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.

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] ...

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 ...

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 ...

Young Williams was hooked. “I was writing programs to myself, on paper, to be run on a future computer,” he said. “My parents didn’t really know what to do with me.” ...

Artificial intelligence algorithms are designed to learn in fits and starts. Instead of continuously updating their knowledge base with new information over time as humans do, algorithms can learn ...

The trained algorithm could distinguish cases where transformations were time-reversal symmetric, something that appears to be very difficult or impossible with the classical system.

Instead, Karatsuba showed it could be done in just O (n^1.58), a revelation that would pave the way for faster computing, cryptography, and algorithm design.