Quick diagnostic sprints deliver measurable results in weeks, not years, helping manufacturers prove AI value before ...

First-principles crystal-structure prediction—even for simple crystallization from a solvent—is fundamentally difficult, owing to the need to consider a combinatorially enormous set of component ...

Why do we learn? This is the provocative question that Stanislas Dehaene asks in his book How We Learn. 1 But you’ve probably never asked yourself: “Why do we learn in the first place?” As Dehaene ...

Machine-learning algorithms find and apply patterns in data. And they pretty much run the world. Machine-learning algorithms are responsible for the vast majority of the artificial intelligence ...

In order to better understand Apache Spark’s growing role in big data, Taneja Group conducted a major market research project, surveying approximately 7,000 people. The sample was made up of technical ...