“There is great potential for us to mobilise the power of data to help us make better decisions. However, the technology that has allowed us all to be so wonderfully connected has also allowed us each to live in our own world, separated from others. In our online lives, we risk connecting only with those […]

How dangerous is big data? Anyone who has not spent the last five years living on another planet will be familiar with the term Big Data. Big Data means, in essence, that everything we do, both on and offline, leaves digital traces. Every purchase we make with our cards, every search we type into Google, […]

“I think in general you don’t want to replace behavior or human-led functionality,” Béhar says. Instead, AI can remove some of the pain points of life by reducing complexity and freeing up people’s cognitive space so they can focus on more important endeavors. But ultimately designers must act as a bulwark against irresponsible, unethical use […]

An intensive 7-week post-doctoral training fellowship bridging the gap between academia & data science. Join top companies working on data science. Anyone who gets through this program will qualify immediately from an interview for a job with Science4Data.  Contact us if you get accepted. Source: Insight Data Science Fellows Program

you work on real-life data science problems with a company from a range from exciting start-ups, SMEs, and charities, to large multi-national companies like KPMG, Barclays and M&S. We will immerse you into data science from day one; making sure you will learn more in a shorter time than you have ever done before – […]

Deals to AI startups reached a record high last year, from 160 deals in 2012 to 658 in 2016. Although non-US deal share has been increasing over the time period, well over a majority of deals, around 70%, went to startups in the US in the last 5 years. Source: The United States of Artificial […]

Feature selection is the process of finding the most relevant variables for a predictive model. These techniques can be used to identify and remove unneeded, irrelevant and redundant features that do not contribute or decrease the accuracy of the predictive model. Mathematically, feature selection is formulated as a combinatorial optimization problem. Here the function to […]

How can managers — from the front lines to the C-suite — thrive in the age of AI? To find out, we surveyed 1,770 managers from 14 countries and interviewed 37 executives in charge of digital transformation at their organizations. Using this data, we identified five practices that successful managers will need to master. Source: How Artificial […]

DL currently is an experimental science. That is, DL capabilities are actually discovered by researchers by surprise. There are certainly a lot of engineering that goes into the optimization and improvement of these machines. However, its capabilities are ‘unreasonably effective’, in short, we don’t have very good theories to explain its capabilities.It is clear that […]

Source: Cartoon: Watson and Artificial vs Natural Intelligence