Articles about Artificial Intelligence

Speaking at the Freescale Technology Forum about the growth of artificial intelligence, Apple co-founder Steve Wozniak has claimed that one day robots will be in charge and will treat humans as their pets.

After previously warning about the dangers of AI, "the woz" now believes that the robots we create will learn to protect and nurture us in much the same way that we look after dogs today.

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Mark Zuckerberg's Facebook is more usually associated with social networking, but the company has its fingers in plenty of other pies as well -- including Internet.org. Now the company is expanding its Facebook AI Research (FAIR) program to help with the automatic sorting and analysis of pictures, videos, text, and other data.

Facebook already has research teams looking into artificial intelligence in Menlo Park and New York, and the expansion sees the creation of a new team in Paris. The aim is create system that make it easier to manage the ever-growing quantities of data that are generated day in, day out by Facebook users.

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When SpaceX and Tesla founder Elon Musk recently said that with artificial intelligence we’re "summoning the demon", he wasn’t joking.

He was genuinely concerned about artificial intelligence turning against humanity, and according to a new book by Ashlee Vance, he still is.

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You may remember the allegory of the cave, or Descartes’ "veil of perception". If not, you probably remember the Matrix. Whether the method is pop culture or philosophy, you’re most likely aware of the concept of the universe you live in being a mere simulation of reality.

Eliezer Yudkowsky of the Machine Intelligence Research Institute has put forward a scenario to consider the effectiveness of trapping an AI to study it. But could humans hope to outsmart an AI which is hopelessly beyond them? He suggests that any sufficiently advanced intelligence would be irresistibly persuasive, making them impossible to safely study.

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Why aren’t the politicians doing anything about it? Why aren’t we talking about it more? No it’s not immigration, the economy or terrorism. It’s bigger and, readers, you created it.

I am talking about the idea that within the next 20 years, half of all jobs on this planet will automated. Those with routine low skilled jobs will be the first to go followed by huge swathes of white collar workers. Yes, the robots are coming.

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Apple co-founder Steve Wozniak has warned the dangers of artificial intelligence could seep into jobs and our life, potentially creating robot leaders and CEOs capable of running a country or company more efficiently than humans.

Wozniak shares the opinion of Tesla Motors CEO Elon Musk and scientist Stephen Hawking that unregulated artificial intelligence could have catastrophic consequences for humanity.

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Let's face it, we're always at risk, and I speak for human kind, not just the personal risks we take each time we leave our homes. Some of these potential terrors are unavoidable -- we can't control the asteroid we find hurtling towards us or the next super volcano that may erupt as the Siberian Traps once did.

Some risks however, are well within our control, yet we continue down paths that are both exciting and potentially dangerous. In his book Demon Haunted World, the great astronomer, teacher and TV personality Carl Sagan wrote "Avoidable human misery is more often caused not so much by stupidity as by ignorance, particularly our ignorance about ourselves".

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Last month, a collection of the world’s most renowned scientists and technology entrepreneurs signed an open letter from The Future of Life Institute warning of the potential dangers that unchecked artificial intelligence could bring.

The institute cautioned that, while AI has the potential to do good such as eradicating disease and poverty, the risks are often being left unconsidered as private companies fund millions of dollars into rapidly accelerating research programs.

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I don't drink alcohol now, but I did many years ago in high school and college. For whatever reason, both young and older adults like to enhance their drinking with games. Quite frankly, drinking can be dangerous, and lead to foolish decisions, so making it into a competitive sport is probably not a great idea, regardless of how fun it is.

Beer pong is probably the most popular drinking-based game, and I can understand the allure. Your goal is to throw ping pong balls into cups of beer, in an attempt to get drunk. Believe it or not, there are even professional players that earn real money at tournaments. Today, the entire beer pong community has been rocked; this year at CES a robot called VERSABALL will be challenging humans in the game. Are human competitors in danger?

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As 2014 races into the home straight, a new artificially intelligent computer system has been unveiled with the promise of transforming the global workforce. She's called Amelia.

Named after the American aviator and pioneer Amelia Earhart, the intelligent system is designed around the idea that it can shoulder tedious and labor-intensive tasks, freeing up its human co-workers to focus on more creative opportunities.

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Artificial intelligence (AI) has become a bit of a buzzword among technology professionals (and even within the mainstream public) but truthfully, most people do not know how it works or how it is already being integrated within leading enterprise businesses. AI for businesses is today mostly made up of machine learning, wherein algorithms are applied in order to teach systems to learn from data to automate and optimize processes and predict outcomes and gain insights. This simplifies, scales and even introduces new important processes and solutions for complex business problems as machine learning applications learn and improve over time. From medical diagnostics systems, search and recommendation engines, robotics, risk management systems, to security systems, in the future nearly everything connected to the internet will use a form of a machine learning algorithm in order to bring value. It is the same thing as for humans, we attend schools for many years and we gain practical experience in order to deliver some kind of value.

But what exactly is machine learning, how is it being applied within organizations today, and what does it mean for the future of business? It is becoming ever more crucial for enterprise leaders to understand machine learning, particularly the benefits that it can provide for companies today. Machine learning today is already allowing many businesses to achieve higher productivity and efficiency, innovating their business, and those that do not begin to explore this new tool ultimately are at risk for falling behind their competition.

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