AI Grid’s Post

🌱 Collaboration Alert! 🌱 Babelscape, a pioneer in semantic AI, joins hands with the University of Florida's Agricultural and Biological Engineering Department to revolutionize agricultural research! Dive into our latest article to discover how Babelscape's cutting-edge semantic analytics are enhancing research efforts at UF 📊 Read the full article: https://ow.ly/hTvN50QykOM 🌍 #Babelscape #SemanticAI #MultilingualMedia

✨ Unlocking Insights Through Innovation ✨ Excited to have presented my research, "Corner Key Point Extracted Deep Learning Framework Based Birds Species Classification" (Paper ID: 887), at the 8th IEEE International Conference on Computational Systems & Information Technology for Sustainable Solutions (CSITSS). In a world of endless possibilities, this work explores a fascinating intersection of machine learning and nature, leveraging deep learning to classify bird species with precision and efficiency. It's a small step towards understanding biodiversity through technology—where every pixel tells a story, and every species counts. The conference, held at RV College of Engineering, brought together trailblazers from across the globe, and I’m humbled to have been part of such a dynamic exchange of ideas. A big thank you to the organizers, mentors, and peers for inspiring discussions and fresh perspectives. The journey doesn’t stop here—this is just the beginning of building impactful solutions for a sustainable tomorrow. Let’s continue to push boundaries and embrace innovation that creates value for the world. Kamalesh P #DeepLearning #AI #Biodiversity #SustainableTech #InnovationMeetsNature

🌐🔍 Introducing the groundbreaking realm of #𝗜𝗺𝗮𝗴𝗲𝗼𝗺𝗶𝗰𝘀 – where #MachineLearning meets #ComputerVision to revolutionize our understanding of biology! 🚀 At the forefront, researchers from @OhioState are harnessing AI to illuminate the intricacies of life on Earth. 🌿🐾 Their mission? To use advanced image analysis to answer questions that span from microcosmic to global scales. 🧬 Dive into #AI-powered discoveries as scientist Wei-Lun Chao unveils how imageomics propels us towards a future where we decode biological puzzles faster and more precisely. 🧠 From recognizing the subtlest patterns in butterfly wings to predicting ecological impacts, the potential applications are vast and transformative. 💡🦋 🛠️ Discover how custom #MachineLearningModels are breaking free from traditional constraints, reducing the need for exhaustive human annotation and speeding up scientific breakthroughs. Excited about a world where AI and scientific wisdom converge? 𝗜𝗺𝗮𝗴𝗲𝗼𝗺𝗶𝗰𝘀 is the harbinger of this synergistic dance. 🎓📈 Follow us for more updates on #TechInnovation and #EcologicalResearch! 🔔 Subscribe to our newsletter for the freshest #ScienceNews! #BiologyMeetsTech #FutureOfScience #AIResearch #EnvironmentalScience #OhioStateUniversity #ScienceDaily 🔗 Learn more about this fascinating development here: https://lnkd.in/g87GqTqe 👀 Stay tuned for what's unfolding in the vast canvas of #NaturalWorld exploration!

"🌿 Embracing Innovation in Agriculture: Unveiling BotaniScan's Cutting-Edge Technology 🚀 Dive into our latest research report exploring the revolutionary fusion of *CNN* Convolutional Neural Networks and image processing with talented team mates Mahnoor Sahil Aqsa Izma in a new era of plant analysis. With BotaniScan, we achieve unprecedented accuracy rates of 97% in plant identification, 89% in disease detection, and 80% in water level estimation. In this framework, three specialized deep learning models were developed relying on a distinctive convolutional network (CNN) architecture. The first model accurately recognizes apple, tomato, and grape plants, while the second identifies leaf spot disease affecting these plants. The third model estimates water levels using images of both healthy and diseased plant leaves. Notably, our proposed architecture outperformed existing classification methods, achieving impressive validation accuracies for plant identification, disease detection, and water level estimation. Join us in revolutionizing agriculture with advanced technology! #BotaniScan #AgriculturalInnovation #TechRevolution #PlantAnalysis"

How can AI support biodiversity without causing further environmental harm? “AI Risks and Opportunities for Biodiversity” is organized by the IEEE Technology Center for Climate (ITCC) in partnership with the Global Partnership on Artificial Intelligence (GPAI) RAISE project and supported by the Centre d’expertise international de Montréal en Intelligence artificielle (CEIMIA). 🤲 Join us for a discussion on the relationship between AI and biodiversity, as part of ITCC webinar series on AI and Sustainability. Artificial Intelligence (AI) is an enabling technology with promising applications across all sectors, including biodiversity preservation. At the same time, AI has its own environmental footprint. 🌍 👣 How to take into account both risks and benefits of AI for a responsible AI deployment will be discussed by a panel of experts including: 👨🏫 🎯 Raja Chatila, Professor Emeritus of Robotics, AI and Ethics at ISIR-CNRS / Sorbonne Université, and Global Partnership on AI. 🎯 Antoine Gagné-Turcotte, CTO, Co-Founder & Software Developer at Whale Seeker 🎯 Maik Schwalm, Head of Sustainability Cloud Infrastructure, Capgemini 🎯 Daniele Silvestro, Computational biologist at Université de Fribourg - Universität Freiburg and Co-founder of Captain technologies LTD. 🎯 Christopher Whitt, Senior Engineering and Safety Consultant Lloyd's Register Foundation; Past President, IEEE Oceanic Engineering Society. 🎯 Tanya Berger-Wolf, Director, Translational Data Analytics Institute, Professor, Computer Science Engineering, Electrical and Computer Engineering: Evolution, Ecology, and Organismal Biology, The Ohio State University, USA (moderator). 📢 Register now for 21 November  at 15:00 CET I 9 AM ET 🔗 https://lnkd.in/gJizndj4 #IEEE #GPAI #SustainableAI #CleanTechSolutions #AI #Biodiversity

Yesterday at #SynergyDays2024, during the workshop on AI for Earth Monitoring in Agriculture, our CEO, Stelios Kotsopoulos, presented Neuralio A.I.'s efforts to advance AI and Earth Observation for sustainable decision-making across sectors such as agriculture, renewable energy, and green credit. Through the Transition Neuralio project, we’re moving beyond traditional data interpretation, embracing predictive analytics that empowers stakeholders to anticipate future scenarios and make well-informed decisions. A central feature of Transition Neuralio is its ability to model what-if scenarios, enabling users to explore the potential impacts of different strategies and conditions, supporting proactive planning and sustainable resource management. The workshop provided the space to discuss the future capabilities of AI in EO and geospatial analytics, fostering meaningful exchanges on how these technologies can address emerging challenges. Thank you to everyone who participated and contributed to the discussions. #SynergyDays2024 #NeuralioAI #ESA #AI #EarthObservation #GreenFunding #PredictiveAnalytics #Sustainability #TRANSITIONProject #GeospatialAnalytics #DigitalTransformation #RenewableEnergy

The Genius of the Crowd! No, not the wonderful Bukowski poem. But a promising combination of AI and citizen science... Nature protection and restoration has a data problem. It's very hard to get a read on species and biodiversity with a high degree of accuracy. Despite advancements in eDNA, bioacoustic monitoring, camera traps etc, we still have to rely on personpower. Scientists at Berkley, California have correlated citizen science data from the iNaturalist app with high-resolution remote-sensing satellite images to produce a map of plant distributions throughout the state. 652,000 observations (image left) were used to train an AI model - combined with the 2012 National Agricultural Imagery Program (image right) - to predict the distribution of 2,221 species. The findings were published Sept. 5 in the journal Proceedings of the National Academy of Sciences by Moisés “Moi” Expósito-Alonso, a UC Berkeley assistant professor of integrative biology. “That is a goal — to expand it to many places,” Expósito-Alonso said. “Almost everybody in the world has smartphones now, so maybe people will start taking pictures of natural habitats and this will be able to be done globally. At some point, this is going to allow us to have layers in Google Maps showing where all the species are, so we can protect them. That’s our dream.” Empowering to think of the global smartphone network being put to good use... Thanks to Rob Wreglesworth for sharing. Image credit: Moi Exposito-Alonso and Lauren Gillespie, UC Berkeley Article link in comments. ---------------------------------------------------------------------------- 🌱 Follow me for updates on experience design and innovation in nature tech, and hopefully some uplifting news!

𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐏𝐚𝐩𝐞𝐫:- Our Goal:-Embarking on the initial stages of deep learning exploration, I begin the development of a research paper. 🌟 𝐄𝐦𝐛𝐚𝐫𝐤𝐢𝐧𝐠 𝐨𝐧 𝐭𝐡𝐞 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐉𝐨𝐮𝐫𝐧𝐞𝐲: 𝐈𝐧𝐯𝐞𝐬𝐭𝐢𝐠𝐚𝐭𝐢𝐧𝐠 𝐄𝐚𝐫𝐥𝐲 𝐃𝐢𝐬𝐞𝐚𝐬𝐞 𝐃𝐞𝐭𝐞𝐜𝐭𝐢𝐨𝐧 𝐢𝐧 𝐀𝐠𝐫𝐢𝐜𝐮𝐥𝐭𝐮𝐫𝐞 🌟 Thrilled to share that as the Second author, I had the honor of presenting a paper titled "𝐖𝐚𝐥𝐧𝐮𝐭 𝐋𝐞𝐚𝐟 𝐃𝐢𝐬𝐞𝐚𝐬𝐞 𝐈𝐝𝐞𝐧𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐰𝐢𝐭𝐡 𝐌𝐮𝐥𝐭𝐢-𝐋𝐞𝐯𝐞𝐥 𝐂𝐍𝐍 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞" at  𝐈𝐄𝐄𝐄'𝐬 prestigious 3rd International Conference for Innovation in Technology (INOCON 2024)! Our research delves into the transformative power of AI and deep learning, specifically harnessing the capabilities of a multi-level CNN model. We've been exploring how this technology can revolutionize early disease detection methods in agriculture, with a special focus on walnut leaves. 🌱 𝐎𝐮𝐫 𝐠𝐨𝐚𝐥? To redefine the landscape of agricultural practices by enhancing crop health and yield through AI-driven solutions. Witnessing the potential of AI to drive innovation in such a critical sector is truly inspiring! #𝐈𝐍𝐎𝐂𝐎𝐍 𝟐𝟎𝟐𝟒 provided an exceptional platform to engage with fellow researchers and industry leaders who share our passion for leveraging cutting-edge technologies like 𝐂𝐍𝐍 𝐦𝐨𝐝𝐞𝐥𝐬 to drive positive change in agriculture. A heartfelt thank you to the organizing committee for orchestrating such a valuable and enriching experience! Let's continue the conversation and explore the vast potential of AI and deep learning together, and let's discuss how these advancements can shape the future of agriculture and beyond! #INOCON2024 #IEEE #ai #deeplearning #cnn #agricultureinnovation #plantpathology #futureoftechnology #ieee #ieeeconference #ieeexplore 𝐏. 𝐒.-> 𝐈'𝐦 𝐚𝐜𝐭𝐢𝐯𝐞𝐥𝐲 𝐞𝐱𝐩𝐥𝐨𝐫𝐢𝐧𝐠 𝐭𝐡𝐞 𝐞𝐧𝐝𝐥𝐞𝐬𝐬 𝐩𝐨𝐬𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬 𝐨𝐟 𝐀𝐈 𝐚𝐧𝐝 𝐝𝐞𝐞𝐩 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠, 𝐩𝐚𝐫𝐭𝐢𝐜𝐮𝐥𝐚𝐫𝐥𝐲 𝐂𝐍𝐍 𝐦𝐨𝐝𝐞𝐥𝐬.

Deep learning to analyze plant features, accelerating design of climate-saving plants.

Our PREDICTOM journey is moving ahead with the next exciting step.