Unruptured cerebral aneurysms of sizes and locations that require attention may be frequently missed in routine clinical care, but a machine learning algorithm could minimize missed care opportunities, according to a new ...
Sep 13, 2023
0
1
Researchers at the University of Massachusetts Amherst's Institute for Applied Life Sciences (IALS) and Embr Labs have created a machine-learning algorithm to predict a hot flash before a person perceives it.
Sep 13, 2023
0
1
Adults aged 60 and older who spend more time engaging in sedentary behaviors like sitting while watching TV or driving may be at increased risk of developing dementia, according to a new study by USC and University of Arizona ...
Sep 12, 2023
0
181
Scientists using machine learning tools to analyze biomedical data often turn to neural network algorithms, but before these models became popular, another simpler type of machine learning algorithm called kernel methods ...
Sep 11, 2023
0
68
The most impressive uses of artificial intelligence rely on good data—and lots of it. Chatbots, for example, learn to converse from millions of web pages full of text. Autonomous vehicles learn to drive from sensor data ...
Aug 29, 2023
0
47
As artificial intelligence systems like ChatGPT find their way into everyday use, physicians will start to see these tools incorporated into their clinical practice to help them make important decisions on diagnosis and treatment ...
Aug 7, 2023
0
49
In prehistoric societies, humans tended to learn from members of our ingroup or from more prestigious individuals, as this information was more likely to be reliable and result in group success. However, with the advent of ...
Aug 3, 2023
0
113
Among the hottest sectors for artificial intelligence (AI) adoption is health care. The Food and Drug Administration has now approved more than 500 AI devices—most within just the last couple of years—to assist doctors ...
Aug 3, 2023
0
1
Thanks to machine learning algorithms, short pieces of DNA floating in the bloodstream of cancer patients can help doctors diagnose specific types of cancer and choose the most effective treatment for a patient.
Aug 2, 2023
0
21
By directly measuring relative stopping power (RSP) with ions, a pixel sensor-based Hi'CT with multi-layer structure reduces the risk of range uncertainty, a major contributor to dose imprecision in ion therapy. With enhanced ...
Jul 31, 2023
0
0
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.
This text uses material from Wikipedia, licensed under CC BY-SA
