The post Pittsburgh Small Business VISIMO Secures $3 Million U.S. Army Contract for AI-Powered Reconnaissance Drones appeared first on VISIMO - AI & Technology Solutions.
]]>15-month project emphasizes innovative rapid prototyping and boosts Pennsylvania’s defense technology economy
CARNEGIE, PA. – VISIMO, a Carnegie-based small business specializing in artificial intelligence and rapid prototyping, has been awarded a $3 million, 15-month prototype contract from the U.S. Army Artificial Intelligence Integration Center (AI2C). Executed via the Department of Defense’s Tradewinds Solutions Marketplace, this contract will fund the design and delivery of advanced Medium-Range Reconnaissance (MRR) drones featuring cutting-edge AI technology and additive manufacturing capabilities. This project builds upon VISIMO’s established reputation and recent “Awardable” designation on the DoD Tradewinds Marketplace.
VISIMO’s innovative drone solution combines AI-driven automation with open architecture and near Vertical Take-Off and Landing (VTOL) capability. This approach enables rapid remanufacturing near frontline positions, significantly enhancing operational flexibility. The attritable drones provide persistent aerial surveillance and automated battle damage assessment, delivering real-time intelligence while protecting higher-value military assets and personnel. VISIMO has a strong history in unmanned aerial systems (UAS), notably demonstrated through its recent partnership with NASA to advance autonomous drone navigation.
“We’re honored to partner with the U.S. Army on this pivotal project,” said James Julius, Founder and CEO of VISIMO. “This initiative reflects VISIMO’s dedication to defense innovation and highlights southwestern Pennsylvania’s role as a national leader in emerging defense technologies.”
VISIMO’s drones will incorporate NDAA-compliant hardware and open-source software, ensuring robust security and supply-chain integrity. With modular design for interchangeable payloads, including electro-optical/infrared sensors and precision-effects modules, the drone system is engineered for versatile operational scenarios.
“Western Pennsylvania is at the forefront of cutting-edge AI technology that powers businesses and protects our country. It’s great to see the federal government stepping up and investing in our workers and companies right here at home. Every dollar we bring back to the Commonwealth means better-paying jobs, stronger communities, and real wins for Pennsylvania,” said Senator John Fetterman.
The Tradewinds Solutions Marketplace streamlines the procurement of advanced technologies, fostering collaboration between the Department of Defense and innovative small businesses such as VISIMO, accelerating adoption of mission-critical AI solutions.
For more details on VISIMO’s ongoing projects and defense innovation capabilities, visit the VISIMO newsroom.
VISIMO, founded in 2015, specializes in artificial intelligence, machine learning, and rapid prototyping solutions serving federal agencies and commercial customers. Committed to advancing national security and supporting regional economic development, VISIMO continuously delivers cutting-edge technologies designed to enhance operational effectiveness and informed decision-making. Learn more at VISIMO.ai.
Media Contact:
VISIMO Media Inquiries
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Government Disclaimer:
Effort sponsored by the U.S. Government under the Project Agreement. The U.S. Government is authorized to reproduce and distribute reprints for governmental purposes notwithstanding any copyright notation thereon. The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of the U.S. Government.
Tradewinds: The Tradewinds Solutions Marketplace is the premier offering of Tradewinds, the Department of Defense’s (DoD’s) suite of tools and services designed to accelerate the procurement and adoption of Artificial Intelligence (AI)/Machine Learning (ML),data, and analytics capabilities.
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]]>The post VISIMO Assessed “Awardable” for Department of Defense work in the CDAO Tradewinds Solution Marketplace appeared first on VISIMO - AI & Technology Solutions.
]]>The Tradewinds Solutions Marketplace is the premier offering of Tradewinds, the Department of Defense’s (DoD’s) suite of tools and services designed to accelerate the procurement and adoption of Artificial Intelligence (AI)/Machine Learning (ML), data, and analytics capabilities.
VISIMO’s solutions are designed to develop and deploy machine learning models, AI-enabled analytics platforms, and data-driven decision tools for government and commercial clients. They are used by a wide range of businesses, including federal agencies such as the Department of Defense, NASA, and the USDA, as well as Fortune 500 companies, small businesses, and organizations in sectors like healthcare, logistics, manufacturing, and construction safety.
“Being part of the Tradewinds Marketplace is a testament to VISIMO’s commitment to delivering innovative and scalable AI solutions that address the Department of Defense’s critical needs,” said James Julius, President & CEO of VISIMO. “We are honored to be recognized for our ability to deliver cutting-edge solutions that directly contribute to the mission success of our nation’s defense.”
VISIMO’s video, Medium-Range Reconnaissance (MRR) UAS, accessible only by government customers on the Tradewinds Solutions Marketplace, presents an actual use case in which VISIMO offers advanced Medium-Range Reconnaissance (MRR) UAS and matching Ground Control Station (GCS) solutions designed to enhance reconnaissance and operational capabilities. These systems provide extended ranges, longer endurances, and robust payload capacities, enabling superior situational awareness and decision-making capabilities across various applications. VISIMO was recognized among a competitive field of applicants to the Tradewinds Solutions Marketplace whose solutions demonstrated innovation, scalability, and potential impact on DoD missions. Government customers interested in viewing the video solution can create a Tradewinds Solutions Marketplace account at tradewindAI.com.
About VISIMO: VISIMO is a Carnegie, PA-based leader in AI engineering, specializing in creating advanced machine learning models, AI-driven analytics platforms, and custom software solutions. Since its founding in 2015, VISIMO has supported federal agencies like the Department of Defense, NASA, and the USDA, as well as private sector clients in healthcare, logistics, manufacturing, and more. VISIMO is dedicated to delivering innovative, scalable, and impactful solutions that enable mission-critical decision-making and operational excellence. For more information or media requests, contact: Media Requests, [email protected].
About the Tradewinds Solutions Marketplace: The Tradewinds Solutions Marketplace is a digital repository of post-competition, readily awardable pitch videos that address the Department of Defense’s (DoD) most significant challenges in the Artificial Intelligence/Machine Learning (AI/ML), data, and analytics space. All awardable solutions have been assessed through complex scoring rubrics and competitive procedures and are available to Government customers with a Marketplace account. Government customers can create an account at www.tradewindAI.com. Tradewinds is housed in the DoD’s Chief Digital Artificial Intelligence Office.
For more information or media requests, contact: [email protected]
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]]>The post VISIMO AI Spacecraft Operations to Enhance Mission Resilience with ABOVE Space Partnership appeared first on VISIMO - AI & Technology Solutions.
]]>HUNTSVILLE, AL, October 10, 2024 — VISIMO is leading the way in space exploration with its AI spacecraft operations technology. This system makes missions safer and easier to manage. It enhances autonomous spacecraft systems and builds reliable AI-powered spacecraft systems. VISIMO is partnering with ABOVE Space Development Corporation to test its Cognitive Architecture (CA). This project will improve mission safety and success.
Space missions face many risks. Systems can fail, and communication with Earth is often slow. Delays make solving problems harder. VISIMO’s Cognitive Architecture is designed to address these challenges.
The system finds issues automatically. It fixes them without human help. This keeps missions running smoothly, even in emergencies. Crews can stay focused on their work. They don’t have to waste time troubleshooting.
VISIMO’s tools improve mission safety and reliability. Phase II builds on earlier work completed in Phase I. In the first phase, VISIMO created tools that prepared missions for future challenges. Learn more about the Phase I project here.
“This project with ABOVE Space shows how our system works in real missions,” said Alex Heit, VP of Government Markets and Growth at VISIMO. “It also provides live updates on spacecraft health and astronaut safety.”
ABOVE Space Development Corporation creates tools for space exploration. Their systems lower risks and reduce costs for companies. These tools are ideal for autonomous spacecraft systems.
VISIMO and ABOVE Space have a strong partnership. Together, they are creating more reliable AI-powered spacecraft systems. “VISIMO’s Cognitive Architecture is a perfect fit for our mission,” said Rhonda Stevenson, CEO of ABOVE. “We’re building tools that make missions safer and more efficient.”
For more details, visit ABOVE Space’s official press release.
Autonomous systems are essential for space exploration. VISIMO’s tools support some of the biggest projects, including work on the International Space Station (ISS). They also play a key role in NASA’s Moon to Mars program.
These systems reduce the need for ground crews. They make missions faster, safer, and more efficient. VISIMO’s AI-powered spacecraft systems improve reliability. They help missions achieve better outcomes.
VISIMO has a history of success. The company was a finalist for the Pittsburgh Technology Council’s 2020, 2022, and 2023 Tech 50 Awards. It is also a proud member of the System of Systems Consortium (SOSSEC).
VISIMO is an innovation-driven company specializing in artificial intelligence and technology solutions. Its AI spacecraft operations tools help missions overcome challenges in space. VISIMO works to improve safety, efficiency, and reliability for long-duration missions. By developing advanced systems like Cognitive Architecture, VISIMO is helping to shape the future of space exploration.
ABOVE Space creates tools and platforms for space exploration. Their systems help businesses succeed in projects of all sizes. ABOVE’s innovative solutions support safer and more efficient space missions.
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]]>The post Accelerating Legal Review with AILA – An AI-Driven Tool for the DoD appeared first on VISIMO - AI & Technology Solutions.
]]>The Artificial Intelligence Legal Assistant (AILA), developed by VISIMO, is a next-generation tool designed to streamline legal reviews in the Department of Defense’s deliberate targeting process. By leveraging advanced multimodal AI models and explainable AI (XAI) techniques, AILA enhances the efficiency of Judge Advocate General (JAG) officers in identifying discrepancies within targeting packages. Tested extensively with defense stakeholders, AILA reduces review times, improves accuracy, and addresses critical challenges in maintaining compliance with the Law of Armed Conflict.
Modern military operations generate massive amounts of multimodal data from sources like satellite imagery, intelligence reports, and communications logs. These data streams must be synthesized, analyzed, and verified for accuracy, particularly during the deliberate targeting process. JAG officers, responsible for legal review, face significant challenges managing this data under time constraints.
Errors in targeting packages—such as mismatches between image evidence and textual descriptions—can lead to operational delays, strategic setbacks, or legal violations. For example, a package containing an image of a hospital erroneously described as a weapons depot could result in unintended collateral damage or the loss of critical intelligence credibility.
While AI tools can assist with triaging large volumes of data, JAG officers must be able to trust these systems. Tools that fail to provide transparent reasoning or actionable insights risk rejection by end-users. AILA was designed with a commitment to explainability, ensuring officers can understand and rely on the system’s outputs to prioritize reviews.
Traditional systems rely on manual, labor-intensive processes for reviewing targeting packages. JAG officers must analyze hundreds of images and textual descriptions, cross-referencing them for consistency and accuracy. These workflows are not scalable, leading to delays and increased cognitive burdens on officers tasked with ensuring compliance under tight deadlines.
The stakes for legal reviews in military operations are high. Inaccurate assessments can lead to violations of international law, mission failures, and harm to civilians. Such errors not only jeopardize operational integrity but also risk severe reputational damage for the DoD.
To address these challenges, a successful solution must:
AILA was designed specifically to meet these requirements, incorporating cutting-edge AI technology and human-centered design principles.
AILA integrates advanced AI models and explainable AI techniques to support JAG officers during the deliberate targeting process. By processing image-caption pairs in targeting packages, AILA flags potential discrepancies and prioritizes packages requiring closer review. The system ensures officers focus on the most critical issues, reducing time and cognitive burdens.
The AILA dataset includes over 1,400 image-caption pairs, simulating real-world scenarios in deliberate targeting. Categories include buildings, infrastructure, weapons systems, and transportation hubs. VISIMO partnered with subject matter experts to ensure the dataset was representative, balanced, and free of bias, employing rigorous validation and manual annotation processes.
The BLIP architecture was fine-tuned for military applications, achieving a notable improvement in performance metrics. Accuracy increased to 81.94%, recall to 87.16%, and precision to 79.16%, ensuring that AILA could reliably identify discrepancies while minimizing false negatives.
AILA incorporates saliency maps and LIME explanations to provide transparent reasoning for its predictions. These tools empower JAG officers to understand not only which packages contain discrepancies but also why the system flagged them, building trust and enabling informed decision-making.
Feedback from JAG officers and other DoD stakeholders was integral to AILA’s development. Iterative testing and refinements ensured the tool aligned with operational needs, enhancing workflows without disrupting established processes.
Monte Carlo simulations demonstrated that AILA quadruples the rate at which JAG officers identify errors, with potential for tenfold increases in low-discrepancy scenarios. This efficiency allows officers to review more packages within constrained timelines, reducing operational bottlenecks.
AILA achieved significant improvements in key metrics compared to its initial baseline, demonstrating its reliability for detecting errors in targeting packages. The system’s high recall ensures critical discrepancies are rarely missed.
While designed for legal reviews, AILA’s architecture can be adapted for other defense applications, including battle damage assessment and intelligence validation. These capabilities position AILA as a versatile tool for the broader defense ecosystem.
AILA streamlines JAG officer workflows by prioritizing packages needing urgent attention and providing actionable insights for faster decision-making.
The system’s ability to identify inconsistencies between imagery and text makes it invaluable for intelligence analysts, enhancing the accuracy of operational planning.
AILA’s capabilities can be expanded to validate post-strike damage reports, ensuring comprehensive and accurate assessments of mission outcomes.
AILA represents a groundbreaking step in applying AI to military operations, delivering a scalable, explainable solution that streamlines workflows, enhances accuracy, and mitigates risks in legal reviews.
With continued refinements and deployment in DoD-approved environments, AILA is poised to revolutionize intelligence and operational workflows, offering value far beyond its initial use case.
“Discover how AILA is transforming military legal reviews. Contact VISIMO to learn more about deployment opportunities and collaboration.”
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]]>The post NASA GRAMS: Advancing Autonomous Spacecraft Systems – A Successful Phase I SBIR Initiative appeared first on VISIMO - AI & Technology Solutions.
]]>NASA’s Graceful Architecture for Mitigation of System Failures (GRAMS) project, developed under SBIR Phase I by VISIMO, addresses the challenges of autonomous failure detection and response in long-duration space missions. GRAMS leverages machine learning and digital twin technology to create a modular cognitive architecture capable of identifying and mitigating spacecraft failures in real time. The Phase I project validated the system’s feasibility through rigorous simulated testing and deployment on the Spaceborne Computer-2 (SBC-2) Test and Development System. This success led to a Phase II award, positioning GRAMS for real-world flight testing aboard the International Space Station (ISS).
In deep-space missions, communication delays can range from several seconds to over 22 minutes, creating a significant barrier for real-time problem-solving. These delays leave spacecraft and their crews vulnerable to escalating failures that require immediate intervention, making reliance on Earth-based operations untenable for missions to Mars or other distant targets.
Spacecraft systems face a variety of failure risks due to the unpredictable and hostile nature of space. Hardware malfunctions, exposure to extreme radiation, micrometeoroid impacts, and cascading system failures present significant challenges. Traditional systems that rely on predefined failure scenarios often fall short when addressing novel or “unknown unknown” issues, leaving missions at risk.
Traditional failure mitigation strategies depend heavily on redundant hardware or human intervention. Redundant systems add significant weight and cost, while human reliance is impractical for deep-space missions due to resource constraints and communication lags. An effective solution requires autonomous systems that can detect, analyze, and address failures without external input, ensuring mission continuity.
Modern spacecraft typically rely on pre-programmed fault detection methods, such as failure trees, which only address known scenarios. While this approach is effective for anticipated issues, it cannot account for novel or unexpected anomalies. Redundant hardware is often used as a safeguard, but this increases the overall weight and cost of missions, reducing payload capacity for scientific instruments or other mission-critical assets. These limitations create a growing need for systems capable of operating autonomously and dynamically in the unpredictable environment of deep space.
Failures in spacecraft systems can have catastrophic consequences, ranging from mission aborts to the loss of crewed vehicles. In long-duration missions, a minor malfunction can quickly escalate into a critical issue if not addressed promptly. For example, a pressure leak might start as a small anomaly but, without immediate action, could lead to life-threatening conditions. Additionally, delays in resolving failures can lead to the loss of millions of dollars in equipment and years of scientific research.
For missions beyond Earth orbit, spacecraft must incorporate systems that detect anomalies in real time, adapt to emerging conditions, and provide actionable solutions without requiring Earth-based assistance. These systems must also be scalable and modular to address a wide variety of missions, from robotic probes to crewed exploration vehicles. By integrating intelligent failure detection, simulation capabilities, and real-time decision-making, autonomous solutions can ensure mission success even in the face of unpredictable failures.
VISIMO’s GRAMS system is a modular cognitive architecture designed to detect, analyze, and mitigate spacecraft anomalies in real time. By leveraging machine learning and digital twin technology, GRAMS is capable of identifying both known and novel failures, simulating their impacts, and providing actionable solutions to mitigate risks.
GRAMS is built with modularity in mind, allowing it to adapt to diverse mission profiles while maintaining a high level of reliability.
The GRAMS system was rigorously tested in simulated environments designed to replicate conditions aboard the International Space Station (ISS). The Digital Twin modeled a range of failure scenarios, including pressure leaks, sensor malfunctions, and pump failures, demonstrating the system’s ability to detect and resolve anomalies efficiently.
GRAMS was deployed on Hewlett Packard Enterprise’s SBC-2 Test and Development System, an Earth-based replica of the ISS computing environment. This successful deployment validated GRAMS’ compatibility with space-grade hardware and its readiness for Phase II flight testing.
GRAMS’ plug-and-play architecture enables seamless integration with existing spacecraft systems, providing flexibility for both NASA missions and commercial applications.
The Risk Identification Algorithm (RIA) achieved precision of 0.895 and recall of 0.870, surpassing industry benchmarks for anomaly detection in spacecraft systems.
The Digital Twin accurately modeled failure scenarios, enabling robust training of machine learning models to handle both anticipated and unanticipated anomalies.
Based on Phase I’s success, GRAMS has been approved for Phase II testing aboard the ISS, marking a significant milestone in its development journey.
The GRAMS Phase I project successfully validated the system’s ability to enhance spacecraft resilience through intelligent failure detection and mitigation. Phase II will focus on real-world validation aboard the ISS, paving the way for widespread adoption in NASA missions, commercial aerospace, and terrestrial applications.
GRAMS is set to become a cornerstone of autonomous systems for deep-space exploration and high-risk operational environments, driving innovation across sectors.
Discover how GRAMS is transforming autonomous spacecraft systems. Contact VISIMO today to learn more or explore collaboration opportunities.
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]]>The post Aletheia – Advancing Image Forensics for Adversarial Data Detection appeared first on VISIMO - AI & Technology Solutions.
]]>VISIMO’s Aletheia is an advanced image forensics tool that empowers users to detect and analyze adversarial image manipulations, including deepfakes, splicing, and data poisoning. Designed to enhance data integrity and combat misinformation, Aletheia leverages cutting-edge AI and ensemble model techniques to provide unmatched accuracy in identifying manipulated content. With its scalable, user-friendly platform, Aletheia addresses critical national security challenges and supports a broad range of applications, from defense to law enforcement and media integrity.
Advancements in AI have made image manipulation tools more accessible, enabling malicious actors to create highly sophisticated deepfakes, spliced images, and poisoned datasets. These manipulations pose a direct threat to national security, with the potential to compromise intelligence, disrupt public trust, and manipulate foreign relations.
Current image forensics solutions fail to detect a wide range of manipulation techniques or lack the specificity and scalability required for comprehensive analysis. These limitations leave critical gaps in data security and reliability, exacerbating the risks of adversarial misinformation.
To combat this growing threat, a scalable and user-friendly platform is needed that can:
Current tools are typically limited to detecting narrow forms of manipulation and often require significant human intervention to interpret results. These gaps hinder the ability of federal agencies and private organizations to act quickly against misinformation threats.
Adversarial manipulations can compromise critical decisions in defense, law enforcement, and public relations. For example, deepfakes could mislead tactical operations or undermine public trust in media and government institutions.
An ideal tool must:
Aletheia employs a state-of-the-art ensemble of convolutional neural networks (CNNs) to detect three major types of image manipulation:
Aletheia was trained on a dataset of over 120,000 images, representing diverse manipulation methods. This robust dataset enabled the platform to generalize effectively across various scenarios, ensuring reliable performance.
The Aletheia application was designed with distinct user profiles, enabling secure, role-based access to results. The dashboard provides clear visualization of manipulation probabilities, heatmaps, and detailed analysis summaries.
The platform supports flexible deployment options, including on-premises installations and cloud-based environments, ensuring adaptability for federal agencies, forensic teams, and private organizations.
Aletheia delivers industry-leading accuracy across all tested manipulation types. Its ensemble model approach significantly outperformed existing solutions in precision and recall, ensuring fewer false negatives and positives.
Batch processing capabilities and intuitive dashboards reduced analysis time by over 50%, enabling users to focus on high-priority threats.
While initially designed for defense use cases, Aletheia has proven valuable in law enforcement, public relations, and media verification, addressing the broader challenges of data integrity.
Aletheia empowers federal agencies like DARPA and NGA to detect adversarial manipulations, bolstering data integrity in critical intelligence operations.
The platform supports criminal investigations by validating the authenticity of image evidence, ensuring accurate legal outcomes.
Aletheia identifies manipulated images used in misinformation campaigns, helping organizations protect their reputations and respond to emerging threats.
Aletheia represents a transformative step forward in combating adversarial manipulations. By delivering scalable, explainable, and highly accurate analysis, the platform enhances data security across industries.
VISIMO plans to expand Aletheia’s capabilities with additional manipulation detection techniques and integration with large-scale AI frameworks to address evolving threats.
Learn how Aletheia can enhance your organization’s data integrity and counter misinformation threats. Contact VISIMO to schedule a demo or explore partnership opportunities.
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]]>The post Autonomous Drone Navigation: VISIMO and UC Lead Innovation appeared first on VISIMO - AI & Technology Solutions.
]]>“NASA is working on ambitious, groundbreaking missions that require innovative solutions from a variety of sources, especially our small businesses,” said NASA Deputy Administrator Pam Melroy.
VISIMO’s prior success with NASA includes the GRAMS Phase I project, which focused on autonomous spacecraft operations. Now, VISIMO is leveraging that expertise to enhance autonomous drone systems and AI-powered drone navigation technologies.
VISIMO is partnering with the University of Cincinnati (UC) College of Engineering and Applied Science to create a testing environment for autonomous drone navigation systems. Using 3D simulation, the project will evaluate the safety and stability of autonomous drone systems under extreme conditions, such as sensor failures and severe weather.
UC’s expertise in aerospace engineering, led by Dr. Kelly Cohen, brings invaluable insight into this project. Learn more about Dr. Cohen’s work on his UC research profile. For additional details about UC’s role, visit their official press release.
This project focuses on certifying algorithms that enable safe and reliable autonomous drone systems. Certification ensures drones can safely operate beyond the line of sight. These tools validate key aspects of autonomous flight, including:
“Certifying autonomous drone systems ensures they meet rigorous safety standards for reliable operations in national airspace,” said Alex Moskowitz, VISIMO’s Principal Investigator. “This project will revolutionize industries like telehealth, search and rescue, delivery, and agriculture.”
VISIMO’s success with NASA’s Phase II GRAMS project demonstrates their expertise in building AI-driven navigation systems. The lessons learned from GRAMS are directly applied to this initiative, advancing AI-powered drone navigation for future applications.
For more details, check out this article on Innovation News Network.
VISIMO’s AI-powered tools address real-world challenges in autonomous flight. These tools ensure that autonomous drone systems adapt to emergencies, such as sensor failures or severe weather. By certifying AI-powered drone navigation systems, VISIMO is helping make drone operations safer and more reliable.
“AI-powered drone navigation is critical to advancing safe, autonomous operations for national airspace,” said Alex Heit, VISIMO’s Vice President of Partnerships and Strategy.
For additional coverage of this partnership, visit DroneDJ and Unmanned Airspace.
VISIMO is an AI engineering think-tank headquartered in Carnegie, Pennsylvania. The company specializes in artificial intelligence and machine learning solutions for clients such as NASA, the Department of Defense, and other federal agencies. VISIMO’s mission is to develop cutting-edge technologies that solve real-world challenges in industries like aerospace, defense, and healthcare.
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]]>The post VISIMO and West Point Advancing Artificial Intelligence for Judge Advocates appeared first on VISIMO - AI & Technology Solutions.
]]>With the development of autonomous weapons, the speed of warfare is increasing. Stationed at combatant commands and Air Operations Centers worldwide, Judge Advocate General (JAG) Corps members provide critical legal advice during combat, including use-of-force decision-making recommendations. However, Judge Advocates are not equipped to keep pace with modern combat.
“The modern battlespace is filled with autonomous systems,” said Dino Mintas, Chief Data Scientist at VISIMO. “Because the JAG Corps still uses a largely manual process for use-of-force review, this creates a bottleneck that endangers the Warfighter and the U.S. military’s tactical advantage.”
VISIMO’s AI tool will use a combination of Natural Language Processing (NLP) and Computer Vision (CV) techniques to help Judge Advocates quickly and correctly analyze targeting packages for legal review.
Not only will this application benefit the Department of Defense (DoD), but it also has significant implications for improving the civilian legal system.
A study from the Brennan Center for Justice found that public defenders typically spend under six minutes on cases where clients plead guilty and are sentenced in their first appearance. This finding indicates that because of extreme caseloads, defenders cannot adequately represent clients’ interests. When adapted for civilian use cases, VISIMO’s AI tool could help defenders save time by highlighting relevant information in case files.
World-leading legal experts from West Point’s Lieber Institute are informing the tool’s development. The Lieber Institute focuses on the most complex problems surrounding the law of war, including the intersection of law and AI. Legal experts include Professor Michael Schmitt, who is a distinguished scholar at both West Point and the U.S. Naval War College, as well as a senior fellow at the North Atlantic Treaty Organization (NATO) Cooperative Cyber Defense Center of Excellence.
This award marks West Point’s first ever STTR award.
“We’re proud to be the first small business to work with West Point in the STTR program,” said James Julius, VISIMO founder and CEO. “To have top legal experts, including former JAG Corps members, so excited about this project highlights its potential.”
VISIMO and West Point are currently seeking collaborators across the DoD to support the project’s continued development in Phase II. Interested parties are encouraged to contact Alex Heit, Vice President of Partnerships & Strategy at VISIMO.
[This material is based upon work supported by the United States Air Force AFRL/RG under Contract No. FA864922P0077. Any opinions, findings and conclusions or recommendations expressed in this material are those of the author and do not necessarily reflect the views of the United States Air Force AFRL/RG.]
Contact: Alexander Heit, (412) 615-4372, [email protected]
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]]>The post VISIMO Wins Phase II Air Force Award to Tackle Training Data Problem for AFRL appeared first on VISIMO - AI & Technology Solutions.
]]>Air Force Research Laboratory, Information Directorate (AFRL/RI) is collaborating as the end-user of VISIMO’s technology. AFRL/RI works to prototype game-changing technologies, transitioning them to interested users across the Air Force and Department of Defense. VISIMO’s technology will aid the Lab in the development of a broad range of technologies.
“Specialized, large-scale datasets are required to train machine learning models. The advancement of ML and what these models can accomplish are often slowed due to a lack of appropriate training data,” said VISIMO’s Chief Data Scientist, Dino Mintas.
Researchers are often forced to manually create training datasets, which is especially cumbersome when specialized or rare image data are needed. Models that train on overhead imagery include tracking and detection algorithms – the types of models used for autonomous vehicle navigation, humanitarian aid drops, wildfire management, search and rescue, and more.
VISIMO is building a conditional generative adversarial network (CGAN) that learns to generate unlimited original backgrounds from a limited amount of landscape images. It then inserts annotated objects into the generated backgrounds, automating a typically manual process. In Phase I, the CGAN proof-of-concept focused on overhead satellite imagery and in Phase II it will be expanded to other types of image data, like SAR or radar/lidar.
Phase II will focus on expanding the number of specialized output parameters the CGAN can create, including various security features, biome changes like snow or desert, and visibility changes like shadow, sunlight, fog, or smoke. Phase II builds from successful Phase I work, in which the proof-of-concept generated full, customized datasets in just 15 minutes.
The Air Force granted the 15-month, $750,000 award based on the potential impact of VISIMO’s proposed R&D. Dr. Steven Simske, former Director of Security at HP Labs, and current Professor at Colorado State University, sees the work as an opportunity to develop novel security features in synthetic data.
“The work has potential security, privacy, access control, and authentication applications in areas like tracing, object recognition, biometrics, and scene analysis,” he said. “Taking the concepts of red team/blue team in cybersecurity and cyber-physical security to GAN networks is a natural progression in the field of machine intelligence and will help the blue teams be able to stay ahead in the arms race of data manipulation.”
VISIMO is actively seeking additional government and private-sector end-users for the developing technology.
This material is based upon work supported by the United States Air Force under Contract No. FA864921P1505. Any opinions, findings and conclusions or recommendations expressed in this material are those of the author and do not necessarily reflect the views of the United States Air Force.
Media Contact: Alexander Heit, (412) 615-4372, [email protected]
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]]>The post krtkl, VISIMO, and Textron Systems to Build Sensor Fusion Platform for Robotic Combat Vehicles through U.S. Army Award appeared first on VISIMO - AI & Technology Solutions.
]]>RCVs are powerful tools that give the Army a distinct wartime advantage, but to realize this advantage, RCVs must integrate into tactical operating environments and the Army maintenance infrastructure.
krtkl’s Phase I project will focus on maximizing vehicle uptime, efficiency, and service life, while minimizing maintenance costs, manual diagnostics, and supply chain delays through a seamless integration of vehicles, sensor hardware, and software.
“krtkl’s snickerdoodle has been recognized across industries as one of the most capable edge-computing platforms on the market,” said Ryan Cousins, krtkl’s CEO. “We’re excited to partner with VISIMO’s artificial intelligence and machine learning research team and work with Textron Systems’ RIPSAW® M5 vehicle, which together represent the future of Army AI and autonomy innovation.”
VISIMO is currently under contract and working with the Army AI Integration Center (AI2C) on Coeus, a state-of-the-art cloud development platform, while Textron Systems’ M5 ground robotic vehicle is part of the Next Generation Combat Vehicle (NGCV) RCV Program.
“Project Coeus is at the heart of the Army’s AI efforts,” said James Julius, President and CEO at VISIMO. “This award, and the potential to integrate Coeus with robotic vehicle systems, will enable Coeus to tie AI R&D and applied predictive maintenance together, maximizing the Army’s ability to use and share the innovative technologies in development.”
krtkl will utilize Textron Systems’ test data to enable a prototype that integrates efficiently with existing systems such as Textron Systems’ M5.
David Phillips, Senior Vice President, Textron Systems said, “Our M5 vehicle will protect soldiers on the battlefield while providing an unprecedented level of integrated capability. This award will allow us to continue working closely with our customers to accelerate the effective use of ground robotic vehicles within their tactical operations.”
Over the course of the contract, work will include four site visits to Army bases around the country to better understand the needs of the end-user and tailor the prototype to real-world use by, and for, the warfighter.
Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the Army Futures Command – Army Applications Laboratory.
About krtkl
krtkl (“critical”) is an edge-computing and integrated-systems company solving complex problems in ‘hard’ real-time applications. krtkl provides ruggedized, high-reliability embedded and networking solutions used for mechatronic control, sensing, and communications. Learn more about krtkl’s products and services at: https://krtkl.com
Contact:
krtkl Press
krtkl inc.
[email protected]
415.857.4857
About VISIMO
VISIMO is a visual analytics, machine learning, and AI company providing software products and tools to businesses and government agencies. VISIMO builds and designs custom algorithms, web applications, and models through research and innovation to generate unique and actionable outcomes with a human-centered approach. For more information, please visit: https://visimo.ai/
Contact:
Alex Heit
Vice President – Partnerships & Strategy at VISIMO
[email protected]
412.615.4372
About Textron Systems
Textron Systems is a world leader in unmanned air, surface and land products, services and support for aerospace and defense customers. Harnessing agility and a broad base of expertise, Textron Systems’ innovative businesses design, manufacture, field and support comprehensive solutions that expand customer capabilities and deliver value. For more information, visit www.textronsystems.com.
Contact:
Public Relations Team
Textron Systems
978-657-2020
[email protected]
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