Computer Sciences
For would-be quantum programmers scratching their heads over how to jump into the game as quantum computers proliferate and become publicly accessible, a new beginner's guide provides a thorough introduction to quantum algorithms ...
Jun 14, 2022
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292
Security
Malicious agents can use machine learning to launch powerful attacks that steal information in ways that are tough to prevent and often even more difficult to study.
Jun 9, 2022
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94
Computer Sciences
Pigeons can quickly be trained to detect cancerous masses on X-ray scans. So can computer algorithms.
May 26, 2022
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84
Consumer & Gadgets
The spectacular plunge and trading halts of the algorithmic stablecoin TerraUSD are touching off a debate among lawmakers over whether, and how much, the government should get involved.
May 17, 2022
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6
Computer Sciences
It's hard to tell the difference between a newborn boy and girl based solely on temperament characteristics such as the baby's propensity to display fear, smile or laugh. But once babies reach around a year old that begins ...
May 10, 2022
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108
Computer Sciences
Researchers at EPFL have made strides in computer-aided animal tracking by expanding their software, DeepLabCut, to offer high-performance tracking of multiple animals in videos.
Apr 22, 2022
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72
Computer Sciences
Labeling data can be a chore. It's the main source of sustenance for computer-vision models; without it, they'd have a lot of difficulty identifying objects, people, and other important image characteristics. Yet producing ...
Apr 21, 2022
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397
Computer Sciences
It's a rare textbook that has sold over a million copies, has a Twitter account, has been a clue on Jeopardy!, and even made a cameo appearance in a popular Chinese soap opera.
Apr 6, 2022
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8
Electronics & Semiconductors
In recent decades, machine learning and deep learning algorithms have become increasingly advanced, so much so that they are now being introduced in a variety of real-world settings. In recent years, some computer scientists ...
Computer Sciences
While working toward her dissertation in computer science at MIT, Marzyeh Ghassemi wrote several papers on how machine-learning techniques from artificial intelligence could be applied to clinical data in order to predict ...
Feb 2, 2022
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524
In mathematics, computing, linguistics, and related subjects, an algorithm is a finite sequence of instructions, an explicit, step-by-step procedure for solving a problem, often used for calculation and data processing. It is formally a type of effective method in which a list of well-defined instructions for completing a task, will when given an initial state, proceed through a well-defined series of successive states, eventually terminating in an end-state. The transition from one state to the next is not necessarily deterministic; some algorithms, known as probabilistic algorithms, incorporate randomness.
A partial formalization of the concept began with attempts to solve the Entscheidungsproblem (the "decision problem") posed by David Hilbert in 1928. Subsequent formalizations were framed as attempts to define "effective calculability" (Kleene 1943:274) or "effective method" (Rosser 1939:225); those formalizations included the Gödel-Herbrand-Kleene recursive functions of 1930, 1934 and 1935, Alonzo Church's lambda calculus of 1936, Emil Post's "Formulation 1" of 1936, and Alan Turing's Turing machines of 1936–7 and 1939.
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