The course Seminars in Artificial Intelligence and Robotics aims at presenting different research topics. Students will be given the opportunity to give a Seminar on a research paper and contribute to the discussion of other research presented in the
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Starting from the academic year 2021/2022 the Artificial Intelligence course (6 ECTS) is replacing the courses Artificial Intelligence (9 and 12 ECTS) for students of the Master in Artificial Intelligence and Robotics.
For students enro
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Starting from the academic year 2021/2022 the Artificial Intelligence course (6 ECTS) is replacing the courses Artificial Intelligence (9 and 12 ECTS) for students of the Master in Artificial Intelligence and Robotics.
For students enro
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Check Schedule, Syllabus and Resources at:http://www.dis.uniroma1.it/nardi/Didattica/AI/index-2021.htmlIMPORTANT: to improve organization of e-mail messages, please use the following prefix [AI] in the subject of e-mails related to this course addr
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For all the info please refer to the new edition 20/21https://elearning.uniroma1.it/course/view.php?id=12015Starting from the academic year 2019/2020 the Artificial Intelligence course (9 ECTS) is replacing the course Artificial Intelligence (12 ECTS
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Starting from the academic year 2016/17 the new course Artificial Intelligence (12 ECTS) is replacing the earlier courses on Artificial Intelligence 1 and 2 for the students of the master in Artificial Intelligence and Robotics. Artificial Intel
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OBJECTIVE
The goal of the course is to cover the following Artificial Intelligence
topics (integrating and complementing the contents of Artificial
Intelligence and Machine Learning): Automated Search, Logic Programming,
Knowledge Represe
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Objectives The goal of the course is to present the basic elements of Artificial Intelligence and Machine Learning. The student is introduced to knowledge representation and reasoning techniques in logic, to automated problem solving, and to machine
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Objectives The goal of the course is to present the basic elements of Artificial Intelligence and Machine Learning. The student is introduced toto automated problem solving, knowledge representation and reasoning, and to machine learning technique
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Learning in Autonomous Systems
A.A. 2014/2015 Teachers
Proff. Luca Iocchi, Giorgio Grisetti Web site https://sites.google.com/a/dis.uniroma1.it/learninginautonomoussystems/ Description of the course The cour
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The objectives of this course are to present a wide spectrum of Machine Learning methods and algorithms, discuss their properties, convergence criteria and applicability.
The course will also present many examples of successful application of
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Introduction to the basic robotic technologies in the medical context, with particular emphasis on surgical robotics.  Expected learning results: Knowledge of the main robotic surgical systems, of the challenges and methodologies of medical robot d
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Overview This seminar series includes two consecutive, independent sections, plus two 3-days workshops.
For each section, the first lectures will include a brief introduction by the teacher about the research area, with an overview of the the stat
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