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The Tanner Lectures on Human Values is a multi-university lecture series in the humanities, founded in 1978, at Clare Hall, Cambridge University, by the American scholar Obert Clark Tanner. [1] In founding the lecture, he defined their purpose as follows: [2] I hope these lectures will contribute to the intellectual and moral life of mankind.
Miniaturization (publ. 1961) included Feynman's lecture as its final chapter "There's Plenty of Room at the Bottom: An Invitation to Enter a New Field of Physics" was a lecture given by physicist Richard Feynman at the annual American Physical Society meeting at Caltech on December 29, 1959. [1]
Lecture Notes in Computer Science is a series of computer science books published by Springer Science+Business Media since 1973. Overview
The Cornell Notes system (also Cornell note-taking system, Cornell method, or Cornell way) is a note-taking system devised in the 1950s by Walter Pauk, an education professor at Cornell University. Pauk advocated its use in his best-selling book How to Study in College . [ 1 ]
The reading from original sources evolved into the reading of glosses on an original and then more generally to lecture notes. Throughout much of history, the diffusion of knowledge via handwritten lecture notes was an essential element of academic life. Rembrandt's The Anatomy Lecture of Dr. Nicolaes Tulp (1632)
In Norway, the final examination for a PhD student is called a disputas. [29] The examination consists of a public lecture by the candidate where the audience can ask questions. Then two opponents will ask the candidate questions. Prior to the examination, the candidate must pass a trial lecture on a topic typically not part of the student's ...
Release notes detail the corrections, changes or enhancements (functional or non-functional) made to the service or product the company provides.[7] [8] [9]They might also be provided as an artifact accompanying the deliverables for System Testing and System Integration Testing and other managed environments especially with reference to an information technology organization.
A convolutional neural network (CNN) is a regularized type of feedforward neural network that learns features by itself via filter (or kernel) optimization. This type of deep learning network has been applied to process and make predictions from many different types of data including text, images and audio. [1]