It will cover some of the most promising directions of recent research. This is a good course to get you started with AI if you had no previous idea of the same, also it does a pretty good job of explaining the most basic ideas, terminologies and technologies behind AI ! Specifically, the course will cover the following topics: taxonomy of the different types of robots, physical modelling (direct and inverse kinematics), simulation of models, sensing and actuation solutions for perception and action, motion planning. You will be exposed to various issues and concerns surrounding AI such as ethics and bias, & jobs, and get advice from experts about learning and starting a career in AI. Market and financial analysis; 7. Students will be trained to train simple natural language understanding models for different use cases. In other cases (among which many of the real world) improvements can be sought with very effective heuristic techniques despite the absence of demonstrations of optimality. At the end of the course, the students will have the following abilities related to brain imaging: 1. After completing the course, students will be able to: 1. understand the working principles of several control algorithms for robotic systems, 2. choose the appropriate approach(es) to control a specific system for a given target application, 3. implement, tune, and test control algorithms with the Python language. The course aims at providing students with knowledge on the neural correlates of language. They will also know the fundamentals for developing new algorithms and adapt them to new problems.". In this course you will learn what Artificial Intelligence (AI) is, explore use cases and applications of AI, understand AI concepts and terms like machine learning, deep learning and neural networks. Translating natural language quantified statements (in English or Italian) into extended predicate logic, 5. lung ultrasonography, brain and cancer imaging). The course objective is to educate professional figures fully aware of the complex impact of AI and robotics on our society. Then it presents the most important techniques for automatic extraction of semantic information, for semantic segmentation, for change detection and fusion of sensor data. In depth knowledge on: 1. how technology and innovation interact at stakeholder level (competition, alliances, networks, markets); 2. The course aims to make the students aware of the most recent developments in the area of Computer Vision. This also means that you will not be able to purchase a Certificate experience. You can try a Free Trial instead, or apply for Financial Aid. The course will illustrate how persuasion is generated and how this is related with stereotypes, with the natural difficulty in revisiting the knowledge acquired in the past, with the theory of negations and with how language modifies our behaviour. This course focuses on control of robotic systems, with special attention to numerical optimal control and reinforcement learning. The students will have to use the skills acquired to solve various real Language problems, or do field work, using the languages spoken in class as a training field, in order to acquire a concrete understanding of what it means to carry out research in linguistics. Artificial Intelligence. The second part will then focus on probe design, system architecture of ultrasound scanners, image formation and beam forming, and emerging medical applications (e.g. The covered topics will be: 1. To test your knowledge on Artificial Intelligence Course, you will be required to work on two industry-based projects that discuss significant real-time use cases. Good introductory course, would be great a more detailed view of the IBM Cloud platform and how to create your on project and do your own AIs, but understand that was not the purpose of this course. When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Historical overview; 2.Methodological bases for the study of the brain; 3. The course provides the foundations of automated reasoning (AR). What will our society look like when AI is everywhere? The objective of the course is to examine and explore the credentials of agent-based approaches as paradigm for the development of autonomous systems. The course includes lab exercises and seminars on selected topics. AIS may be able to read and comprehend vast amounts of human language data ( speech, text or multimedia ) and makes sense. The discussion will follow the pattern of a scientific peer-review and the goal of the exercise is to deepen the scientific competences of the students and to strengthen their soft skills at the same time. A particular attention will be devoted to decision making and management, and to the main factors affecting the decision of the stakeholders in companies, networks and markets. The purpose of this course is to give the students the main concepts and basic methodologies for the study of language, divided according to the following thematic areas: phonetics, phonology, morphology, syntax, semantics, discourse.