Tech companies have touted scientific findings from AI systems. But can they truly produce bona fide advancements?
The deal, which forms a new U.S. TikTok under majority control of American investors, ends a yearslong battle that had pitted ...
The Computer Science Ph.D. Program is designed in a manner that works for the full-time students but also the flexibility of the part-time student. Students are required to complete 72 hours of core ...
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, ...
Space and time aren’t just woven into the background fabric of the universe. To theoretical computer scientists, time and space (also known as memory) are the two fundamental resources of computation.
One day in November, a product strategist we’ll call Michelle (not her real name), logged into her LinkedIn account and switched her gender to male. She also changed her name to Michael, she told ...
A computer designed to find life’s meaning concludes with a number. Trump set to face a diplomatic intervention on Greenland in Davos Major winter storm targets the South, East Friday into the weekend ...
In a world run by computers, there is one algorithm that stands above all the rest. It powers search engines, encrypts your data, guides rockets, runs simulations, and makes the modern digital ...
At M.I.T., a new program called “artificial intelligence and decision-making” is now the second-most-popular undergraduate major. By Natasha Singer Natasha Singer covers computer science and A.I.
When quantum computers become commonplace, current cryptographic systems will become obsolete. Scientists are racing to get ahead of the problem and keep our data secure. When you purchase through ...
Dr. Shaw and Dr. Hilton teach software engineering at Carnegie Mellon University. For decades, computer science students have been taught a central skill: using computers to solve problems. In ...
In the field of multi-objective evolutionary optimization, prior studies have largely concentrated on the scalability of objective functions, with relatively less emphasis on the scalability of ...