectiveness but also optimizes expenses associated with building and maintaining production-ready C4ISR systems.

This optimization ultimately reduces the total cost of ownership for these systems — a crucial consideration for defense agencies operating within budgetary constraints.

Key Applications of Resecurity’s Context AI

Resecurity’s Context AI boasts a wide range of applications that significantly enhance military intelligence and national security efforts.

Supporting Mission-Critical C4ISR Systems

Context AI empowers mission-critical C4ISR systems by providing advanced analytics capabilities tailored to the unique needs of national security operations.

Augmenting Intelligence Analysis

By leveraging AI-generated insights, intelligence analysts and operators involved in signals intelligence (SIGINT), human intelligence (HUMINT), and geospatial intelligence (GEOINT) can refine their decision-making processes and gain a deeper understanding of complex threats.

Forecasting Social Unrest and Geopolitical Events

Leveraging machine learning algorithms, Context AI predicts social unrest, protest activity, and geopolitical events in volatile regions, empowering agencies to take proactive measures to mitigate potential threats. 

Geospatial Intelligence Enrichment

Through the integration of geospatial data, Context AI enhances the intelligence-gathering capabilities of defense agencies, providing critical insights into geographic threats and vulnerabilities.

Automating Decision Processes

Context AI streamlines decision-making processes by automating tasks such as network traffic analytics, file classification, and mail classification, allowing operators to respond swiftly to emerging threats.

 Identifying Misinformation and Foreign Influence Operations

By analyzing publication context and text patterns, Context AI effectively identifies misinformation campaigns and foreign influence operations, enabling defense agencies to safeguard against manipulation and disinformation tactics.

Addressing the Challenge of AI Hallucinations

While the potential of AI in the defense sector is undeniable, it also comes with its own set of challenges.

One significant concern is the phenomenon of AI hallucinations, where systems generate irrelevant or random information that can mislead operators and compromise decision-making processes.

Recognizing this critical issue, Resecurity has proactively implemented measures to tackle it head-on, ensuring that its AI solutions deliver reliable and accurate intelligence.

Furthermore, Resecurity understands that contextual awareness is vital for reducing AI hallucinations.

By leveraging metadata to inform Large Language Models about the context in which they generate text, Context AI delivers more accurate and relevant insights. This approach not only minimizes the risk of hallucinations but also ensures that the intelligence produced is reliable and actionable.

Context AI in Action

Resecurity’s Context AI is currently used by eight governments where the solution is implemented to accelerate operations of national security, intelligence, and law enforcement organizations.

The company has an established footprint in Saudi Arabia, the United Arab Emirates, and several countries in Africa, including Senegal.

Senior advisors of the company include Maj Gen Richard Lake USMC (Ret) and Rear Admiral JMSDF Teisuke Hayano (Ret).

Intelligence Needs More Context

Resecurity’s integration of artificial intelligence into C4ISR marks a groundbreaking advancement in military intelligence and national security.

With Context AI, defense agencies have access to a powerful tool that enhances operational effectiveness and cost efficiency while effectively addressing the challenges associated with AI-generated intelligence.

As the threat landscape continues to evolve, Context AI stands ready to empower defense agencies with the critical insights they need to stay ahead of emerging threats and protect national security interests.

The post Resecurity Implements Artificial Intelligence for C4ISR appeared first on The Defense Post.

For the project, the company will design, produce, migrate, and deploy cloud-based solutions for the DMDC’s information technology enterprise. These tasks encompass automated platforms such as artificial intelligence, generative AI, and machine learning systems.

Additional tasks involve the security of these articles to ensure their critical functionality throughout migrations.

Furthermore, the firm will provide full-service cyber and risk management support to alleviate operational and privacy risks.

ICF wrote that the deal is part of a $1.4-billion multiple-award blanket purchase agreement distributed to 10 industry partners.

Each consortium member selected is eligible for 25 task areas, including data analysis, software solution architecture, cloud engineering, systems integration, operations, and sustainment.

Work for the contract will run for one year and includes an additional four-year option.

“DMDC is one of the most critical systems that supports the daily operations of our nation’s military and provides services and benefits to our retired veterans,” ICF Chief Operating Officer James Morgan stated.

“We are truly honored to bring our combined expertise in cloud technology and digital modernization, automated technologies, advanced data analytics, cybersecurity and human capital to deliver a solution that helps … ensure our service members and their families receive the care and support they deserve.”

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