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🚨 Palantir Wins $480M Contract for AI Battlefield Analysis System The US Department of Defense has awarded Palantir a significant $480 million contract to develop the prototype of the Army’s Maven Smart System project, an AI-enabled tool for battlefield analysis. This initiative, conceptualized in 2017, aims to leverage artificial intelligence and machine learning to enhance military operations' efficiency. The project is expected to show substantial progress by May 2029. Maven Smart System Overview: The Maven Smart System integrates diverse data sources, including satellite imagery, geolocation data, and intercepted communications, into a unified interface for battlefield analysis. It utilizes off-the-shelf technologies and advanced machine learning to autonomously identify potential targets, combining data from satellite and drone images, surveillance videos, and intercepted communications to locate and pinpoint these targets. Project Maven’s Role and Capabilities: Project Maven, central to the US military's AI efforts, has been deployed globally with promising results. Beyond target recognition, Maven enhances ground awareness and identifies troop movements. It also supports logistics and other detailed operations essential for smooth ground operations. Quietly emerging as a key feature in the US military, Project Maven is poised to significantly impact the country's defense and offensive capabilities. Palantir’s AI Credentials: Palantir, a US-based AI firm, has a strong track record in defense-related projects. The new contract adds to its portfolio, following recent contracts with South Korean shipbuilder HD Hyundai Heavy Industries for an unmanned surface vessel and a $250 million US Army AI research contract. These projects highlight Palantir's expertise in AI and machine learning, contributing to the growing interest in AI and ML in defense sectors worldwide. AI and ML in Modern Warfare: The US Department of Defense is actively developing AI-related products to improve efficiency and streamline ground operations. Interest in AI and ML in defense has surged, with countries like Israel and China also experimenting with these technologies. The rise of drone warfare underscores the importance of systems like Maven. In 2020, the US successfully deployed an AI system to identify and destroy a target during an exercise at Fort Liberty, North Carolina, demonstrating the practical application of AI in modern warfare. 🚨 Weekly AI Newsletter: https://t.co/6HyjyF5Pwz #palantir #ai #tech #engineering #warfare #weapons

The Air Force Bought a Surveillance-Focused AI Chatbot: The U.S. Air Force paid for a test version of an AI-powered chatbot to assist in intelligence and surveillance tasks as part of a $1.2 million deal, according to internal Air Force documents obtained by 404 Media. From the report: The news provides more insight into what military agencies are currently exploring using AI for, and comes as more AI companies eye the military space as a business opportunity. OpenAI, for instance, quietly removed language that expressly prohibited its technology for military purposes in January. "Edge Al Platform for Space and Unmanned Aerial Imagery Intelligence," a section of one of the documents reads. The contract is between the Air Force and a company called Misram LLC, which also operates under the name Spectronn. Included in a "milestone schedule" explaining the specifics of the deal are the items "ISR chatbot design" and "ISR chatbot software." ISR refers to intelligence, surveillance, and reconnaissance, a common military term. Other items in the schedule include "data ingestion tool" and "data visualization tool." 404 Media obtained the documents through a Freedom of Information Act (FOIA) request with the Air Force. On its website, Spectronn advertises an "AI Digital Assistant for Analytics." It says the bot can take data such as images and videos, and then answer plain English questions about that information. "Current analytics dashboard solutions are complex and not human-friendly. It leads to severe latency (from hours to days), cognitive load on the data analyst, false alarms, and frustrated decision makers or end-users," it reads. Read more of this story at Slashdot.

The Air Force Bought a Surveillance-Focused AI Chatbot: The U.S. Air Force paid for a test version of an AI-powered chatbot to assist in intelligence and surveillance tasks as part of a $1.2 million deal, according to internal Air Force documents obtained by 404 Media. From the report: The news provides more insight into what military agencies are currently exploring using AI for, and comes as more AI companies eye the military space as a business opportunity. OpenAI, for instance, quietly removed language that expressly prohibited its technology for military purposes in January. "Edge Al Platform for Space and Unmanned Aerial Imagery Intelligence," a section of one of the documents reads. The contract is between the Air Force and a company called Misram LLC, which also operates under the name Spectronn. Included in a "milestone schedule" explaining the specifics of the deal are the items "ISR chatbot design" and "ISR chatbot software." ISR refers to intelligence, surveillance, and reconnaissance, a common military term. Other items in the schedule include "data ingestion tool" and "data visualization tool." 404 Media obtained the documents through a Freedom of Information Act (FOIA) request with the Air Force. On its website, Spectronn advertises an "AI Digital Assistant for Analytics." It says the bot can take data such as images and videos, and then answer plain English questions about that information. "Current analytics dashboard solutions are complex and not human-friendly. It leads to severe latency (from hours to days), cognitive load on the data analyst, false alarms, and frustrated decision makers or end-users," it reads. Read more of this story at Slashdot.

The Air Force Bought a Surveillance-Focused AI Chatbot: The U.S. Air Force paid for a test version of an AI-powered chatbot to assist in intelligence and surveillance tasks as part of a $1.2 million deal, according to internal Air Force documents obtained by 404 Media. From the report: The news provides more insight into what military agencies are currently exploring using AI for, and comes as more AI companies eye the military space as a business opportunity. OpenAI, for instance, quietly removed language that expressly prohibited its technology for military purposes in January. "Edge Al Platform for Space and Unmanned Aerial Imagery Intelligence," a section of one of the documents reads. The contract is between the Air Force and a company called Misram LLC, which also operates under the name Spectronn. Included in a "milestone schedule" explaining the specifics of the deal are the items "ISR chatbot design" and "ISR chatbot software." ISR refers to intelligence, surveillance, and reconnaissance, a common military term. Other items in the schedule include "data ingestion tool" and "data visualization tool." 404 Media obtained the documents through a Freedom of Information Act (FOIA) request with the Air Force. On its website, Spectronn advertises an "AI Digital Assistant for Analytics." It says the bot can take data such as images and videos, and then answer plain English questions about that information. "Current analytics dashboard solutions are complex and not human-friendly. It leads to severe latency (from hours to days), cognitive load on the data analyst, false alarms, and frustrated decision makers or end-users," it reads. Read more of this story at Slashdot.

5️⃣ Facts Friday: 1) A major collaboration between leading AI experts around the world has produced an “International Scientific Report on the Safety of Advanced AI: Interim Report.” https://lnkd.in/ejhqA39S + The UK government commissioned the report, which was overseen by an international Expert Advisory Panel made up of 30 countries. + The report finds that “as general-purpose AI capabilities continue to advance, risks such as large-scale labor market impacts, AI-enabled hacking or biological attacks, and society losing control over general-purpose AI could emerge, although the likelihood of these scenarios is debated among researchers.” 2) Google DeepMind introduced its Frontier AI Safety Framework, “a set of protocols for proactively identifying future AI capabilities that could cause severe harm and putting in place mechanisms to detect and mitigate them.” https://lnkd.in/eG3GYr9F + The Framework is analogous to Anthropic’s Responsible Scaling Policy and OpenAI’s Preparedness Framework for catastrophic risks. + DeepMind plans to regularly assess advanced AI models against pre-defined “Critical Capability Levels” and implement additional safeguards when models start to approach risk thresholds in areas like autonomy, biosecurity, cybersecurity, and AI research. 3) President Biden signed into law the Federal Aviation Administration (FAA) Reauthorization bill, which includes a directive for the FAA to “establish a comprehensive plan for the integration of autonomous unmanned aircraft systems into the national airspace system.” https://lnkd.in/e9nhvWjW + In establishing the plan, the FAA will “identify which FAA rules, procedures, and systems need to be updated to accommodate the changing role of drone operators who are increasingly relying on automation.” 4) One of the leaders of OpenAI's AI safety efforts, Jan Leike, resigned from the company due to concerns about the company's current trajectory and seriousness with regards to the safety of future AI systems. https://lnkd.in/eCZ7qsdc + “Over the past years, safety culture and processes have taken a backseat to shiny products,” wrote Leike. 5) US government officials met with Chinese government officials in Geneva to discuss AI safety and AI risks. https://lnkd.in/ebdrHD-s + An official White House statement says the US and China “exchanged perspectives on their respective approaches to AI safety and risk management” in a “candid and constructive discussion.” + The US also “raised concerns over the misuse of AI, including by the PRC.” #AI #AIPolicy #FiveFactsFriday

Generative AI, heralded as a transformative force in defense strategies, is poised to revolutionize the landscape of security and warfare. As highlighted by a recent article on CIO.com, the potential of generative AI as a force multiplier in defense...

Su uyur, düşman uyumaz yazardı, tersanenin girişinde Ama artık bizi koruyacaklar uykuda, Google bizim her şeyimizi arşivliyor, hatta kullanılan wifi ve diğer em yayınlarda; İzmit körfezinin dibindeki bölgede de Googlun arabasını geçerken gördüm, o antenler antenleri TRT 1 dinlemek için değildi “From Wikipedia, the free encyclopedia Project Maven (officially Algorithmic Warfare Cross Functional Team) is a Pentagon project involving using machine learning and data fusion to process data from many sources, identify potential targets, display information through a user interface, and transmit human decisions to weapon systems, among other functions. It began in 2017. Since 2021, it had been used in multiple military conflicts involving the US. Origins Initially, the effort was led by Robert O. Work who was concerned about China's military use of the emerging technology.[1] Reportedly, Pentagon development stops short of acting as an AI weapons system capable of firing on self-designated targets.[2] The project was established in a memo by the U.S. Deputy Secretary of Defense on 26 April 2017.[3] At the second Defense One Tech Summit in July 2017, Cukor also said that the investment in a "deliberate workflow process" was funded by the Department [of Defense] through its "rapid acquisition authorities" for about "the next 36 months".[4] According to Lt. Gen. of the United States Air Force Jack Shanahan in November 2017, it is "designed to be that pilot project, that pathfinder, that spark that kindles the flame front of artificial intelligence across the rest of the [Defense] Department".[5] Its chief, U.S. Marine Corps Col. Drew Cukor, said: "People and computers will work symbiotically to increase the ability of weapon systems to detect objects."[6] Project Maven has been noted by allies, such as Australia's Ian Langford, for the ability to identify adversaries by harvesting data from sensors on UAVs and satellite.[7] In 2022, the National Geospatial-Intelligence Agency took over Project Maven.[8] Technology Project Maven involves data fusion. For data fusion, the Pentagon originally collaborated with Google, but in 2018, Google employees, including Meredith Whittaker, staged walkouts protesting Google's involvement in Project Maven.[9][10] Subsequently, Google did not renew the contract with Pentagon.[11] Companies that have contributed to the data fusion include Palantir Technologies, Amazon Web Services, ECS Federal, L3Harris Technologies, Maxar Technologies, Microsoft and Sierra Nevada Corporation. The main data-fusion platform is made by Palantir.[12] At least 21 private companies had been involved.[13] >>>comments

🤖 🛩 Drones and Visual AI 🛥 🤖 ❗ Want to catch up on whats happening in the field? If you have sometime, give it a watch to see what is happening! ❗ I gave a talk today about the state of Visual AI and Drones today and figured, why not share it with everyone! 😃 Let me know if you like this type of content and I will be sure to make more! I've covered healthcare and drones now, still plenty of industries left! Just trying to nail down the right length and form of the content :) Enjoy! https://lnkd.in/etk8_RSK #drones #machinelearning #visualai #artificialintelligence #surveillance #fiftyone

Five Years Later and these trends are on its way! 🌎 Five years have passed since the publication of this article https://entm.ag/w6v and I am pleased to say that its content is still as relevant as ever. In fact, I would like to add an additional consideration that has become even more important in recent years: the crucial role of AI-assisted geoprocessing in geospatial data science. AI has the potential to revolutionize the way we collect, analyze, and visualize geospatial data. One example of this is the segmentation of geospatial objects from aerial or satellite images. This technology allows for the automatic identification and extraction of specific features, such as buildings, roads, or water bodies, from raw images. https://entm.ag/w6v 🌎 #geospatialdata #AI #geoprocessing #imagesegmentation #LiDAR #GIS #bigdata

Destroy to the graveyard- The current video shows what Israel has been doing with Hizbollah terrorists. Artificial intelligence Boon or Doom. Israel's military employs advanced AI-powered technologies for targeted operations. While exact details are classified, I'll outline potential AI technologies used for precise targeting: *Intelligence, Surveillance, and Reconnaissance (ISR)* 1. Satellite Imagery (Ofek series): High-resolution optical and SAR (Synthetic Aperture Radar) imaging for target identification. 2. Aerial Surveillance (IAI Heron, Elbit Hermes): UAVs equipped with electro-optical/infrared sensors and SIGINT capabilities. 3. Signal Intelligence (IAI Hermoni): Intercepting and analyzing communication signals. *Data Analysis and Fusion* 1. Artificial Intelligence (AI) and Machine Learning (ML) algorithms: - Object detection (YOLO, SSD, Faster R-CNN) - Target tracking (Kalman filters, particle filters) - Predictive analytics (neural networks, decision trees) 2. Data fusion: Integrating ISR data with other sources (HUMINT, OSINT) *Precision Strike Systems* 1. Guided Munitions (Rafael Spike, IAI Arrow): AI-enabled precision-guided missiles. 2. Autonomous UAVs (Elbit Skystar): Real-time targeting and adaptability. *Scientific Components* 1. Computer Vision: Image processing, object recognition, and tracking. 2. Natural Language Processing (NLP): Analyzing communication signals. 3. Geospatial Analysis: Mapping and terrain analysis. 4. Real-time Processing: Advanced computing architectures (GPUs, TPUs). *Potential Operational Workflow* 1. ISR assets gather data on targets. 2. AI-powered analysis identifies and tracks targets. 3. Data fusion combines ISR data with other sources. 4. Precision strike systems receive targeting information. 5. Autonomous UAVs or guided munitions execute strikes. *Important Note:* The specifics of Israel's military technologies and operations remain classified. This outline provides a hypothetical understanding of potential AI technologies used. Sources: - "Israel's Military Intelligence Unit 8200" (Forbes) - "Israel's AI-powered military" (The Jerusalem Post) - "Elbit Systems' Skystar UAV" (Defense News) - "Rafael's Spike Missile System" (Defense Update) #sandipchowdhry friendship till graveyard 🪦 enemy till graveyard