Electric and autonomous single-seaters will take part in the first driverless race in 2016

The UK start-up will use biometrics to run a check on customer identities

Atom has drawn the attention of ‘fintechs’ yet again with the announcement that it will be using face and voice recognition systems as its main procedure for authenticating user identities.

The Technology Innovation Fund supports entrepreneurial projects in Mexico.

2016 will be the year for smart machines to definitively takeoff. Experts stress that employment grows significantly faster in occupations that use computers more.

The Women’s Tennis Association (WTA) is the leading women’s professional tennis association. It is integrated by over 2500 players from 92 countries which compete in 55 events of the WTA Tour and four Grand Slams in 33 countries.

The BEEVA Trends 2016 report highlights the key IT and Innovation trends for next year.

How important is a good serve in women’s tennis? By how many percentage points does a player need to improve her serve to climb a position in the WTA ranking? Does it take a minimum number of cross-court slice backhands to beat a specific rival? The answers to these and other questions that anyone, from fans to tennis players and their coaches, may ask are nothing but the result of measurements that are very easy to take. Current Big Data technology is capable of this and much more and, properly applied, could play a decisive role in winning games, changing training plans, or tactics in real time and contributing to decision making processes.

Real Madrid and Microsoft sign an agreement to use Big Data.

At a time when everyone is wondering whether there is still innovation to develop new products and services, Fintech appears on the horizon as the great trend to follow. A movement where a lot of small companies want to change the way we understand financial services by using technology.

We are often told that Big Data analysis uncovers contingent truths. Said truths help companies to make decisions, even in real time, to help drive efficiency and act coherently with their objectives. However, any algorithm "worth its salt", in the words of Álvaro Bedoya, Director of the Centre on Privacy and Technology at Georgetown University, will harness machine learning to absorb intangible standards that form the backbone of many world views, i.e. prejudices.