If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
I've been asked to recommend a good book on big data that's not Big Data (which I coauthored with Viktor Mayer-Schönberger, images below). It's a hard question for several reasons. First, though I'm usually brutally critical of my work, it's not a bad book. Yet it's also a difficult question because there are so many good books to chose from. The question becomes: which book is right for whom?
There are several varieties of machine learning skills that are in demand in the global marketplace today. The skill that is most in demand is the ability to come up with fundamental innovations in machine learning, and implement them to solve practical problems. For a research career in artificial intelligence (AI), you need a PhD, preferably from a well-known program, and research competence as demonstrated by published papers, implemented solutions and peer acceptance. For those at the forefront of research, the sky is the limit, and seven-figure USD salaries are not infrequent. The next tier of demand is for people who can build practical implementations, especially in collaboration with a cutting-edge research team.
Looking back to the primitive times, when fire was the greatest achievement of mankind, who could've thought in their wildest dreams about what we as humans have achieved today? Look at the speed with which information can travel across the planet. Today, Algorithmic trading is amongst the most talked about technologies in the recent years. It has given trading Firms more power in the rapidly evolving markets by eliminating human errors and changing the way Financial markets are interlinked today. We are curious to know many other factors pertaining to the subject.
Technology is at the heart of this; driving the disruption through digital ways and means, with the resulting artificial intelligence having a significant impact upon the world of work. Already we've seen well-known brands being shaken up, even decimated, by technological innovators. There are estimations of robots stealing a third of British jobs by 2030 (PWC, 2017). And that, in less than 12 years, computers will possess more intelligence than the average human being (Google). Right now, billions of people are connected across the world – sharing content, experiences and their lives like never before.
Airbus is looking to develop autonomous aircraft and technologies that will allow a single pilot to operate commercial jetliners, helping cut costs for carriers, chief technology officer Paul Eremenko said. "The more disruptive approach is to say maybe we can reduce the crew needs for our future aircraft," Mr Eremenko told Bloomberg Television's Yvonne Man in an interview broadcast on Wednesday. "We're pursuing single-pilot operation as a potential option and a lot of the technologies needed to make that happen has also put us on the path towards unpiloted operation." The aerospace industry has begun seeing a similar trend as the car market, where carmakers are investing in or acquiring autonomous driving startups. Plane manufacturers including Airbus and Boeing are racing to develop artificial intelligence that will one day enable computers to fly planes without human beings at the controls.
The following is a guest article from Joe Conway, founder and CEO of stable kernel. The rapid nature of technological advancement is moving us forward in ways we never predicted. The Internet of Things (IoT), in particular, has the potential to make professionals more efficient and productive through the use of enhanced machine learning (ML), augmented reality (AR) and connected devices. And, in many ways, we're in the age of the IoT now. Companies are adding internet capability to devices that previously could only be monitored by physical access or not at all.
AI could be one of the biggest commercial opportunities for Ireland. Artificial intelligence (AI) is forecast to boost Irish GDP by 11.6pc or the equivalent of an extra €48bn, according to new research by PwC. The consulting giant recommends that the effect on jobs in the long term will at least be neutral, if not net positive, but this depends on employers putting Ireland at the forefront of the AI revolution by investing in skills and technology. 'Put an action plan in place around AI and manage with the same discipline you would put around any technology-enabled transformation. Don't wait for it to happen around you' – RONAN FITZPATRICK The analysis in the PwC report The Economic Impact of Artificial Intelligence on Ireland's Economy shows that the potential for AI to impact the Irish economy is slightly lower than the global average (13.8pc by 2030 and $15.7trn) but slightly higher than in other northern European (9.9pc by 2030 and $1.8trn) and southern European (11.5pc by 2030 and $0.7trn) economies.
The age of Big Data has reached an all new high as disruptive and innovative digital technologies push businesses to adapt quickly in a rapidly changing consumer market. The capabilities and agility of big data combined with the scale of artificial intelligence is helping businesses across industries to understand evolving consumer behaviour and preferences, gain business intelligence and apply valuable insights when creating strategies. The convergence of big data and AI is the most significant development for businesses across the globe, enabling them to capitalise on hitherto unexplored opportunities. A major factor accentuating the importance of big data is also the massive volume of, and speed at which data is created through digital technologies and devices, providing businesses with real-time access to information from far more number of sources than ever before. As the driving force of several industries in 2017, the scale and growth of artificial intelligence in 2018 is expected to be even more greater.
Earlier this month a self-driving shuttle in Las Vegas patiently waited as a delivery truck backed up, then backed up some more, then backed right into it. Inconveniently for the roboshuttle's developer Navya, this happened within hours of the shuttle's inauguration ceremony. The real problem is that the shuttle can't learn from the incident the way a human would: immediately and without forgetting how to do everything else in the process. The U.S. Defense Advanced Research Projects Agency (DARPA) is looking to change the way AI works through a program it calls L2M, or Lifelong Learning Machines. The agency is looking for systems that learn continuously, adapt to new tasks, and know what to learn and when.
This year, STOA's Annual Lecture will focus upon how media and other information is managed and distributed in the age of artificial intelligence (AI). This includes how AI can be used to disseminate quality information as well as misinformation, as well as how algorithms can be used to counteract fake news. At their most simple, they are sets of rules and instructions, usually expressed in computer code, followed in order to solve a problem. For example, applying rules to historical data about people to decide which information to send to them. Algorithms have been around for a long time – longer than AI, and even longer than computers.