Machine learning & AI

A Zen Buddhist monk's approach to democratizing AI

Colin Garvey, a postdoctoral research fellow at Stanford University's Center for International Security and Cooperation (CISAC) and Institute for Human-centered Artificial Intelligence (HAI), took an unusual path to his studies ...

Computer Sciences

When bias in applicant screening AI is necessary

Some biases in AI might be necessary to satisfy critical business requirements, but how do we know if an AI recommendation is biased strictly for business necessities and not other reasons?

Hardware

LVI: Intel processors still vulnerable to attack, study finds

Computer scientists at KU Leuven have once again exposed a security flaw in Intel processors. Jo Van Bulck, Frank Piessens, and their colleagues in Austria, the United States, and Australia gave the manufacturer one year's ...

Computer Sciences

Protecting essential connections in a tangled web

It's winter. And as any frequent traveler knows, winter can mean airport weather delays. A blizzard in Minneapolis, a major airport hub, can quickly lead to delays in balmy Miami or foggy London.

Machine learning & AI

Neuroscience opens the black box of artificial intelligence

Computer scientists at Otto von Guericke University Magdeburg are aiming to use the findings and established methods of brain research to better understand the way in which artificial intelligence works.

page 10 from 12

Computer science

Computer science (or computing science) is the study of the theoretical foundations of information and computation, and of practical techniques for their implementation and application in computer systems. It is frequently described as the systematic study of algorithmic processes that describe and transform information. According to Peter J. Denning, the fundamental question underlying computer science is, "What can be (efficiently) automated?" Computer science has many sub-fields; some, such as computer graphics, emphasize the computation of specific results, while others, such as computational complexity theory, study the properties of computational problems. Still others focus on the challenges in implementing computations. For example, programming language theory studies approaches to describing computations, while computer programming applies specific programming languages to solve specific computational problems, and human-computer interaction focuses on the challenges in making computers and computations useful, usable, and universally accessible to people.

The general public sometimes confuses computer science with vocational areas that deal with computers (such as information technology), or think that it relates to their own experience of computers, which typically involves activities such as gaming, web-browsing, and word-processing. However, the focus of computer science is more on understanding the properties of the programs used to implement software such as games and web-browsers, and using that understanding to create new programs or improve existing ones.

This text uses material from Wikipedia, licensed under CC BY-SA