AI for science: 5 ways it’s helping solve big challenges — from the lab to the field by Susanna Ray
Microsoft Source
Proactively testing software for bugs is not new. The earliest examples date back to the 1950s with the term “fuzzing.” Fuzzing as we now refer to it is the injection of random inputs and commands into applications. It made its debut quite literally on a dark and stormy night in 1988.
Microsoft Security Blog
Microsoft Cognitive Services enables developers to augment the next generation of applications with the ability to see, hear, speak, understand, and interpret needs using natural methods of communication. Think about the possibilities: being able to add vision and speech recognition, emotion and sentiment detection, language understanding, and search, to applications without having any data science expertise.
Microsoft Azure Blog