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Father of modern digital computing and remote job entry. Coined the term "digital". Discovered the reflected binary code known as Gray code. Excess-3 code is named after him as well (Stibitz code). 1982 Stonebraker, Michael: Revolutionized the field of database management systems (DBMSs) and founded multiple successful database companies 1979
This is a list of people who are important or notable in the field of computing, but who are not primarily computer scientists or programmers. A. Alfred Aho ...
A few of these people pre-date the invention of the digital computer; they are now regarded as computer scientists because their work can be seen as leading to the invention of the computer. Others are mathematicians whose work falls within what would now be called theoretical computer science, such as complexity theory and algorithmic ...
This is a list of programmers notable for their contributions to software, either as original author or architect, or for later additions. All entries must already have associated articles. Some persons notable as computer scientists are included here because they work in program as well as research.
A reversed form of the Turing test is widely used on the Internet; the CAPTCHA test is intended to determine whether the user is a human or a computer. In 1948, Turing, working with his former undergraduate colleague, D.G. Champernowne, began writing a chess program for a computer that did not yet exist.
Steve Jobs (1955–2011), U.S. – Apple Macintosh computer, iPod, iPhone, iPad and other devices, software operating systems and applications. Amos Edward Joel Jr. (1918–2008) U.S. – electrical engineer, known for several contributions and over seventy patents related to telecommunications switching systems
Farber is an IEEE Fellow, ACM Fellow, recipient of the 1995 SIGCOMM Award for vision and breadth of contributions to and inspiration of others in computer networks, distributed computing, and network infrastructure development, [170] and the 1996 John Scott Award for seminal contributions to the field of computer networks and distributed ...
Networks of such miniature tissues could become functional using stimulus-response training or organoid-computer interfaces – to potentially become "more powerful than silicon-based computing" for a range of tasks – and could also be used for research of various pathophysiologies, brain development, human learning, memory and intelligence ...