For would-be quantum programmers scratching their heads over how to jump into the game as quantum computers proliferate and become publicly accessible, a new beginner's guide provides a thorough ...

When reviewing job growth and salary information, it’s important to remember that actual numbers can vary due to many different factors—like years of experience in the role, industry of employment, ...

In this Artificial Intelligence podcast with Lex Fridman, computer scientist Donald Knuth discusses Alan Turing, Neural networks, machine learning and other AI topics from ant colonies and human ...

Scientists say they’ve developed a framework to make computer algorithms “safer” to use without creating bias based on race, gender or other factors. The trick, they say, is to make it possible for ...

Understand the principles of efficient algorithms for dealing with large scale data sets and be able to select appropriate algorithms for specific problems. Understand and be able to apply the main ...

Probabilistic programming has emerged as a powerful paradigm that integrates uncertainty directly into computational models. By embedding probabilistic constructs into conventional programming ...

Many experts believe that once quantum computers are big enough and reliable enough to solve useful problems, the most common deployment architecture will be to have them serve as accelerators for ...

The key distinction between IT and Computer Science is in their focus and responsibility: the former is application-oriented, ...