To pinpoint Inbenta's proposition in the marketplace, Jordi begins by making the important distinction between human-to-computer communication and human-to-human communication: "When we have to communicate with computers, historically humans have used HTML, Java, XML, 'command line' and a variety of languages that we collectively call'Formal Languages'. But when humans communicate with each other, we use English, Spanish and thousands of other languages called'Natural Languages'". Natural Language Processing (NLP), of course, is an area of AI that allows a computer to understand a Natural Language – and it's in this field that Inbenta thrive. At Inbenta we have developed a true natural language understanding platform that takes care of user conversations in website sites and mobile apps, answering 99% of user questions automatically and also guiding customers through all sales and support processes using chatbots. Inbenta are already working with an impressive array of enterprises, as their website shows.

At Def Con, seven AI bots were pitted against one another in a game of capture the flag. The DARPA-sponsored event was more than just a fun exercise for hackers. It was meant to get more researchers and companies to focus on autonomous artificial intelligence. As part of the Department of Defense (DoD), DARPA is tasked with making sure the United States is at the forefront of this emerging field. While the country may currently be mired in a ground wars against insurgents and extremist groups, the DoD is looking at future skirmishes. The department's long-term artificial intelligence plans are focused more on conflicts with countries like Russia, China and North Korea than terrorism.

The Boy in the Ambulance Is a Stark Reminder of Aleppo's Pain What Twitter's Head of Safety Says About Rampant Abuse

Traffic during rush-hour is an ever-growing issue for commuters. With 60 per cent of the world's population expected to live in cities by 2030, the problem is only going to get worse. But there may be good news that could cut commute times right down. Airbus is designing a fleet of self-flying taxis in the hopes of relieving urban congestion. Airbus is designing a fleet of self-flying taxis in the hopes of relieving urban congestion.

BT and Ticketmaster are more than just global leaders in their industries – they are example enterprise organisations already implementing artificial intelligence technology like Natural Language Process, Digital Assistants and Text Analytics into their strategies to improve customer support, experience and business growth. With the news of Google's DeepMind machine learning system and IBM's breakthrough artificial (AI) imitation of brain neurons, it's easy to assume that AI is still designated to hi-tech facilities with scientists in white lab coats and robots rolling past – and business leaders are not exempt from this belief that AI. Although common rebuffs about artificial intelligence claim'there aren't many use cases in the space', AI within enterprise businesses is already available and being implemented – perhaps just not on the same scale or format of what we see in media today (ie the all-robot staff at the Henn-na Hotel in Japan). "We've identified 191 discrete use cases where artificial intelligence is being used today, or will be used in the near future," notes Clint Wheelock, CEO, managing director of Tractica, a market intelligence firm focused on human interaction with technology. "These use cases span 27 different industries and range from well-known applications like algorithmic trading or static image recognition to more specialized emerging areas such as emotion recognition or processing of healthcare patient data."

This AI can tell if you're depressed by looking through your Instagram photos Sex doll makers "putting finishing touches" to artificial intelligence app so they can love you back

This article is a part of an evolving theme. Here, I explain the basics of Deep Learning and how Deep learning algorithms could apply to IoT and Smart city domains. Specifically, as I discuss below, I am interested in complementing Deep learning algorithms using IoT datasets. I elaborate these ideas in the Data Science for Internet of Things program which enables you to work towards being a Data Scientist for the Internet of Things (modelled on the course I teach at Oxford University and UPM – Madrid). Deep learning is often thought of as a set of algorithms that'mimics the brain'. A more accurate description would be an algorithm that'learns in layers'.

This AI can tell if you're depressed by looking through your Instagram photos Sex doll makers "putting finishing touches" to artificial intelligence app so they can love you back

This AI can tell if you're depressed by looking through your Instagram photos

Ride-hailing service Uber will start hauling passengers with self-driving cars on the streets of Pittsburgh in next several weeks. The company says the self-driving Volvo XC90 cars will have human backup drivers to begin with, but the announcement will surely ring alarm bells amongst the country's 327,000 Uber drivers and millions who drive for a living who could be out of a job. Uber's cars are outfitted with cameras, lasers and sensors to help them navigate the city's streets. Ride-hailing service Uber says it will start hauling passengers with self-driving Volvo CX90 cars on the streets of Pittsburgh in next several weeks. But the company said they will also have back-up drivers.