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Three Impacts Of Artificial Intelligence On Society

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Over the next five years, we are about to witness the world we live in entirely disrupted by improvements in artificial intelligence (AI) and machine learning. Children today are growing up with AI assistants in their homes (Google Assistant, Siri and Alexa) -- to the point that you might consider their mere presence an extension of co-parenting. As voice and facial recognition continue to evolve, machine learning algorithms are getting smarter. More and more industries are being influenced by AI, and our society as we know it is transforming. The transportation industry looks like it will be the first to be completely disrupted by artificial intelligence.


Three Impacts Of Artificial Intelligence On Society

Forbes Technology

Over the next five years, we are about to witness the world we live in entirely disrupted by improvements in artificial intelligence (AI) and machine learning. Children today are growing up with AI assistants in their homes (Google Assistant, Siri and Alexa) -- to the point that you might consider their mere presence an extension of co-parenting. As voice and facial recognition continue to evolve, machine learning algorithms are getting smarter. More and more industries are being influenced by AI, and our society as we know it is transforming. The transportation industry looks like it will be the first to be completely disrupted by artificial intelligence.


The Amazing Ways Tesla Is Using Artificial Intelligence And Big Data

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Tesla has become a household name as a leader and pioneer in the electric vehicle market, but it also manufactures and sells advanced battery and solar panel technology.


Machine learning and data are fueling a new kind of car, brought to you by Intel

@machinelearnbot

The automobile is being dismantled, reimagined, and rebuilt in Silicon Valley. Intel's proposed $15.3 billion acquisition of Mobileye, an Israeli company that supplies carmakers with a computer-vision technology and advanced driver assistance systems, offers a chance to measure the scale of this rebuild. In particular, it shows how valuable on-the-road data is likely to be in the evolution of automated driving. While the price tag might seem steep, especially with so many players in automated driving today, Mobileye has some key technological strengths and strategic advantages. It's also developing new technologies that could help solidify this position.


The robot revolution

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Machine learning is going to fundamentally alter our world for the better, improving healthcare, the manufacturing industry and assisting in the prediction of supply and demand levels across a plethora of industries. For those who are into science fiction, the term'machine learning' immediately conjures up images of computers taking over the world, either to send murderous terminators from the future to our present or to place us all inside the Matrix as living power batteries. Fortunately, the truth about machine learning is not only far more prosaic, but also much more promising for the future of the human race. Basically, machine learning uses algorithms that iteratively learn from data, meaning that it enables computers to find hidden insights without being explicitly programmed where to look. The iterative aspect is especially important, as it means that as the computer is exposed to new data, it is able to independently adapt.


No reason to fear the robot revolution - TechCentral

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Machine learning is going to alter our world fundamentally for the better, improving healthcare and the manufacturing industry, and assisting in the prediction of supply and demand levels across a range of industries. For those who are into science-fiction, the term "machine learning" immediately conjures up images of computers taking over the world, either to send murderous terminators from the future to our present or to place us all inside the Matrix as living power batteries. Fortunately, the truth about machine learning is not only far more prosaic, but also much more promising for the future of the human race. Basically, machine learning uses algorithms that iteratively learn from data, meaning that it enables computers to find hidden insights without being explicitly programmed where to look. The iterative aspect is especially important, as it means that as the computer is exposed to new data, it is able to adapt independently.


Analyst warns of Tesla's Autopilot machine learning potentially rendering all other cars obsolete

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Before introducing the second generation Autopilot hardware, Tesla CEO Elon Musk said that once the first truly self-driving car is available, all other vehicles without the technology will have a "negative value". Echoing the idea, Morgan Stanley analyst Adam Jonas said this week that they started warning their clients that if Tesla is successful in enabling fully self-driving capability on its current vehicles equipped with the second generation Autopilot hardware, it could render all other cars obsolete. Fresh off his note about the Tesla Model 3's self-driving capability giving'superhuman' safety to drivers and be '10x safer than current cars', Adam Jonas went on CNBC yesterday to drive his point. Jonas has long been promoting the theory that the combination of ride-sharing, electric cars, and self-driving will significantly change the auto industry from being measured on the basis of cars sold to the basis of miles driven. "Well, we think the electric cars for private use really are … for human driving pleasure for wealthier individuals.


Artificial Intelligence and Robotics: Who's Liable for the decisions made?

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Reuters news agency reported on 16th February 2017 that "European lawmakers called...for EU-wide legislation to regulate the rise of robots, including an ethical framework for their development and deployment and the establishment of liability for the actions of robots including self-driving cars." The question of determining'liability' for decision making achieved by robots or artificial intelligence is an interesting and important subject as the implementation of this technology increases in industry, and starts to more directly impact our day to day lives. Indeed, as application of Artificial Intelligence and machine learning technology grows, we are likely to witness how it changes the nature of work, businesses, industries and society. And yet, although it has the power to disrupt and drive greater efficiencies, AI has its obstacles: the issue of'who is liable when something goes awry' being one of them. Like many protagonists in industry, Members of the European Parliament (MEPs) are trying to tackle this liability question.


Using artificial intelligence to teach computers to see

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Creating a self-driving car should not be difficult, but it's taking a while. Autonomous vehicles have been making headlines for years now, yet few of us have ever been in one or even seen one. We know that flying planes is more difficult than driving cars, yet pilots have enjoyed autopilot for decades. The answer is clear, or more precisely, clear vision. Pilots have used autopilot for decades in clear, open skies.


The five upstarts that are leading the AI and machine learning revolution ZDNet

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In the past few years, the market for artificial intelligence (AI) and machine learning technologies has gained strong momentum. What's interesting, though, is that the much of the innovation in this space is driven by disruptors, not legacy vendors. These'upstarts' are companies born in the internet age or companies that have transitioned into the AI market, and are building out useful AI products that will likely broaden in their impact over time. Much like how Amazon Web Services (AWS) became the infrastructure provider of choice for many companies with the rise of the public cloud, many of these upstarts will see their products widen in application. While many of these companies might have originally created their product for a specific use case, it's possible that they will grow into platforms on which the company may build an additional revenue stream.