Leveraging Synthetic AI for Land Mine Detection AI is revolutionizing land mine detection in conflict zones like Ukraine. Traditional methods are slow and perilous, but synthetic AI offers a groundbreaking solution. 🌍🚀 syntheticAIdata, a Copenhagen startup, generates synthetic data to train AI models, significantly boosting accuracy and reducing costs. Their collaboration with the Demine Foundation has improved detection accuracy by 20% and halved false positives. These realistic synthetic images simulate diverse land mine scenarios, enhancing training effectiveness. 🛠️📊 To harness AI's potential for good, companies should educate themselves on the UN's Sustainable Development Goals, engage with AI for Good organizations, and invest in AI-driven humanitarian efforts. Read more here: https://lnkd.in/duK8PQX8 #AIForGood #SyntheticData #Innovation #LandMineDetection #TechForGood #SustainableDevelopment #AIInnovation #Drones #EdgeAI #SafetyFirst
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Generative AI is everywhere and, like you, I'm tired of bland copy wherever I go. However, I think it's incredibly good at synthesising complexity - and a handy tool to communicate niche topics to a general audience. So this afternoon, I asked a popular model to interview me and regurgitate what it had learned about Mount's Bay Labs, so anyone can get the gist of what I've built and where I plan to take it. Here's its response: 1️⃣ "What is Mount’s Bay Labs?" Mount’s Bay Labs is like a special helper for people who want to understand the world better. You use cool tools like satellites, drones, and special cameras to see things from high up in the sky and down on the ground. You help businesses, farmers, and scientists learn about changes in the environment, like how plants are growing or how the land is changing. 2️⃣ "What services does Mount's Bay Labs offer?" Research: You look for new and exciting ways to use tools. You find out how to make the best use of satellites and drones to help people understand their land and crops better. Consulting: You talk to businesses and farmers to help them figure out what they need. You show them how to use the information you gather to make smart choices, like when to plant seeds or how to take care of their fields. Communication: You help share all the cool things you find out with everyone. You write stories and make presentations so that people can understand the important information and use it to help the Earth. 3️⃣ "What's the big mission that inspires me to go to work?" Your mission is to help everyone see and understand the changes happening in our world. You want to make sure that people can use the information you provide to make good choices for the environment and for their businesses. You believe that by working together, we can take care of our planet and make it a better place for everyone!
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⭐ Great news from Oves Enterprise, one of the companies that were part of the #ROTechMission and a very valuable RO AI Alliance friend. 🚀 They have officially launched Nemesis AI, an artificial intelligence solution that marks a new chapter in the development of autonomous military technology (without direct human intervention). Unlike the traditional deep learning architecture used in the previous version of the solution, which used artificial neural networks implemented on conventional hardware, Nemesis AI relies on circuits and algorithms that mimic biological neurons and synapses. "This innovative approach allows data to be processed in a more natural and efficient way, significantly reducing the time and amount of data needed to train models," say the Romanian entrepreneurs. The AI solution mainly targets the defense and security industry, providing advanced solutions for autonomous military vehicles, such as drones, missiles and other tactical equipment, be it land, air or sea-based. 🎉 Super exciting, guys! We can't wait to see what happens next! -- Oves Enterprise is a Romanian software development and drone manufacturing company established in 2015 in Cluj-Napoca. #OvesEnterprise #AI #AISolution
Românii au dezvoltat un produs de inteligență artificială care poate fi folosit în industria de apărare
adevarul.ro
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AI Business & Strategy Expert I Public Speaker & Freelance Consultant I Founder AI Strategy Institute💡I University Lecturer to 1.000+ I Besides: Yoga teacher 🧘🏻♂️
Did you know that AI sometimes goes voting to? 😱 Researchers from ETH Zurich enable drones to fly through dense forests without collisions. This technique is a brilliant application of majority voting in AI. Here’s how it works: 1. Each algorithm analyzes the data and makes a prediction. 2. Every algorithm "casts a vote" for its predicted outcome. 3. The final prediction is determined by the majority of votes. This collective decision-making enhances overall accuracy and reliability— and I just love it! It’s a great example of how concepts from different fields find their way into the world of AI. Imagine deploying a hundred of these drones to search and map the forest with infrared—precisely finding and helping those in need. 🙏🏻 What do you think about this technique? #innovation #ai #technology
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| follow "globalnetwork" | President | New York City, NY | MOBILITY Digital Transformation
🔲 MANAGE 8-ARMED INTERSECTIONS OR ROUNDABOUTS. ◻ Traffic Data Collection from Camera and Drones. Get traffic data on your traffic surveys in the most convenient way ever. ◻ Traffic Data Analytics for Traffic Modelling. Automate your traffic model calibration and save time on manual labour. ◻ Real-time Traffic Monitoring. Get the most detailed and accurate traffic events for traffic control systems Learn more. 🔲 GoodVision Ltd provides automation tools in all stages of traffic projects, from AI traffic data collection to traffic modelling and real-time traffic control. credit/video: GoodVision/globalnetwork #machinelearning | #ai | #cv | #nlp | #robotics | #computervision | #3dmodelling | #opencv | #deeplearning | #yolo | #computervision | #objectdetection | #yolov9 | #yolov8 | #computervisionapplications | #ROS | #Multimodal | #Robotics | #Simulation | #GoodVision
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🔲 MANAGE 8-ARMED INTERSECTIONS OR ROUNDABOUTS. ◻ Traffic Data Collection from Camera and Drones. Get traffic data on your traffic surveys in the most convenient way ever. ◻ Traffic Data Analytics for Traffic Modelling. Automate your traffic model calibration and save time on manual labour. ◻ Real-time Traffic Monitoring. Get the most detailed and accurate traffic events for traffic control systems Learn more. 🔲 GoodVision Ltd provides automation tools in all stages of traffic projects, from AI traffic data collection to traffic modelling and real-time traffic control. credit/video: GoodVision/globalnetwork #machinelearning | #ai | #cv | #nlp | #robotics | #computervision | #3dmodelling | #opencv | #deeplearning | #yolo | #computervision | #objectdetection | #yolov9 | #yolov8 | #computervisionapplications | #ROS | #Multimodal | #Robotics | #Simulation | #GoodVision
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I am excited to announce that along with Technology Innovation Institute senior researchers Martin Andreoni, Willian Tessaro Lunardi, and Dr Shreekant (Ticky) Thakkar, our paper on Enhancing Autonomous System Security and Resilience With Generative AI: A Comprehensive Survey has now been published. We took a deep dive into the different types of generative AI and how they can be applied to improve the security, safety, and resilience of systems of systems across individual autonomous things like drones, collections of them, human drone interfaces, and cybersecurity. One particularly novel aspect of this research is we look at how to think about extending the zero trust paradigm from the cybersecurity domain to also consider some of the challenges of bolstering safety and resilience. You can read the whole paper here for free since it is open access: https://lnkd.in/eDd_HUvQ My hope is that this catalyzes more collaboration on ways we can combine zero-trust principles, autonomous systems, and AI to improve the resilience, safety, security, and trust for the systems that could help create a better world. #AI #GenAI
Enhancing Autonomous System Security and Resilience With Generative AI: A Comprehensive Survey
ieeexplore.ieee.org
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Exciting developments in the AI in Aviation Market are transforming the industry! According to a comprehensive report by Market Research Future, AI technologies are revolutionizing aviation by enhancing operational efficiency, improving customer experience, and ensuring greater safety. From autonomous drones and predictive maintenance to advanced air traffic management systems, AI is reshaping the future of aviation. With a projected CAGR of 46.83% by 2030, key innovations like natural language processing, machine learning, and computer vision are driving the sector forward. As the demand for smarter, more efficient aviation solutions grows, AI is set to play a pivotal role in shaping the future of global air travel. Learn more here: https://lnkd.in/dEai6rug. #Aviation #AI #Innovation #FutureOfTravel #AviationTech #ArtificialIntelligence
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Project Associate-I at ISRO-RB | PhD Scholar | AI-ML Consultant Certifications: Databricks x2| Altair x2| MongoDB x10 | IBM (cognitiveClass.ai) x7| Neo4j x8| NPTEL x6| Udemy x6
Kudos to DataFromSky for this intelligent sophisticated framework for turning camera into smart agents. This is a clear picture of how AI is improving the quality of lives by paving steps for Smart Cities. This caught my attention because of the following reasons: 1. Computer Vision: Leveraging advanced computer vision techniques, it interprets video data from cameras and drones to identify vehicles, pedestrians, and other traffic elements. 2. Real-Time Analytics: With the ability to understand traffic in milliseconds, it’s essential for adaptive control of traffic lights and immediate response to incidents. 3.Digital Twinning: I think this technology is moving in the direction of Digital twin where they will be to simulate real situations and their outcomes, ultimately allowing it to make better decisions. This tool is not just about managing traffic; it’s about creating smarter, safer, and more efficient urban spaces. I thought you might find this as fascinating as I do. #cv #deeplearning #AI #ComputerVision #InstanceSegmentation #YOLO #digitaltwin #smartcities #urbanplaning #smartTraffic #cognitiveComputing
🔲 THIS FRAMEWORK USES AI AND TURNS CAMERA INTO SMART SENSOR. The AI collaborates the cameras and creates unique single trajectory data, for object classification, speed measuring, stationary duration or distance measuring. 🔲 Drone traffic analysis allows you to cover large areas and can be done even for multi-level intersections. 👉 This requires a slightly different approach if using automated traffic analysis as trajectories get cut by larger overpasses. 👉 Nonetheless, you are still able to count the number of vehicles and their classes at each entry and exit. 🔲 DataFromSky: AI video analysis for traffic, parking, retail and safety. Want to detect the number of free and taken parking slots in an open area with a single camera? Count the number of people passing by your store? | #machinelearning | #ai | #cv | #nlp | #robotics | #computervision | #3dmodelling | #opencv | #deeplearning | #yolo | #computervision | #objectdetection | #yolov9 | #yolov8 | #computervisionapplications | #ROS | #Multimodal | #Robotics | #Simulation 'YZ' Yezhou Yang Duo Lu Wei Wang Steven Como, P.E., Ph.D. Jeffrey Wishart, Ph.D. Hongbin Yu Julius Kümmerle Tilman Kühner Niels Ole Salscheider Emil Ernerfeldt Nikolaus West Moritz Schiebold Glenn Jocher Muhammad Rizwan Munawar Arnaud Bastide Dragos Stan Chidera Stanley Ritesh Kanjee Steven Sturges Bharath Kumar Aleksandar Milosevic Metehan Serce Mfonobong Isine Raúl Moreno Femiloye Oyerinde Cheng Hwee Chee Mallesh Chatlapally Miguel Roldán Ritesh Kanjee Roger REYNES Eric Hénique Phil Nelson Raymond Lo 👓🤖
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Consultant in Patent Intelligence and Engineering Management
No data can be synthesized without real data. This has concerns of copyright infringement. Meanwhile, one critical element is missing here to make any data technologies, including AI, work: metadata. Metadata is an enabler for data analytics, whose purpose is to find the data we want. Is there any AI data products you know that can interpret and answer the following Chinese-English questions of data analytics? With our intellectual property (IP), we can provide real time answers for decision/policy making, with evidence. "Who, in the Ontario province of Canada, has new US patents granted on the nearest Tuesday, when the USPTO releases the newly granted US patents on a weekly basis?" "Who, in the "江蘇‘’ province of China, has new US patents granted on the nearest Tuesday, when the USPTO releases the newly granted US patents on a weekly basis?" Without metadata, NO data can be found/retrieved, even by the most advanced technologies, like AI, supercomputers, etc. https://lnkd.in/g-aJFnXR Our IP can also make your information service UNIQUE in the world. Do you or any of your contacts need our expertise and our IP? We're selling, NOT just talking. " P.S. We wrote this post ourselves, not by AI.
Here's a recent report from Gartner. What caught my eye is the rise of synthetic data ... Experts say that Data is the new oil in today’s age of AI - yet, one wonders that does this mean where only few can truly understand the implications of this notion. Synthetic data is annotated information that can be generated by computer simulations or algorithms as an alternative to real-world data. In other words, synthetic data is created in digital worlds rather than collected from or measured in the real world. Mostly, it may be artificial, but synthetic data reflects real-world data, mathematically or statistically. Such data simulates plausible real-world data which may not have been collected from the limited spectrum of experiences. Such data can complement the bias in the collection of real-world data. Research demonstrates it can be as good or even better for training an AI model than data based on actual objects, events or people. In a report on synthetic data, Gartner predicted by 2030 most of the data used in AI will be artificially generated by rules, statistical models, simulations or other techniques. This can be a game changer! It is a known fact that developers need large, carefully labeled datasets to train neural networks. It is also true that more diverse training data generally makes for more accurate AI models. The problem is gathering and labeling datasets that may contain a few thousand to tens of millions of elements is time consuming and often expensive. The rise of synthetic data - with properly defined parameters, artificially generated may costs much much lesser and within the switch of a well-defined simulation. That’s why developers of deep neural networks increasingly use synthetic data to train their models. The rise of synthetic data comes timely as more AI experts are rallying support for a benchmark or competition on data quality. More importantly, we must avoid the trap of confirmation bias that can skew AI models decision making.
30 Emerging Technologies That Will Guide Your Business Decisions
gartner.com
