artificial intelligence News for August 24 2017

Future Intelligence=Human Intelligence(HI) + Artificial Intelligence(AI)
http://www.youtube.com/watch?v=ISfZ3IauNpU
Siri creator and Change.org founder Adam Cheyer is talking about future intelligence could be fusion of human intelligence and artificial intelligence, …

Artificial Intelligence authors/titles recent submissions

Comments: A video showing our experimental results will be uploaded soon.
Subjects: Learning (cs.LG); Artificial Intelligence (cs.AI); Robotics (cs.RO) …
more…

The Artificial Intelligence Revolution: Part 1

AI Caliber 1) Artificial Narrow Intelligence: Sometimes referred to as Weak AI, Artificial Narrow Intelligence is AI that specializes in one area. AI Caliber 2) Artificial General Intelligence: Sometimes referred to as Strong AI, or Human-Level AI, Artificial General Intelligence refers to a computer that is as smart as a human across the board-a machine that can perform any intellectual task that a human being can. AI Caliber 3) Artificial Superintelligence: Oxford philosopher and leading AI thinker Nick Bostrom defines superintelligence as “An intellect that is much smarter than the best human brains in practically every field, including scientific creativity, general wisdom and social skills.” Artificial Superintelligence ranges from a computer that’s just a little smarter than a human to one that’s trillions of times smarter-across the board. Where We Are Currently-A World Running on ANI. Artificial Narrow Intelligence is machine intelligence that equals or exceeds human intelligence or efficiency at a specific thing. Cars are full of ANI systems, from the computer that figures out when the anti-lock brakes should kick in to the computer that tunes the parameters of the fuel injection systems. Nothing will make you appreciate human intelligence like learning about how unbelievably challenging it is to try to create a computer as smart as we are. Moore’s Law is a historically-reliable rule that the world’s maximum computing power doubles approximately every two years, meaning computer hardware advancement, like general human advancement through history, grows exponentially. Raw computational power alone doesn’t make a computer generally intelligent-the next question is, how do we bring human-level intelligence to all that power? One example of computer architecture that mimics the brain is the artificial neural network. More extreme plagiarism involves a strategy called “Whole brain emulation,” where the goal is to slice a real brain into thin layers, scan each one, use software to assemble an accurate reconstructed 3-D model, and then implement the model on a powerful computer. If engineers get really good, they’d be able to emulate a real brain with such exact accuracy that the brain’s full personality and memory would be intact once the brain architecture has been uploaded to a computer. A group of computers would try to do tasks, and the most successful ones would be bred with each other by having half of each of their programming merged together into a new computer. We’d teach computers to be computer scientists so they could bootstrap their own development. A worldwide network of AI running a particular program could regularly sync with itself so that anything any one computer learned would be instantly uploaded to all other computers.
more…

Accenture Report: Artificial Intelligence Has Potential to Increase Corporate Profitability in 16 Industries by an Average of 38 Percent by 2035

NEW YORK; June 21, 2017 – Businesses that successfully apply artificial intelligence could increase profitability by an average of 38 percent by 2035, according to a new report from Accenture. The introduction of AI could lead to an economic boost of US$14 trillion in additional gross value added across 16 industries in 12 economies. “Artificial intelligence will revolutionize how businesses compete and grow, representing an entirely new factor of production that can ignite corporate profitability,” said Paul Daugherty, chief technology & innovation officer, Accenture. “To realize this significant opportunity, it’s critical that businesses act now to develop strategies around AI that put people at the center, and commit to develop responsible AI systems that are aligned to moral and ethical values that will drive positive outcomes and empower people to do what they do best – imagine, create and innovate.” The report, developed by Accenture Research in collaboration with Frontier Economics, measures the potential economic impact of AI in GVA, a close approximation of gross domestic product that accounts for the value of goods and services produced. The research compared the economic growth rates of 16 industries in 2035 in a baseline scenario showing current assumptions of expected growth, to an AI scenario showing expected growth with AI integrated into economic processes, finding that AI has the potential to increase economic growth rates by a weighted average of 1.7 percentage points. Of the industries studied, information and communication, manufacturing and financial services are the three sectors that will see the highest annual GVA growth rates in an AI scenario, with 4.8 percent, 4.4 percent and 4.3 percent respectively by 2035. Even labor-intensive sectors such as education and social services -where productivity growth is traditionally slow – will see a significant increase of US$109 billion and US$216 billion in GVA respectively. Annual growth rates by 2035 of gross value added, comparing baseline growth to an artificial intelligence scenario where AI has been absorbed into a sector’s economic processes. In capital-intensive industries such as manufacturing, AI powered machines will eliminate faulty machines and idle equipment, delivering constantly rising rates of return, resulting in equally dramatic profit increases of 39 percent by 2035. Regardless of industry, companies now have a significant opportunity to apply AI and invent new business capabilities for growth, profitability and sustainability. “By optimizing processes with intelligent automation, augmenting human labor and physical capital, and propelling new innovations, AI can drive dramatic and long lasting profitability and economic growth.” This research builds on the Why Artificial Intelligence is the Future of Growth report released in 2016 that examined the economic impact of AI across 12 developed economies. The report found that AI could double annual economic growth rates by 2035 and boost labor productivity by up to 40 percent by fundamentally changing the way work is done. Combining unmatched experience and specialized skills across more than 40 industries and all business functions – underpinned by the world’s largest delivery network – Accenture works at the intersection of business and technology to help clients improve their performance and create sustainable value for their stakeholders.
more…

Why Stephen Hawking and Bill Gates Are Terrified of Artificial Intelligence

In the last year, artificial intelligence has come under unprecedented attack. Two Nobel prize-winning scientists, a space-age entrepreneur, two founders of the personal computer industry – one of them the richest man in the world – have, with eerie regularity, stepped forward to warn about a time when humans will lose control of intelligent machines and be enslaved or exterminated by them. Their hue and cry is all the more remarkable because two of the protestors – Bill Gates and Steve Wozniak – helped create the modern information technology landscape in which an A.I. renaissance now appears. One – Stuart Russell, a co-signer of Stephen Hawking’s May 2014 essay, is a leading A.I. expert. Many argue we should dismiss their anxiety because the rise of superintelligent machines is decades away. Others claim their fear is baseless because we would never be so foolish as to give machines autonomy or consciousness or the ability to replicate and slip out of our control. “We don’t know how to control superintelligent machines.” Stephen Hawking deftly framed the issue when he wrote that, in the short term, A.I.’s impact depends on who controls it; in the long term, it depends on whether it can be controlled at all. Hawking implicitly acknowledges that A.I. is a “Dual use” technology, a phrase used to describe technologies capable of great good and great harm. IBM’s Watson, the Jeopardy-beating “Thinking machine,” is studying to take the federal medical licensing exam. How long until a thinking machine masters the art of A.I. research and development? Put another way, when does HAL learn to program himself to be smarter in a runaway feedback loop of increasing intelligence? The crux of the problem is that we don’t know how to control superintelligent machines. Omohundro’s research concludes that the drives of superintelligent machines will be on a collision course with our own, unless we design them very carefully. Shouldn’t some fraction of that be invested in the ethics of autonomous machines, solving the A.I. control problem and ensuring mankind’s survival?
more…

Artificial Intelligence: Stop or Go? | HuffPost

In classical Chinese painting, one sometimes sees distinguished figures in a mountain retreat, involved in “the four elegant pursuits.” The first three are …
more…

Artificial Intelligence: 10 Things To Know – InformationWeek

Artificial intelligence (AI) is already widely used in software and online services and it is becoming more common, thanks to ongoing progress in machine learning …
more…

What is Artificial Intelligence

Roughly speaking, Artificial Intelligence is the study of man-made computational devices and systems which can be made to act in a manner which we would be inclined to call intelligent. The significance of this system was that, in the words of Feigenbaum and Feldman LOGIC THEORIST was “…the first foray by artificial intelligence into high-order intellectual processes. The first conclusion is that computers are physical symbol systems, in the relevant sense, and thus there are grounds to believe that they should be able to exhibit intelligence. The research based upon this strategy has come to be known as the field of Artificial Neural Networks, and is currently one of the major specialist sub-areas within AI. On interesting aspect of Artificial Neural Networks is that many of these systems also learn, thereby incorporating some of the advantages of the machine learning strategy to solving the Common Sense Knowledge Problem. Artificial Neural Network systems have been successful at solving many problems, such as those involving pattern recognition, which have proved hard for other approaches.
more…

Artificial Intelligence

An Artificial Intelligence is a self-aware computing system capable of learning and independent decision making. Artificial intelligence is a key concern for the Citadel races, one that pre-dates the emergence of sentient geth, though the geth are seen as a perfect example of how organic and synthetic life would struggle to co-exist. An AI gives the view from the other side of the fence when it tells Shepard that, from a synthetic point of view, “All organics must destroy or control synthetic life forms”. By 2183, only four corporations have been licensed by the Citadel to develop artificial intelligence for research purposes, one of which is Synthetic Insights, Ltd. There is a documented event in the Citadel Archives dated 1896 CE, the year the Geth War ended and the quarians were forced into exile, featuring a standoff between three armed C-Sec officers and three unarmed mechs that are housing the last of the AIs on the Citadel. The mech makes one last plea for them to be spared before all three mechs are gunned down.
more…