Our Intelligent Arctic Vision: 2025 - 2040 скачать в хорошем качестве

Our Intelligent Arctic Vision: 2025 - 2040

Our Intelligent Arctic Environment: Future Vision: 2025 – 2040 The 24minute video presentation reviews potential practical applications of the emerging field of Artificial Intelligence (AI) to monitor & manage our arctic environmental assets & resources. (1) Personal Background: In June 1992 I first visited INEP/KSC - Kola-Peninsula & together with colleagues established the International KolaNet Programme for Environmental Monitoring using contemporary computer networking technologies including the Internet & Web Servers. For the 35th INEP Anniversary I review practical ways to apply AI to the challenges of arctic monitoring & consider a short-list of research & operational projects for the next 15 years. (2) Past Event Timeline: Birth of Computer Networking & Intelligence. The early pioneers of Statistical Learning included 18thC Thomas Bayes (1702-1761) who established Bayesian Learning that is now used extensively in Intelligent Cybersecurity & Advanced Machine Learning. Modern AI & Computing emerged 80 years ago in the early 1940s with the mathematical creation of Neural Networks & the first electronic computers such as “Colossus” in the UK. In 1973, already 50 years ago, I started by own PhD research into “Stochastic Machine Learning” and “Self-Organising Systems” at Cambridge University, UK (3) Present Day Research: Physical & Human Arctic Environment & Cyber Tech Support. There are already extensive applications of Big Data Mining, AI & Machine Learning and Real-Time Image & Sensor Surveillance within Arctic Scientific Research. The multi-dimensional environments researched include Water Resources & Living Organisms, Air Pollution & Meteorology, Human Activities, Towns & Industrial Enterprises, Terrestrial Organic Life including Plants, Forests & Animals, Arctic Transportation & Geological Surveys. (4) Future Vision 2025-2040: Practical Applications of AI & Machine Learning. We can consider the Arctic in both Physical Geographical Space as well as Temporal Events from Micro to Macro. I suggest that the ultimate aim of AI research tools is to establish a “Smart” or “Intelligent” Arctic that is to some extent able to self-monitor & triage alerts such as heavy metal water contamination, seismic events, chemical air pollution or possible radiation leaks. The Arctic Environment is so extensive in both Space & Time that during the coming 15+ years, AI will become an essential tool to monitor & apply the massive real-time data from the expanding network of active arctic sensors. It is already clear that AI will be of considerable use in the practical analysis of climate change, and long term assessment of arctic sea ice. Further applications of AI may be into the impact of industrial & geological enterprises within the dynamic arctic eco-system. Eventually we may expect that all aspects of Our Arctic Environments maybe explored in quasi-real-time through networked sensors & alerts triaged through a combination of AI Tools & Human Intelligence! Dedicated to Research Colleagues that left us since the 30th INEP Anniversary: Dr Alexander Perlikov (INEP Computing Resources) & Dr Anatoly Lukin (INEP Scientist - Water Ecosystems).