"They can adapt to teammates with arbitrary skills," said Wojciech Czarnecki, a researcher with DeepMind, a lab owned by the same parent company as Google. Through thousands of hours of game play, the agents learned very particular skills, like racing toward the opponent's home base when a teammate was on the verge of capturing a flag. As human players know, the moment the opposing flag is brought to one's home base, a new flag appears at the opposing base, ripe for the taking. DeepMind's project is part of a broad effort to build artificial intelligence that can play enormously complex, three-dimensional video games, including Quake III, Dota 2 and StarCraft II. Many researchers believe that success in the virtual arena will eventually lead to automated systems with improved abilities in the real world.

Artificial Intelligence is becoming more commonly used in a variety of fintech applications. Our infographic highlights how often a financial services customer can interact with A.I. during everyday routines. It is possible to encounter artificial intelligence in numerous ways while carrying out single tasks, such as using predictive text while talking to a virtual assistant that understands requests and connects with other third party platforms. While customers and employees enjoy increased convenience A.I. is also enabling bank grade security to protect our digital identities and finances. To access secure accounts many organisations apply 2 factor logins using a password, pin or device with biometrics such as voice and facial recognition.

This article is part of Demystifying AI, a series of posts that (try to) disambiguate the jargon and myths surrounding artificial intelligence. In 1956, researchers at Dartmouth College coined the term "artificial intelligence," a field of science that aims to enable machines to replicate the capabilities of the human mind. AI pioneers believed at the time that in short time, "machines will be capable… of doing any work a man can do." For decades, AI scientists and researchers have been trying to recreate the logic and functionalities of the human brain. And for decades, they have dismayed themselves and the general public.

The thing I like the most is when I don't even know that I'm interacting with intelligent technologies because the people providing them have done such a great job of making them a natural part of my work flow. Whether it's voice recognition, advanced image analysis, sentiment analysis, or document processing, I love having it baked in to the products and applications that I use every day. It can be as simple as a conversation with Alexa to understand the weather and traffic for the day, or getting recommendations for articles I should be reading or presentations I should be watching. It can be as sophisticated as gaining insights into how I can better manage my team by analyzing how they're thinking and feeling through the employee engagement platform which we use. Either way, I'm looking for the little ways to be more efficient and effective. It's changed in so many weird and wonderful ways, some of which seemed obvious to me on my own journey, and some that took me completely by surprise.

Jumia may be the first startup you've heard of from Africa. But the e-commerce venture that recently listed on the NYSE is definitely not the first or last word in African tech. The continent has an expansive digital innovation scene, the components of which are intersecting rapidly across Africa's 54 countries and 1.2 billion people. When measured by monetary values, Africa's tech ecosystem is tiny by Shenzen or Silicon Valley standards. But when you look at volumes and year over year expansion in VC, startup formation, and tech hubs, it's one of the fastest growing tech markets in the world.

Former Prime Minister David Cameron has been hired by a US artificial intelligence company. Mr Cameron, who quit UK politics in the wake of the 2016 EU Referendum, will lead Afiniti's advisory board. The firm said his "experience of political leadership through periods of complexity" would be invaluable. Mr Cameron has kept a relatively low profile since leaving UK politics - his autobiography is due to be published in September. He is also president of Alzheimer's Research UK and chairs the board of patrons at National Citizen Service.

People who use dating apps such as Tinder may be up to 27 times as likely to use drastic or unhealthy techniques to try and stay slim. Deliberately vomiting, taking laxatives and even using anabolic steroids is more common among dating app users, a study found. Researchers found'unrealistic' desires to look like celebrities on television and social media are driving people to damaging behaviour. And with an estimated 50million people around the world signed up to Tinder the scientists warned experts must better understand its damaging effects. Researchers said social media and TV shows reinforce'ideal' body images which drive men to try and become more muscly and women slimmer, which may drive them to drastic weight loss measures (Pictured: Love Island contestants Anton Danyluk and Amber Gill – the show is well-known for displaying young people with extremely honed bodies.

NEC Corp. gave a demonstration of its facial recognition system at its headquarters in Tokyo on Friday that it says will help passengers board planes faster without having to present passports or boarding passes. Narita will be the first airport in the country to deploy the system, called OneID, ahead of an expected spike in foreign arrivals for the 2020 Tokyo Olympic and Paralympic Games. In the media presentation, NEC showed how the system streamlined the boarding procedure. First, at the self check-in machine, passenger consent was obtained, then their passport was scanned and a barcode on their smartphone screen provided the flight details. A camera was used to capture their facial image during the process.

San Jose, CA, based Infrrd Inc is a leading Machine Intelligence partner to Banking, Financial Services and Insurance industries across the globe. Infrrd's focus is on providing AI as a service and leveraging its homegrown machine learning platform to solve analytics and automation related problems for the customers. Infrrd's platforms and algorithms extract deep insights from big data based on artificial intelligence and deep learning and offer these insights to drive decisions & automate extraction for customers.

In a world where automation-related features are much needed, digital marketing has been no exception. In fact, a business sphere which has been heavily relying on trial and error is rapidly moving towards its technical side of things from SEO to PPC and everything in between. With that being said, let's analyse why and, most importantly, how machine learning is dominating the world of digital marketing. When it comes to machine learning, there is a variety of search engines-related algorithms which should be taken into consideration. In fact, from Google to Yahoo to Bing, all the major search engines have one or more machine learning related features and, therefore, understanding their behaviours is a priority for the successful digital marketer.