6.825 is a graduate-level introduction to artificial intelligence. Topics covered include: representation …
6.825 is a graduate-level introduction to artificial intelligence. Topics covered include: representation and inference in first-order logic, modern deterministic and decision-theoretic planning techniques, basic supervised learning methods, and Bayesian network inference and learning. This course was also taught as part of the Singapore-MIT Alliance (SMA) programme as course number SMA 5504 (Techniques in Artificial Intelligence).
The nature of human identity - how we think of ourselves, how …
The nature of human identity - how we think of ourselves, how we perceive others - is a mutable concept, changing with the rise and fall of religious beliefs, social mores, philosophical theories. Today, we live in a world in which science and technology are among the most powerful forces reshaping our culture - and thus our definitions and perceptions of identity. In this seminar, we will examine the impact of science and technology on identity. The instructor’s course page may be viewed at http://smg.media.mit.edu/classes/IdentitySeminar/
Robots today move far too conservatively, using control systems that attempt to …
Robots today move far too conservatively, using control systems that attempt to maintain full control authority at all times. Humans and animals move much more aggressively by routinely executing motions which involve a loss of instantaneous control authority. Controlling nonlinear systems without complete control authority requires methods that can reason about and exploit the natural dynamics of our machines. This course introduces nonlinear dynamics and control of underactuated mechanical systems, with an emphasis on computational methods. Topics include the nonlinear dynamics of robotic manipulators, applied optimal and robust control and motion planning. Discussions include examples from biology and applications to legged locomotion, compliant manipulation, underwater robots, and flying machines.
The organizations that depend largely on collecting data from various sources or …
The organizations that depend largely on collecting data from various sources or are highly digitized must adopt data security. It is better to fight the risks at the initial stage than to regret the loss of data and face the consequences. If the information can not be kept safe from various attacks then the preference of the organization will decrease eventually. Even if personal information cannot be trusted in the hands of the organization then there will be dissatisfaction among customers. If an organization is unable to keep its customers satisfied then its value can hit rock bottom. Hence, by using Artificial Intelligence and Machine Learning the data security should be made better. These technologies will also help in decreasing the extra effort that has to be put by an organization and its employees.
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