Best-Ever Algorithm Found for Huge Streams of Data – by Kevin Hartnett

Best-Ever Algorithm Found for Huge Streams of Data

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

By Kevin Hartnett, Quanta Magazine.


The Challenge of Big Data – Professor Chris Budd OBE

Gresham Lecture: The Challenge of Big Data

Information plays a huge role in the modern world, with vast amounts of data literally at our finger tips. The Internet is leading to an ever-increasing amount of data, leading to the ‘challenge of Big Data’, in which we have to deal with huge amounts of data of direct relevance to people’s lives. Without mathematics, we would be unable to store, transmit, interpret, process or understand any of this. The rise of Big Data is associated not only with major technological challenges, but also with significant ethical and privacy issues, and has major policy implications.

Big Data’s Mathematical Mysteries – Ingrid Daubechies in Quanta magazine

Machine learning works spectacularly well, but mathematicians aren’t quite sure why.

” A pure mathematician, when stuck on the problem under study, often decides to narrow the problem further and so avoid the obstruction. An applied mathematician interprets being stuck as an indication that it is time to learn more mathematics and find better tools.”