To efficiently analyze a firehose of data, scientists first have to break big numbers into bits.

Gartner has stated that big data is nothing without turning them into algorithms, which is where the true value lies for businesses.

Bitmap indexing has emerged as a vital tool in the efficient management and interrogation of scientific data. By representing data elements as bits, these indexes facilitate rapid, hardware ...

What Big Data analysts can learn from neural networks The Restricted Boltzmann Machine is a learning algorithm developed by Geoffrey Hinton and Terry Sejnowski.

In today’s world of big data, learning from the vast amount of information collected every day is critical for the firms that rely on it for manufacturing, marketing, decision-making and more. Often, ...

This is a graduate-level course on theoretical aspects of Big Data. We will examine algorithms and data structures for dealing with massive data sets. We will discuss such topics as streaming ...

“Algorithms aren’t subjective,” said Jure Lescovic, a computer science profession from Stanford quoted by Quentin Hardy of the New York Times in “Using Algorithms to Determine Character ...

Math isn’t prejudiced, goes the argument. But these arithmetic programs can learn bias from the data fed into them by human beings, leading to unfair treatment and discrimination.

Big data, she concludes, holds tremendous potential. Used thoughtfully, algorithms can actually strip human bias out of decision-making. But you have to be aware of the problem to correct for it.

New MIT algorithm rubs shoulders with human intuition in big data analysis October 19, 2015 More than 9 years ago Summary ...

--MicroAlgo Inc., today announced that their research team has used quantum neural networks to classify and extract features from data in databases, focusing the search space on subsets that are ...