Big data may hold a world of untapped potential, but what happens when your data set is bigger than your processing power can handle? A new algorithm that taps quantum computing may be able to help.

When PageRank was developed in the 1990s, building powerful AI models was all about algorithms and architecture. In the 2000s, with the birth of Hadoop and large-scale data mining, we rushed to ...

Nelson’s algorithms often use a technique called sketching, which compresses big data sets into smaller components that can be stored using less memory and analyzed quickly. For example, in 2016 ...

Big data algorithms: for whom do they work? May 6, 2019. As computing power has increased and data science has expanded into nearly every area of our lives, we have entered the age of the algorithm.

Topics Quanta Magazine algorithms big data computer science. Read More. The 46 Best Outdoor Deals From the REI Fourth of July Sale. Whether you need a camp chair, sleeping pad, ...

Algorithms have been used in courtrooms for a long time, dating back to the 1930s. The idea is, you’re trying to make a prediction as to whether or not an individual is going to go on to commit ...

The where and what. The easiest example of "big data" is one that everyone reading this article is familiar with—Google’s search. It works so quickly and so reliably that it’s rare to spare ...

What if the computer algorithms could tell more compelling stories than journalists, writers or business analysts? Well, this is increasingly becoming a reality. A new generation of Big Data tools ...

A Harvard mathematician turned social activist is warning that big data is essentially driving inequality in society because mathematical computer algorithms are now in charge of making important ...

Traditionally, databases and big data software have been built mirroring the realities of hardware: memory is fast, transient and expensive, disk is slow, permanent and cheap. But as hardware is ...