Electronics & Semiconductors
Memristors, or resistive memory devices (RRAM) are nanometer-sized electronic components that can serve as memories for portable computers and other devices. When they are organized in a cross-bar structure, these tiny memories ...
Computer Sciences
Reservoir computing is a promising computational framework based on recurrent neural networks (RNNs), which essentially maps input data onto a high-dimensional computational space, keeping some parameters of artificial neural ...
Robotics
Roboticists worldwide have been trying to develop autonomous unmanned aerial vehicles (UAVs) that could be deployed during search and rescue missions or that could be used to map geographical areas and for source-seeking. ...
Computer Sciences
Generative adversarial networks (GANs), a class of machine learning frameworks that can generate new texts, images, videos, and voice recordings, have been found to be highly valuable for tackling numerous real-world problems. ...
Computer Sciences
A team of researchers at Google's DeepMind, London, has found that AI can find faster algorithms to solve matrix multiplication problems. In their paper published in the journal Nature, the group describes using reinforcement ...
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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Computer Sciences
As the buzzwords "machine learning" continue to grow in popularity, more industries are turning to computer algorithms to answer important questions, including high-stakes fields such as healthcare, finance and criminal justice. ...
May 14, 2019
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221
Computer Sciences
Empowered by artificial intelligence technologies, computers today can engage in convincing conversations with people, compose songs, paint paintings, play chess and go, and diagnose diseases, to name just a few examples ...
Jan 30, 2023
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39
Engineering
If you are interested in hearing out novel concepts about the future of construction, a must-see video is "Walking Assembly." Dependencies on the sizes of materials vis a vis the human body do not seem to apply any longer.
Engineering
The image recognition technology that underlies today's autonomous cars and aerial drones depends on artificial intelligence: the computers essentially teach themselves to recognize objects like a dog, a pedestrian crossing ...
Aug 17, 2018
8
122
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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