Using an advanced Monte Carlo method, Caltech researchers found a way to tame the infinite complexity of Feynman diagrams and ...

One computer scientist’s “stunning” proof is the first progress in 50 years on one of the most famous questions in computer ...

Using machines to augment human activity is nothing new. Egyptian hieroglyphs show the use of horse-drawn carriages even before 300 B.C. Ancient Indian literature such as “Silapadikaram” has ...

No one has ever found an efficient algorithm for an NP-complete problem, and most computer scientists believe no one ever will. The question of whether the NP-complete problems are truly harder than ...

Quantum computing has long promised to speed up these algorithms. But Goswami and co say even the best quantum algorithms require a large number of qubits. “The quantum algorithm for encoding 9 and 10 ...

But algorithms can also have mental-health problems based on the way they are built. They can forget older things when they learn new information. Imagine learning a new co-worker’s name and ...

This sort of exponential growth is the defining feature of a hard computational problem. But not all hard problems are equally hard — some have algorithms that are faster than exhaustive search, ...

Can we ever really trust algorithms to make decisions for us? Previous research has proved these programs can reinforce society’s harmful biases, but the problems go beyond that.A new study ...