Have you already downloaded our latest book? "Learning Techniques for the Internet of Things," by Praveen Kumar Donta, Abhishek Hazra, and Lauri Lovén, have made a comprehensive guide that explores the integration of IoT with edge computing, federated learning, and AI. The book is structured into thirteen chapters and covers a wide range of applications in healthcare, transportation, and more. It also discusses the role of data-driven technologies in enhancing IoT communication and examines challenges and future directions in IoT deployments, particularly in smart cities. Advanced topics such as digital twins, multi-objective reinforcement learning, and quantum key distribution are also explored. This book is a must-read for professionals and researchers interested in the cutting-edge developments of IoT and its impact on various industries. Dive into the future of IoT and its transformative potential at https://lnkd.in/dz2RF4T2. #6GFlagship #UniOulu #IoT #EdgeComputing #AI
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Have you already downloaded our latest book? "Learning Techniques for the Internet of Things," by Praveen Kumar Donta, Abhishek Hazra, and Lauri Lovén, have made a comprehensive guide that explores the integration of IoT with edge computing, federated learning, and AI. The book is structured into thirteen chapters and covers a wide range of applications in healthcare, transportation, and more. It also discusses the role of data-driven technologies in enhancing IoT communication and examines challenges and future directions in IoT deployments, particularly in smart cities. Advanced topics such as digital twins, multi-objective reinforcement learning, and quantum key distribution are also explored. This book is a must-read for professionals and researchers interested in the cutting-edge developments of IoT and its impact on various industries. Dive into the future of IoT and its transformative potential at https://lnkd.in/dz2RF4T2. #6GFlagship #UniOulu #IoT #EdgeComputing #AI
New book by Praveen Kumar Donta, Abhishek Hazra, Lauri Lovén
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Have you already downloaded our latest book? "Learning Techniques for the Internet of Things," by Praveen Kumar Donta, Abhishek Hazra, and Lauri Lovén, have made a comprehensive guide that explores the integration of IoT with edge computing, federated learning, and AI. The book is structured into thirteen chapters and covers a wide range of applications in healthcare, transportation, and more. It also discusses the role of data-driven technologies in enhancing IoT communication and examines challenges and future directions in IoT deployments, particularly in smart cities. Advanced topics such as digital twins, multi-objective reinforcement learning, and quantum key distribution are also explored. This book is a must-read for professionals and researchers interested in the cutting-edge developments of IoT and its impact on various industries. Dive into the future of IoT and its transformative potential at https://lnkd.in/dz2RF4T2. #6GFlagship #UniOulu #IoT #EdgeComputing #AI
New book by Praveen Kumar Donta, Abhishek Hazra, Lauri Lovén
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We are excited to announce the release of our latest book, "Learning Techniques for the Internet of Things," by Praveen Kumar Donta, Abhishek Hazra, and Lauri Lovén. This comprehensive guide explores the integration of IoT with edge computing, federated learning, and AI. The book is structured into thirteen chapters and covers a wide range of applications in healthcare, transportation, and more. It also discusses the role of data-driven technologies in enhancing IoT communication and examines challenges and future directions in IoT deployments, particularly in smart cities. Advanced topics such as digital twins, multi-objective reinforcement learning, and quantum key distribution are also explored. This book is a must-read for professionals and researchers interested in the cutting-edge developments of IoT and its impact on various industries. Dive into the future of IoT and its transformative potential at https://lnkd.in/dz2RF4T2. #6GFlagship #UniOulu #IoT #EdgeComputing #AI
New book by Praveen Kumar Donta, Abhishek Hazra, Lauri Lovén
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Are you ready to elevate your skills in AI, Machine Learning, and IoT? Check out this comprehensive certification course that dives deep into these transformative technologies! Enroll now and be part of the future! 👉 Explore the course here: https://lnkd.in/eT-U-wJw #AI #MachineLearning #IoT #CareerDevelopment #TechSkills #ContinuousLearning
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Realise the potential of IoT Day by revisiting this exclusive IoT Community - Internet of Things Community® IoT Day Slam #MCIoTCoE Panel: AI-Powered Connectivity for Enhancing Communication Networks for IoT Applications. Todd Spraggins Oracle Communications, Divya Gupta, PhD SAS & Bob Proctor Link Labs. Now On-Demand. During MWC, GenAI was emphasized as being the perfect partner in the human-machine interface and augmenting what has already started with RPA. Taking things that are difficult and making them easier. Talking to the big global consulting firms at MWC- they are seeing potential productivity gains of 25-40% in these organizations which is massive compared to the industry. GenAI has its own area where it should be leveraged rather than replacing AI & other tools. GenAI models are more for creating new insights & predicting with deep learning capabilities. https://lnkd.in/erV_3WSQ #IoTCommunity #IoTSlam #IoT #IoTDay24 #GenAIoT #WorldIoTDay2024
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Discover how Generative AI and LLMs are revolutionizing IoT, enhancing smart cities, healthcare, and industrial automation, and unlocking innovative applications. Great job by my PhD student, Bin Xiao, and many thanks to all co-authors for their valuable contributions.
Pleased to share our latest preprint on 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 𝐚𝐧𝐝 𝐋𝐚𝐫𝐠𝐞 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐌𝐨𝐝𝐞𝐥𝐬 (𝐋𝐋𝐌𝐬) 𝐟𝐨𝐫 𝐈𝐨𝐓! We explore the transformative potential of Generative AI and LLMs in the Internet of Things (IoT) landscape. The fusion of these cutting-edge technologies opens up new possibilities for enhancing IoT systems, from smart cities and healthcare to industrial automation and beyond. Our research delves into how LLMs can improve data analysis, enhance communication between IoT devices, and foster innovative applications that were previously unimaginable. Kudos to our research centre's PhD student Bin Xiao for the hard work and dedication, and thanks to all co-authors for their contributions and inputs: Burak Kantarci, 𝐉𝐢𝐚𝐰𝐞𝐧 𝐊𝐚𝐧𝐠, Dusit Niyato, 𝐌𝐨𝐡𝐬𝐞𝐧 𝐆𝐮𝐢𝐳𝐚𝐧𝐢. Check out the full preprint here: Generative AI and Large Language Models (LLMs) for IoT: https://lnkd.in/erdvU_kM #IoT #GenerativeAI #LLMs #Research #Innovation
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Unlocking Potential with IoT & AI/ML The fusion of Internet of Things (IoT) and Artificial Intelligence/Machine Learning (AI/ML) is revolutionizing industries! Here’s how: Real-Time Insights: Instant, actionable data analysis. Predictive Maintenance: Foresee and prevent equipment failures. Personalization: Tailored experiences and solutions. Efficiency Boost: Streamlined operations and resource use. Embrace this powerful synergy to drive innovation and stay ahead. The future is here! #IoT #AI #MachineLearning #Innovation #DataAnalytics #HiteshiInfotech #SmartTechnology #FutureOfWork
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Pleased to share our latest preprint on 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 𝐚𝐧𝐝 𝐋𝐚𝐫𝐠𝐞 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐌𝐨𝐝𝐞𝐥𝐬 (𝐋𝐋𝐌𝐬) 𝐟𝐨𝐫 𝐈𝐨𝐓! We explore the transformative potential of Generative AI and LLMs in the Internet of Things (IoT) landscape. The fusion of these cutting-edge technologies opens up new possibilities for enhancing IoT systems, from smart cities and healthcare to industrial automation and beyond. Our research delves into how LLMs can improve data analysis, enhance communication between IoT devices, and foster innovative applications that were previously unimaginable. Kudos to our research centre's PhD student Bin Xiao for the hard work and dedication, and thanks to all co-authors for their contributions and inputs: Burak Kantarci, 𝐉𝐢𝐚𝐰𝐞𝐧 𝐊𝐚𝐧𝐠, Dusit Niyato, 𝐌𝐨𝐡𝐬𝐞𝐧 𝐆𝐮𝐢𝐳𝐚𝐧𝐢. Check out the full preprint here: Generative AI and Large Language Models (LLMs) for IoT: https://lnkd.in/erdvU_kM #IoT #GenerativeAI #LLMs #Research #Innovation
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"Excited to share my latest achievement: the publication of my first paper titled 'Enhancing Handwritten Alphabet Prediction with Real-time IoT Sensor Integration in Machine Learning for Image Recognition.' Delve into the intersection of IoT, machine learning, and image recognition as I explore innovative approaches to improving handwritten alphabet prediction.Thanks to Anurag Sinha Bhaiya for helping me. #machinelearning #iot #imagerecognition #research #Publication"
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Let us dive into how AI in IoT environment showcases the significant potential for transforming manufacturing and promoting the digital economy. 🎊 📙 Explore more: https://lnkd.in/eGewE2g2 Management and Science University #MSUMalaysiaGSM #Q1 #publication #AI #IoT
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