In the year 1820, a person could expect to live less than 35 years, 94% of the global population lived in extreme poverty, and less that 20% of the population was literate. Today, human life expectancy is over 70 years, less that 10% of the global population lives in extreme poverty, and over 80% of people are literate. These improvements are due mainly to advances in technology, beginning in the industrial age and continuing today in the information age. There are many exciting new technologies that will continue to transform the world and improve human welfare. Here are eleven of them.

Users arriving at, say, an airport would book a seat on a so-called zenHop "CityAirbus" drone, then proceed to a "zenHub" helipad, according to the concept. They'd be flown to their destination for about the same cost as a taxi, since the ride would be shared by several passengers. Luggage would be delivered by another service (zenLuggage, of course), and the whole thing would be safeguarded from hackers by (wait for it) zenCyber. The company said that the CityAirbus multi-rotor, electric aircraft design has been "kept under wraps," though it did supply an artist's impression (above). The Airbus Helicopter subsidiary has been working on the drone-like design for two years, and it "could soon become reality without having to wait for too many regulatory changes," according to the press release. Airbus is also working on a drone delivery service (below) and plans to start testing it at a Singapore university by mid-2017.

Scientists in Japan reportedly saved a woman's life by applying artificial intelligence to help them diagnose a rare form of cancer. Faced with a 60-year-old woman whose cancer diagnosis was unresponsive to treatment, they supplied an AI system with huge amounts of clinical cancer case data, and it diagnosed the rare leukemia that had stumped the clinicians in just ten minutes. The Watson AI system from IBM matched the patient's symptoms against 20m clinical oncology studies uploaded by a team headed by Arinobu Tojo at the University of Tokyo's Institute of Medical Science that included symptoms, treatment and response. The Memorial Sloan Kettering Cancer Center in New York has carried out similar work, where teams of clinicians and data analysts trained Watson's machine learning capabilities with oncological data in order to focus its predictive and analytic capabilities on diagnosing cancers. IBM Watson first became famous when it won the US television game show Jeopardy in 2011.

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.

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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."

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Just this week, American fast food chain Taco Bell announced the TacoBot, which you can text via the Slack messaging app. You can use the bot to order food for yourself or a group of friends or co-workers, ask for recommendations and pay for it through Slack. As an executive said at the launch: "TacoBot is the next best thing to having your own Taco Bell butler…and who wouldn't want that?" You can order Domino's pizza through Amazon's AI assistant Echo (which hasn't made its way to the UK yet), and multinationals like Unilever and BMW use a simple Q&A bot that can answer any question a customer services employee would. The Henn-na hotel, which opened in Nagasaki, Japan last summer, is the world's first hotel to be fully staffed by robots – from check-in staff, to porters and the concierge.