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Aquaculture field robotics: Applications, lessons learned and future prospects

Amundsen, Herman B., Xanthidis, Marios, Føre, Martin, Ohrem, Sveinung J., Kelasidi, Eleni

arXiv.org Artificial Intelligence

Abstract--Aquaculture is a big marine industry and contributes to securing global food demands. Underwater vehicles such as remotely operated vehicles (ROVs) are commonly used for inspection, maintenance, and intervention (IMR) tasks in fish farms. However, underwater vehicle operations in aquaculture face several unique and demanding challenges, such as navigation in dynamically changing environments with time-varying sealoads and poor hydroacoustic sensor capabilities, challenges yet to be properly addressed in research. This paper will present various endeavors to address these questions and improve the overall autonomy level in aquaculture robotics, with a focus on field experiments. We will also discuss lessons learned during field trials and potential future prospects in aquaculture robotics. Pictured is the facility at Rataren, Frøya.


Machine Learning: Algorithms, Models, and Applications

Sen, Jaydip, Mehtab, Sidra, Sen, Rajdeep, Dutta, Abhishek, Kherwa, Pooja, Ahmed, Saheel, Berry, Pranay, Khurana, Sahil, Singh, Sonali, Cadotte, David W. W, Anderson, David W., Ost, Kalum J., Akinbo, Racheal S., Daramola, Oladunni A., Lainjo, Bongs

arXiv.org Artificial Intelligence

Recent times are witnessing rapid development in machine learning algorithm systems, especially in reinforcement learning, natural language processing, computer and robot vision, image processing, speech, and emotional processing and understanding. In tune with the increasing importance and relevance of machine learning models, algorithms, and their applications, and with the emergence of more innovative uses cases of deep learning and artificial intelligence, the current volume presents a few innovative research works and their applications in real world, such as stock trading, medical and healthcare systems, and software automation. The chapters in the book illustrate how machine learning and deep learning algorithms and models are designed, optimized, and deployed. The volume will be useful for advanced graduate and doctoral students, researchers, faculty members of universities, practicing data scientists and data engineers, professionals, and consultants working on the broad areas of machine learning, deep learning, and artificial intelligence.


ANCIENT ALIENS- THE ARTIFICIAL HUMAN

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Are intelligent robots a threat to humanity--or the next step in human evolution? As man and machine begin to merge, are we fulfilling a destiny prepared for us by aliens thousands of years ago?


FinEduAI Artificial Intelligence project at Finnish high schools

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AI FOR GOOD PRIVACY

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Watson Conversation Using Cloud Functions

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IoT Voices with WIRED President, NXCAR

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IoT Voices with WIRED John Cohn, IBM Fellow and Chief Scientist

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