Robo-advisers and robo-advisory services: role, players and evolutions in a market where fintechs and incumbents meet in hybrid solutions.

This is a project made for my university, using a Neural Network and Genetic Algorithm to teach Google's dinosaur from Chrome to jump cactus without dying so easily. All the implementation was using Node.js, and the game was not modified to allow interaction with the game, instead, I used pixel readings and virtual key presses from Node.js.

In a trend that has been gathering steam since 2011, some of the tech giants are leading the pack to put money down on private companies that have developed applications of AI technology. According to CB Insights, "Nearly 140 private companies working to advance artificial intelligence technologies have been acquired since 2011, with over 40 acquisitions taking place in 2016 alone (as of 10/7/2016). Corporate giants like Google, IBM, Yahoo, Intel, Apple and Salesforce, are competing in the race to acquire private AI companies…" It is rare to see the top echelons of tech so obviously agreeing on a technology trend, but their actions demonstrate that the long-term horizon for AI technologies is bright. The value in these types of technologies is in finding the right combination of functionality and application, and development is tricky. So it makes sense that tech companies are willing to shell out for a head start on core AI capabilities.

I love it for many reasons, but, as I've said before, one of the main reasons is the way it's "raised the profile" of HR and its importance. The sheer volume of information HR analytics can bring to the table has moved HR practitioners from an "out of sight out of mind" back room business function, to a major player when it comes to company goal setting and overall planning. Today we use HR analytics for everything from determining passive and active candidates; assisting with onboarding, training, and engagement; and predicting retention, attrition, and performance rates. That said, the sheer volume of data available today for HR professionals to work with can feel overwhelming, and at times, paralyzing. Not only do we have mountains of data to interpret, but the data is constantly evolving, shifting, forming, and reforming as we learn about the newest technologies, which actively measure even more employment-related functions.

The Collison brothers' 5bn payments powerhouse Stripe is making its move into machine learning in a bid to wipe out card fraud, which is expected to total 183bn by 2020. Credit and debit card fraud has only accelerated as the internet has grown. Employing machine-learning tools, Stripe's new Radar technology is powered by the company's own behaviour network. This is a machine-learning system that learns from and adapts its defences based on transactions across hundreds of thousands of businesses, using the Stripe's technology globally. 'With Stripe Radar, businesses essentially have caller ID for incoming charges' – JOHN COLLISON According to Stripe, this is the first and only machine-learning-based fraud tool that requires no set-up and works for every user from the moment of their first transaction.

A London-based startup has combined some of today's most disruptive technologies in a bid to change the way we'll build the future. By retrofitting industrial robots with 3D printing guns and artificial intelligence algorithms, Ai Build has constructed machines that can see, create, and even learn from their mistakes. When CEO and founder Daghan Cam was studying architecture, he noticed a disconnect between small-scale manufacturing and large-scale construction. "On one side we have a fully automated production pipeline," Cam explained at a recent conference in London. With the emergence of more efficient printing technologies, he thought there must be a better way.

AI is a fascinating, complex and occasionally scary technology, with the power to change the world. Dr Nicola Millard gives her thoughts on its evolution. Is artificial intelligence going to take over the world? This is the question that is being debated around the planet at the moment. Talk is rife of mass unemployment, existential threats and whether this technology is safe (especially in the context of self-driving cars and drones).

When you think of Artificial Intelligence, you can't help but think of another fantasy land where Ex Machina and The Matrix are taking over the world. Your mind travels to another world, a future that is so far away. In reality, the term "Artificial Intelligence" comprises a vast and diverse ecosystem of technologies that represent very powerful opportunities for your business competitiveness! Experts and professionals all agree: Artificial Intelligence is here to stay and will transform every field in a company, and every industry will be profoundly affected. Artificial Intelligence, which had its fair share of setbacks, is now ready to change the world, thanks to the combination of extraordinary technological advances, the rise of Big Data and the new opportunities created by the Internet of Things.

Nuance Communications Inc. announced that the Dragon Drive connected car framework will now have contextual reasoning which will allow AI to deliver contextualized and personalized recommendations for navigation, dining, gas stations, points of interest (POI) and other domains. The service can be integrated across a variety of Dragon Drive's Domain applications designed specifically for the in-car experience, and is entirely accessible through a conversational user interface or haptic feedback where appropriate. The Contextual Reasoning Framework leverages Nuance's advancements in Artificial Intelligence to exploit domain knowledge in a context-sensitive manner to provide a more intelligent experience behind the wheel. A core element of Nuance's Automotive Assistant offering, the new Contextual Reasoning Framework can proactively provide information and make recommendations by performing reasoning on a large repository of knowledge, in combination with a driver's preferences, location and situational context, and the data from the car's sensors. Each entry of the knowledge repository can range over general, spatial and temporal knowledge, domain-specific knowledge about parking, fuel stations, and information specific to certain geographic markets and vehicle characteristics.

From all the fields that Artificial Intelligence will disrupt in coming years, HealthCare may see the highest paradigm shift. Artificial Intelligence's influence in HealthCare industry will be wide and immense. Image recognition algorithms already help detect diseases at an astounding rate. This shift should be welcome. Artificial Intelligence at first glance, will bring remarkable well-being to humans.