What do encrypted messages, recognizing speech commands and running simulations to predict the weather have in common? They all rely on matrix multiplication for accurate calculations. DeepMind, an ...

Computer algorithms infer gender, race and ethnicity. Here’s how to avoid their pitfalls Demographic-prediction algorithms have various challenges, following best practices can minimize the harms.

OK, not exactly a computer — more like, the wild array of technologies that inform what we consume on our computers and phones. Because on this episode, we're looking at how AI and race bias ...

Algorithms allow us to make rational decisions in an organized manner, preventing us from burdening our minds with low-quality, on-the fly decision making. Everybody can do with a bit of computer ...

There is no way to do this on a classical computer. However, you can translate this Hamiltonian into a quantum circuit.” [Related: IBM’s latest quantum chip breaks the elusive 100-qubit barrier] ...

Christopher Kanan is building algorithms that can continuously learn over time — the way we do.

Every problem in P is also in PSPACE, because fast algorithms just don’t have enough time to fill up much space in a computer’s memory.

A team of computer scientists has come up with a dramatically faster algorithm for one of the oldest problems in computer science: maximum flow. The problem asks how much material can flow through a ...

People have performed many mathematical proofs to show that a quantum computer will vastly outperform traditional computers on a number of algorithms. But the quantum computers we have now are ...

Known today as Karatsuba’s Algorithm, this breakthrough challenged the long-held belief that multiplying two n-digit numbers required n² steps.