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Carl Linnaeus (1707–1778), a Swedish Homo sapiens botanist, invented the modern system of binomial nomenclature. Prior to the adoption of the modern binomial system of naming species, a scientific name consisted of a generic name combined with a specific name that was from one to several words long.
[3] [4] An earlier term in English that shares the meaning of a handwritten document is "hand-writ" (or "handwrit"), which is first attested around 1175 and is now rarely used. [5] The study of the writing (the "hand") in surviving manuscripts is termed palaeography (or paleography).
It replicated handwriting of the period following from the style of Niccolò de' Niccoli, possibly even Manutius' own. [9] [10] The first use in a complete volume was a 1501 edition of Virgil dedicated to Italy, although it had been briefly used in the frontispiece of a 1500 edition of Catherine of Siena's letters. [11]
Class Year Degree Notability References Adya Prasad Pandey: BSc (Zoology, Botany), M.A., MBA, Ph.D. Former Vice Chancellor ; Recipient of the BHU Gold Medal [6] Amara Ranatunga: Sri Lankan singer [7] Amarnath Sehgal: Indian sculptor, painter and poet, Padma Bhushan (2008) [8] Ananda Shankar: Hindustani classical musician [9] Bettina Bäumer
In chemistry, Dmitri Mendeleev, following the atomic theory of John Dalton, created the first periodic table of elements. In physics, the experiments, theories and discoveries of Michael Faraday , André-Marie Ampère , James Clerk Maxwell , and their contemporaries led to the creation of electromagnetism as a new branch of science.
Deep learning is a subset of machine learning that focuses on utilizing neural networks to perform tasks such as classification, regression, and representation learning.The field takes inspiration from biological neuroscience and is centered around stacking artificial neurons into layers and "training" them to process data.
Pronounced "A-star". A graph traversal and pathfinding algorithm which is used in many fields of computer science due to its completeness, optimality, and optimal efficiency. abductive logic programming (ALP) A high-level knowledge-representation framework that can be used to solve problems declaratively based on abductive reasoning. It extends normal logic programming by allowing some ...
Neural networks are typically trained through empirical risk minimization.This method is based on the idea of optimizing the network's parameters to minimize the difference, or empirical risk, between the predicted output and the actual target values in a given dataset. [4]