FirstSpear TV

Archive for the ‘AI / ML’ Category

Aitech’s NVIDIA Jetson AGX Orin-based Supercomputer Increases Rugged AI Processing in Military Applications

Wednesday, October 2nd, 2024

New AI SFF system provides up to 50% more bandwidth, 6x AI performance increase and 2x CPU performance improvement over previous GPGPU-based systems

Technology Highlights:
NVIDIA Jetson AGX Orin SoM increases performance across all metrics: AI, GPU, CPU, memory
SWaP-optimized, powerful processing for autonomous, surveillance, and advanced weapons systems
Multiple connector options for design flexibility in naval, ground, avionics, and mobile applications
Chatsworth, Calif. September 2024 – Aitech now offers a rugged AI supercomputer that uses the most powerful NVIDIA Jetson AGX Orin System-on-Module (SoM) currently available for high-performance military systems. With its compact size, the A230 Vortex is the most advanced embedded computer for AI, deep learning, and video and signal processing in distributed systems that need to reliably operate in remote, harsh conditions.

Optimizing the full performance of the Ampere GPU, the new rugged HPEC system provides up to 2048 CUDA cores and 64 Tensor cores that reach up to 275 TOPS at a remarkable level of energy efficiency. The system also features two scalable, highly configurable, dedicated NVDLA (NVIDIA Deep-Learning Accelerator) engines that simplify integration and portability as well as promote a standard way to design deep learning inference accelerators.

Dan Mor, director, products and solutions at Aitech, commented, “Military systems keep integrating more information inputs at the edge, meaning remote systems need high-powered processing to manage this data and provide actionable intelligence. The A230 sets a new standard for advanced, rugged AI that enables deep learning as well as video and signal processing in next generation autonomous vehicles, surveillance systems, and advanced weapons systems.”

In addition to providing AI-based local processing right where it is needed, the A230 features high-speed interfaces and a variety of data and video I/O to enable easy adaptation to specific system requirements. This includes four SDI (SD/HD) and eight composites (RS-170 [NTSC]/PAL) that are simultaneously available as well as Gigabit Ethernet, discrete, USB, DVI/HDMI out, and UART Serial ports. Optional NVMe SSD and a microSD card slot helps extend memory resources for the robust 64 GB of LPDDR5 RAM that comes standard. More interfaces are available upon customer request.

The new system offers cold-plate cooling, weighs less than 8 lbs and has low power consumption, while meeting MIL-STD-810H for vibration, shock, acceleration, altitude, humidity, dust and salt fog.
For more information, please call 888-Aitech-8 (888-248-3248), visit bit.ly/A230Product or e-mail sales@aitechsystems.com.

Get our updates: www.linkedin.com/company/Aitech

The Future of Logistic Autonomy Demonstrated

Sunday, September 22nd, 2024

As part of Rheinmetall’s commitment to the UK and drive to support the British Army a Logistic Autonomy Demonstration was recently held Millbrook Proving Ground, Bedfordshire, UK, showcasing world-leading autonomous technology ready for integration to deliver greater logistic flexibility on the battlefield. The autonomous leader-follower technology was demonstrated live to our guests, using Rheinmetall MAN Military Vehicle’s (RMMV) HX trucks and Polaris 4×4 MRZR vehicles, illustrating the versatility that the advanced technology can provide in a variety of environments.

The leader-follower technology is readily available to be integrated on existing vehicles and for the next-generation of vehicles. It will be a critical enabler for future force capabilities, and support interoperability between the nations that adopt the kit. The use of a HX truck proves how easily compatible the technology is with many existing trucks in service with NATO countries. The technology enables future force logistics with less soldiers, moving greater volumes, at day and at night.  

For the demonstration, a RMMV HX truck was fitted with the ‘leader’ kit, and three following vehicles were fitted with both ‘A’ and ‘B’ kits. This enabled them to wirelessly connect to the convoy autonomously, with the functions of the vehicles operating remotely. Our guests saw both the HX trucks and MRZR vehicles cross tarmac roads, prepared tracks and off-road areas in densely wooded terrain, move over steep gradients and navigate numerous bends while seamlessly connected. This revealed the resilience of the advanced autonomous system’s capability in a range of environments, and demonstrated how this advanced technology can provide dispersed logistics with diverse vehicle types. The reduction in the number of personnel required to deliver effective logistics by using the leader-follower technology also significantly reduces the risk involved.

In the recent European Land Robot Trial 2024 (ELROB) competition, the Rheinmetall InterRoc team won first place in the “Automated Convoy” category. The combination of HX truck and integrated PATH autonomy kit demonstrating Rheinmetall technology.

Learn More About OKSI at These Upcoming Shows

Thursday, September 19th, 2024

Find OKSI this Fall and learn how to bring your UAS/UAV Intelligence by OKSI, the New Gold Standard in Autonomy

Future Forces | Virginia Beach, VA | 24-27 Sep
SHOP Show | Raeford, NC | 8 Oct
AUSA | Washington, DC | 14-16 Oct
UTAC | Perry, GA | 21-25 Oct

Reach out to meet with OKSI’s SMEs to talk system integration with their software portfolio that brings autonomy at scale, unlocking capabilities such as true autonomy and affordable mass integration. Their modules offer a range of capabilities like GPS-denied navigation, ATD/ATR, terminal guidance, and more.

Contact: solutions@oksi.ai
Learn more: www.oksi.ai/omniscience

BAE Systems Awarded $4 Million from DARPA for Tactical Autonomy Program

Thursday, September 12th, 2024

Artificial Intelligence Reinforcement (AIR) program to advance autonomous air combat

MERRIMACK, N.H., Sept. 10, 2024 — The Defense Advanced Research Projects Agency (DARPA) has awarded BAE Systems’ (LON:BA) FAST Labs™research and development organization a $4 millioncontract for Phase 1 of the Artificial Intelligence Reinforcements (AIR) program.

To overcome the fast-paced and uncertain environment that is inherent to air combat and presented a challenge for autonomous agents, the DARPA AIR program aims to advance dominant tactical autonomy for beyond visual range air combat missions. Autonomy solutions will be developed and demonstrated on F-16 testbeds.

“Generating reliable, consistent air combat performance requires a vast amount of data and rapid, robust testing cycles,” said Michael Planer, scientist and principal investigator at BAE Systems’ FAST Labs. “Using machine learning, we will train the models used to make dynamic decisions – ensuring that the Artificial Intelligence (AI) pilot is tested and trusted by human pilots.”

Under the AIR contract, BAE Systems will use machine learning (ML) to innovate simulation models of existing sensors, electronic warfare systems, and weapons within dynamic and operationally representative environments. ML techniques will also capture the underlying physics of aerial maneuvers and systems. The company will then create the processes needed to rapidly design, test, and deliver future iterations of AIR software products.

Work on the AIR program, which is part of BAE Systems’ autonomy portfolio, will take place in Arlington, Virginiaand Burlington, Massachusetts.

Artificial Intelligence in Convoy: Rheinmetall Takes First Place at ELROB 2024

Friday, August 30th, 2024

Rheinmetall has once again demonstrated its expertise in the field of artificial intelligence. It achieved a significant success in connection with the Interoperable Robotic Convoy (InterRoC) project. In the European Land Robot Trial 2024 (ELROB) competition, the Rheinmetall InterRoc team consisting of the Research & Technology division of Rheinmetall Landsysteme GmbH and Rheinmetall Canada Inc. won first place in the “Automated Convoy” category. The combination of HX truck and integrated PATH autonomy kit proved its worth.

The Rheinmetall PATH autonomy kit (‘PATH A-Kit’) is an AI-supported navigation system that can be installed in almost any vehicle. It has already proven itself several times in trials in various platforms, including in the Mission Master robotic vehicle family. Just last year, it was successfully used in the 2023 Estonia Unmanned Ground Systems Autonomy Trials. At ELROB 2024, the PATH A-Kit controlled two of the highly mobile HX logistics vehicles as part of the convoy scenario. Both HX vehicles were also equipped with a drive-by-wire system.

ELROB is one of the most demanding open international competitions in the field of robotics, sensor technology and autonomy. Every two years, participants from universities as well as civilian and military manufacturers compete against each other. The aim is to test the capabilities of modern robots. This year was the 12th edition. It took place from 24 to 28 June at the  German Armed Forces Technical Center for Land-Based Vehicle Systems, Engineer and General Field Equipment (Wehrtechnische Dienststelle WTD 41) in Trier. 19 teams took part. Rheinmetall subsidiaries Rheinmetall Landsysteme GmbH and Rheinmetall Canada competed in a tactical leader-follower scenario and an actual real-life scenario. 

The level of difficulty of this year’s tasks was significantly increased compared to the 2022 competition. The autonomously driving trucks and the convoy commander had to react to dynamic obstacles, alternative routes and various electromagnetic interferers, among other things. However, the system was able to solve all tasks in an exemplary manner.

The HX vehicles had to overcome eleven different obstacles on a 6 km circuit. The most difficult challenges included narrow paths, transitions between on-road and off-road driving, navigating through open and dense forests, communication interference, reversing and driving around obstacles. “The course was very challenging. The organisers did a fantastic job of making the competition a realistic military scenario and our performance shows that the Rheinmetall PATH-A kit is ready for real-world use cases,” said Paul Rocco, Managing Director of Rheinmetall Provectus. The company was acquired by Rheinmetall Canada in 2019.

The competition organisers also surprised the Rheinmetall team by bringing a car into their convoy. This forced the following truck to slow down and navigate around the moving obstacle. The convoy was also broken up, so the team had to remotely control the following truck on a parallel path and reconfigure the convoy to make the remote-controlled truck the new convoy leader. “The 2024 ELROB scenario was considerably more challenging than the scenario for the 2022 ELROB participation, for example,” commented Sebastian Elze, Rheinmetall Landsysteme Research & Technology division’s project manager responsible for the overall autonomous InterRoC system, among other things.

Despite these challenges, the team completed most of the route in convoy mode without GPS, as the terrain was overgrown with dense foliage. “This is the first time we have demonstrated this new specific capability, which is a significant upgrade for the PATH A kit,” said Luc Brunet, Director of Robotics and Autonomous Systems at Rheinmetall Provectus. “We were able to seamlessly switch between GPS-enabled and GPS-free environments without any degradation in functionality or noticeable change in operation.”

Although ELROB is a non-competitive event focussed solely on research and development, an award ceremony was held at the end of the trial. This is intended to give participants the opportunity to receive feedback and insights from the judges. This year, Rheinmetall received the prize for the best convoy performance, a first for the company and an important milestone for the PATH A-Kit.

In addition to the evaluated scenarios, the area of autonomous driving was also demonstrated to the many visitors – including generals and other military personnel from various countries, officials from the Federal Ministry of Defence, the Federal Office of Bundeswehr Information Technology and In-Service Support (BAAINBw) and WTD41 – in the open presentation area. The vehicles in the competition, which were also on display and available for demonstration drives, were very popular with the visitors and aroused great interest

The Research & Technology division of Rheinmetall Landsysteme GmbH from Unterlüß took part in this event for the first time as Team InterRoC in 2022 as part of the InterRoC project in the field of automated convoys. At that time, the team took the 2nd place with an American autonomy kit provided by BAAINBw and integrated by Rheinmetall Landsysteme GmbH.

The InterRoC project was launched four years ago in order to derive customer requirements for future autonomous logistics vehicles. It is continuously being expanded by the BAAINBw through supplementary orders with regard to system capabilities. Among other things, it includes two military HX2 trucks equipped with autonomy kits and drive-by-wire, which follow each other in a leader-follower principle. In view of this competition, the PATH autonomy kit developed by Rheinmetall Canada Inc. was also installed in the vehicles so that participation in the competition could take place with a complete “Rheinmetall solution”.

Zapata AI to Deliver Real-Time Intelligence for Warfighters

Wednesday, August 14th, 2024

The collaboration aims to enhance real-time intelligence and decision support for USSOCOM’s Hyper-Enabled Operator and Force programs with state-of-the-art AI on the edge

BOSTON, Aug. 13, 2024 — Zapata Computing Holdings Inc. (“Zapata AI”) (Nasdaq: ZPTA), a leading provider of industrial-grade software for enterprise AI, has entered a Cooperative Research and Development Agreement (CRADA) with the U.S. Special Operations Command (“USSOCOM”).

Key Highlights of the CRADA include:

• Empowering USSOCOM with advanced AI tools to enhance situational awareness, real-time decision-making, and operational readiness in challenging environments and contested spaces.

• Accelerating USSOCOM’s ability plan, create, and deliver AI-driven advantage to align closely with specific mission objectives and parameters.

• Deepening Zapata AI’s existing relationship across the United States Department of Defense innovation ecosystem.

Under the terms of the CRADA, Zapata AI will leverage its Orquestra® platform to speed up the model development lifecycle (MDLC) and create AI and ML applications that enhance mission performance for USSOCOM’s Hyper-Enabled Force (HEF) initiatives. The decision-support capabilities developed by the partnership will run on the edge in low connectivity environments on ruggedized high-performance computing (HPC) hardware.

“We are proud to support the brave men and women of USSOCOM in defending our national security around the world,” said Christopher Savoie, CEO and co-founder of Zapata AI. “Our battle-tested Orquestra platform, our ability to ingest and process vast amounts of streaming data in real-time, and our experience in rapidly deploying AI solutions in challenging environments will enhance USSOCOM’s operational readiness with cutting-edge intelligence capabilities.”

The collaboration with USSOCOM builds on Zapata AI’s success in supporting Andretti Global’s complex race intelligence and advanced analytics needs. In both cases, Zapata AI deploys an ensemble of small, specialized AI models at the edge, providing real-time analytics and decision support in environments with limited or unpredictable connectivity. Zapata has proven in its production solutions that deploying an ensemble of targeted models, rather than a single large, generalized AI model, delivers superior performance for mission-critical applications where speed and accuracy are paramount.

The CRADA deepens Zapata AI’s existing relationships across the United States Department of Defense landscape. As the only company participating across all tracks of the Defense Advanced Research Projects Agency (DARPA) Quantum Benchmarking program, Zapata AI has led the groundbreaking work to estimate the economic utility and resource requirements for high-value quantum computing applications. In June 2024, Zapata AI and its collaboration partners published the findings from Phase II of the program.

For more information on Zapata AI, visit our website or follow us on LinkedIn or X.

Armaments Research Company Kicks Off Effort to Revolutionize Small Unit Resupply with Army DEVCOM

Wednesday, August 7th, 2024

Highlight:

• ARC artificial intelligence-enabled weapon sensors support efforts within Contested Logistics to explore novel methods for resupplying tactical units.

Washington, D.C. – August 5th, 2024 – Armaments Research Company (ARC) is transforming small unit resupply operations in collaboration with Army DEVCOM. This initiative addresses the longstanding challenge of efficiently maintaining combat units supplied at the front line. By leveraging innovative AI-enabled sensors and warfighter feedback, ARC’s solution automates the ammunition aspect of the standard ACE report for infantry units.

“ARC’s vision for the capability is drone delivered speedballs (ammunition and water) and providing commander’s at every echelon with novel solutions to the centuries old problem of keeping combat units supplied at the front.” – Kyle Rice, ARC CTO.

Applications Open for US Army Artificial Intelligence Scholars Program

Monday, August 5th, 2024

The Army Artificial Intelligence Integration Center (AI2C) is seeking applicants for their Artificial Intelligence Scholars Program (AISP) Cohort 6.

Open to Active Component officers (Lieutenant to Major) with exceptional academic foundations in computer science, math, and engineering.

There are two programs currently available, the AISP Graduate Degree and the AISP PhD Program.

The AISP Graduate Degree is a highly competitive, 20-22 months of Advanced Civil Schooling at Carnegie Mellon University or the University of Wisconsin-Madison. Degree opportunities include: Masters of Computational Data Science; Masters of Information Systems Management-Business Intelligence Data Analytics; AI data Engineering, and Autonomous System AI Engineering. Advanced Civil Schooling is followed by a 24-month utilization tour at the AI Factory in Pittsburgh, PA.

The AISP PhD Program is an elite 36-month program at Carnegie Mellon University followed by a 3-year utilization tour at the AI Factory. The purpose of this program is to train officers to conduct independent research in AI or related fields. Graduates will extend the body of AI knowledge, apply cutting edge AI research to Army problems, and lead development of Army AI plans and proofs of concept.

Applications are due no later than August 9, 2024: www.hrc.army.mil/content/BOP

For additional information or to begin the application process reach out to: usarmy.pittsburgh-pa.afc-ai2c.mbx.workforce-development@army.mil