Researchers Achieve ‘Absurdly Fast’ Algorithm for Network Flow

Physicists are building neural networks out of vibrations, voltages and lasers, arguing that the future of computing lies in exploiting the universe’s complex physical behaviors.

The key to understanding the origin and fate of the universe may be a more complete understanding of the vacuum.

Supermassive black holes have come to the fore as engines of galactic evolution, but new observations of the Milky Way and its central hole don’t yet hang together.

When the brain encodes memories as positive or negative, one molecule determines which way they will go.

Of all the endless questions children and mathematicians have asked about infinity, one of the most fascinating has to do with its size.

Computer scientists established a new boundary on computationally verifiable knowledge. In doing so, they solved major open problems in quantum mechanics and pure mathematics.

Mathematicians and computer scientists answered major questions in topology, set theory and even physics, even as computers continued to grow more capable.

Leslie Lamport revolutionized how computers talk to each other. Now he’s working on how engineers talk to their machines.

It was a dreary afternoon in Milan last year when, procrastinating on studying, I was struck by a flash of genius. “What would happen if I made a banana-powered random number generator?“. I…

If you’ve more than a couple of years of experience in IT, you probably have stumbled upon the following quote: There are only two hard things in computer science: cache invalidation and naming things. — Phil Karlton Then, because it’s such a great quote, it evolved: There are two hard things in computer science: cache invalidation, naming things, and off-by-one errors.— Jeff Atwood (@codinghorror) August 31, 2014 However, I think that the initial quote is