Exploring the universe through Artificial Intelligence

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Historical: intelligent automata (Talos), artificial beings (Galatea and Pandora), Ars Magna, a universal calculus of reasoning (the alphabet of human thought), the concept of "utility", the foundations of Bayes' theorem, artificial neural networks (the perceptron), Game Theory, the ratio Intelligent Machinery, Hebbian learning, Turing test, First functional AI programs; (inter)national conferences, behavior-based robotics, using machine learning algorithms to identify exoplanets, DARPA Grand Challenge, Artificial Compassionate Intelligence, use of AI in Martian exploration, deep learning network, spatial mapping, Asilomar Conference on Beneficial AI, language models (T‑NLG, GPT‑3), First Global Summit on AI Safety, Google releases Gemini 1.5, OpenAI publicly announces Sora, StabilityAI Announces Stable Diffusion 3, AI is constantly revealing new discoveries to us

Notable achievements: Discovery of exoplanets, Mapping of space, Autonomous planetary missions, Search for extraterrestrial intelligence, Simulation and modeling of the universe, Analysis of astronomical data, Finding space debris, Human-robot interaction, Extracting information from astronomical images, Identification of cosmic structures, Error correction of space instruments, Planning of space missions, Exploration of deep space, Prevention and anticipation of space disasters, Optimizing spacecraft performance and efficiency, Detecting cosmic signals, Analyzing planetary composition and structure, Assisting in lunar exploration; Machine Learning and Neural Networks, Natural and Conversational Language Processing, Artificial Vision and Image Processing, Robotics and Human-Machine Interaction, Data Processing and Data Mining, Security and Threat Detection, Health Care, Process Automation, Medical Expert Systems, Artificial Intelligence in Manufacturing, Generative Adversarial Models, Quantum Learning, Predicting User Behavior, Knowledge Management Systems, Software Testing Automation, Multi-Objective Reinforcement Learning, Cognitive Modeling, Non-Guaranteed Cost Learning, Automatic Situation Assessment, Response and Action Prediction, Human Behavior Reverse Engineering, Knowledge Management Systems, Genetic Algorithm Learning

Exemplary stories: Mars Rover Curiosity, Deep Space Network, SETI Project, Kepler Space Telescope, SkyNet Project, Blue Brain Project, Film The Martian, Breakthrough Starshot Project, Voyager Program; Sample Books, Sample Movies, Sample Games and Software

Portrait galleryYann LeCun, Crizhhevsky, Ethan Rublee

Exploration through Imaginary/Speculative Fiction: Literary works, Cinematographic works, Computer games

Unclear hypotheses/conspiracies/mysteries: Control of information, Supervision of outer space, Autonomy of space systems, Communication with extraterrestrial civilizations

Perspective: interpretation of astronomical data, complex cosmic phenomena and the possibilities of life in the entire universe, better anticipation of risks and increased efficiency in space research, improved performance of space robots, associated ethical challenges and responsibilities

Author

  • The author is a specialist in the field of Aerospace Engineering. He graduated as head of promotion in the specialization of On-board Equipment and Installations, having his undergraduate studies at the Faculty of Aerospace Engineering of the "Politehnica" University of Bucharest, in 2002, later obtaining the titles for in-depth studies with the specialization of On-board Equipment and Installations and a master's degree, in 2004, in the Air Transport Industry at the same university. In 2002, he joined the Department of Aerospace Engineering "Elie Carafoli" and then became an assistant professor at the Department of Aeronautical Systems Engineering and Aeronautical Management "Nicolae Tipei", Faculty of Aerospace Engineering, currently holding the position of lecturer in the faculty.
    He continued his specialized studies at an advanced control course at the European Embedded Control Institute (EECI-European Embedded Control Institute, Supelec, Paris) in 2011 and obtained a doctorate in Aerospace Engineering from the "Politehnica" University of Bucharest in 2015. Later, in 2021, he successfully completed his post-doctoral studies, with a research topic on the implementation of deep learning technology in Space Surveillance applications and Navigation Support.
    Member of the Center for Science, Prospective, Creativity and Fiction (STRING Center), participated as a junior member in the founding of the Romanian Aeronautical and Astronautical Association (AAAR), collaborated as an editor of the Romanian Aerospace Engineering magazine Airborne, being an active person in the aerospace industry. Over time, he has been involved in mentoring students from the Faculty of Aerospace Engineering and has rich expertise in areas such as electronics, microprocessors, microcontrollers and digital signal processing. Also, within the research activity, he led work packages and developed Artificial Intelligence technologies for Visual Navigation within a European Space Agency grant.

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