Tapis computing platform weaves together science computing tools

Scientists looking to reduce their complexity to research and add a new computational tool to their tool belt can explore the Tapis Project. The Tapis software platform aims to help researchers more easily leverage powerful ...


Pushy robots learn the fundamentals of object manipulation

MIT researchers have compiled a dataset that captures the detailed behavior of a robotic system physically pushing hundreds of different objects. Using the dataset—the largest and most diverse of its kind—researchers ...

Machine learning & AI

New book exposes AI's limits

Ever since its origin in post-war research, AI has been subject to profound hyperbole, rapturous prognostications, and projected nightmares. In 2019, things have once again reached fever pitch in what science board co-chair ...

Machine learning & AI

Teaching AI to overcome human bias

Are you smarter than a machine learning model? Let's find out. Choose the answer that contradicts the following premise:


How data science in and for Africa can blaze new trails

The term "data science" was coined by scientists working at the social networks LinkedIn and Facebook in 2008. A few years later, they dubbed it "the sexiest profession of the 21st century."


The origin and future of spam and other online intrusions

From a confidence trick originating in the late 19th century, to sophisticated AI that can manipulate reality, recreating anyone's face or voice with almost pinpoint accuracy—spam has come a long way.

Energy & Green Tech

Developing technologies that run on light

The future of faster, more efficient information processing may come down to light rather than electricity. Mark Lawrence, a postdoctoral scholar in materials science and engineering at Stanford, has moved a step closer to ...

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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