Goto

Collaborating Authors

Results


Will AI Take Over The World?

#artificialintelligence

If AI has a goal and humanity just happens to be in the way, it will destroy humanity as a matter of course without even thinking about it…It's just like, if we're building a road and an anthill just happens to be in the way, we don't hate ants, we're just building a road.


How advancements in artificial intelligence will impact content marketing

#artificialintelligence

From content strategy and audience targeting to SEO and email writing, a wide variety of activities performed by marketers every day will be intelligently automated to a certain degree in the near future. Honey Singh, CEO, #ARM Worldwide writes a few ways in which you can use artificial intelligence and strengthen your marketing strategy. Back in 1950, Alan Turing, the English logician and computer scientist, posed the question: "Can machines think?" Since then, computers have done everything; from defeating a Russian chess grandmaster to writing a sci-fi screenplay. The way AI has entered our lives and changed our perception tells us a lot about what the future holds for us.



Artificial Intelligence, Deep Learning, and How it Applies to Entertainment

#artificialintelligence

In 1955, computer scientist John McCarthy coined the term artificial intelligence. Just five years before, English Mathematician Alan Turing had posed the question, "Can Machines Think?" Turing proposed a test: could a computer be built which is indistinguishable from a human? This test, often referred to as the Turing Test, has sparked the imagination of AI researchers ever since and been a key idea in the field. In the late 1990s artificial intelligence made its mark again, when IBM's Deep Blue beat the world chess champion Gary Kasparov. Since then, advances in computing power and data accumulation have led to a proliferation of new technologies driven by artificial intelligence.


Meeting the Challenge of Artificial Intelligence

#artificialintelligence

For example, one national firm leader reported that more than 25% of its new entry-level hires are science, technology, engineering, and math (STEM) majors (Allan Koltin, opening remarks at Advisory Board's Winning is Everything Conference, Dec. 13, 2017, http://bit.ly/2wrh091). Specifically for the accounting profession, the integration of artificial intelligence (AI) with robotic process automation (RPA) can create intelligent virtual workers to improve productivity. On facing the challenge of AI, Barry Melancon, AICPA CEO and president, has said, "With AI the whole ramification of jobs in society is a huge issue, and those that embrace it will be the most successful" (Michelle Perry, "AICPAs Barry Melancon on the Challenge of Change in Accountancy," ICAS website, Oct. 6, 2017, http://bit.ly/2Wajgkm). While AI is still an evolving technology, many applications have recently made impressive leaps. For example, computers can defeat chess champions, help drive cars, instruct drones to return automatically, provide medical diagnoses, perform as virtual assistants, and navigate vacuum cleaners through a furnished house.


[REPORT PREVIEW] The Age of AI

#artificialintelligence

But the idea of AI -- of machines that can sense, classify, learn, reason, predict, and interact -- has been around for decades. Today, the combination of massive and available datasets, inexpensive parallel computing, and advances in algorithms has made it possible for machines to function in ways that were previously unthinkable.1 While the more obvious examples such as robotics, driverless cars, and intelligent agents such as Siri and Alexa tend to dominate the news, artificial intelligence has much wider implications. Gartner predicts that "by 2020, algorithms will positively alter the behavior of billions of global workers."2 Markets & Markets expects the AI market to reach $5.05B by 2020.3 This report lays out the current state of AI for business, describes primary and emerging use cases, and states the risks, opportunities, and organizational considerations that businesses are facing. It concludes with recommendations for companies thinking about applying AI to their own organizations and a look at some of the business, legal, and technical trends that are likely to shape the future. Executive Summary 1 What is Artificial Intelligence? 2 Use Cases for Artificial Intelligence 8 Implications and Recommendations 13 A Look at the Future 17 End Notes 19 Methodology 22 Acknowledgements 23 About Us 24 TABLE OF CONTENTS 3. www.altimetergroup.com


Is Ireland braced for the approaching AI storm?

#artificialintelligence

The only way to win at technological change like artificial intelligence is to stay ahead of it. And Ireland is doing just that, writes John Kennedy. Thanks to artificial intelligence (AI), we are in the midst of the biggest technological upheaval humanity has ever seen. It is both seminal and frightening. If you really want a metaphor for the storm of change that is coming, check out this recent Bloomberg documentary Inside China's High-Tech Dystopia which shows thousands of workers in Shenzhen assembling the latest smartphones.


The Evolution of Artificial Intelligence: From ELIZA to Watson Insights Unboxed

#artificialintelligence

In an earlier blog article I wrote about how human intelligence differs from artificial intelligence, namely human intelligence is general intelligence while artificial intelligence is specialized intelligence. The article provides "food for thought" for those who fear technology evolution, and specifically AI. In today's article I offer more reflections on the evolution of AI. Put in simple words, AI is about Thinking Machines. The English computer scientist Alan Turing was the first academic who proposed to consider the question "Can machines think?" in 1950.


History of artificial intelligence - Wikipedia, the free encyclopedia

#artificialintelligence

The history of artificial intelligence (AI) began in antiquity, with myths, stories and rumors of artificial beings endowed with intelligence or consciousness by master craftsmen; as Pamela McCorduck writes, AI began with "an ancient wish to forge the gods."[1] The seeds of modern AI were planted by classical philosophers who attempted to describe the process of human thinking as the mechanical manipulation of symbols. This work culminated in the invention of the programmable digital computer in the 1940s, a machine based on the abstract essence of mathematical reasoning. This device and the ideas behind it inspired a handful of scientists to begin seriously discussing the possibility of building an electronic brain. The Turing test was proposed by British mathematician Alan Turing in his 1950 paper Computing Machinery and Intelligence, which opens with the words: "I propose to consider the question, 'Can machines think?'" The term'Artificial Intelligence' was created at a conference held at Dartmouth College in 1956.[2] Allen Newell, J. C. Shaw, and Herbert A. Simon pioneered the newly created artificial intelligence field with the Logic Theory Machine (1956), and the General Problem Solver in 1957.[3] In 1958, John McCarthy and Marvin Minsky started the MIT Artificial Intelligence lab with 50,000.[4] John McCarthy also created LISP in the summer of 1958, a programming language still important in artificial intelligence research.[5] In 1973, in response to the criticism of James Lighthill and ongoing pressure from congress, the U.S. and British Governments stopped funding undirected research into artificial intelligence. Seven years later, a visionary initiative by the Japanese Government inspired governments and industry to provide AI with billions of dollars, but by the late 80s the investors became disillusioned and withdrew funding again. McCorduck (2004) writes "artificial intelligence in one form or another is an idea that has pervaded Western intellectual history, a dream in urgent need of being realized," expressed in humanity's myths, legends, stories, speculation and clockwork automatons.[6] Mechanical men and artificial beings appear in Greek myths, such as the golden robots of Hephaestus and Pygmalion's Galatea.[7] In the Middle Ages, there were rumors of secret mystical or alchemical means of placing mind into matter, such as J?bir ibn Hayy?n's Takwin, Paracelsus' homunculus and Rabbi Judah Loew's Golem.[8] By the 19th century, ideas about artificial men and thinking machines were developed in fiction, as in Mary Shelley's Frankenstein or Karel?apek's