WolframAlpha, A Computational Knowledge Engine Providing Output From Structured Data

WolframAlpha San Francisco

WolframAlpha is a computational knowledge engine that generates output in the form of answers from its own internal knowledge base instead of displaying indexed links like a traditional search engine.

Wolfram|Alpha’s long-term goal is to make all systematic knowledge immediately computable and accessible to everyone. We aim to collect and curate all objective data; implement every known model, method, and algorithm; and make it possible to compute whatever can be computed about anything. Our goal is to build on the achievements of science and other systematizations of knowledge to provide a single source that can be relied on by everyone for definitive answers to factual queries.

WolframAlpha launched on Friday and since then people have been busy giving it every kind of data query imaginable. Here are some examples to get you started.

Scott Beale
Scott Beale

Scott Beale is the founder of Laughing Squid and is based in New York City. When not running the blog, Scott can be found posting on Threads and sharing photos on Instagram.