Artificial Intelligence, or AI for short, has become quite the public buzzword. Companies and investors are pouring money into the field. Universities -- even high schools -- are rushing to start new degree programs or colleges dedicated to AI. Civil society organizations are scrambling to understand the impact of AI technology on humanity, and governments are competing to encourage or regulate AI research and deployment. One country, the United Arab Emirates, even boasts a minister for AI. At the same time, the world's militaries are developing AI-based weaponry to defeat their enemies, police agencies are experimenting with AI as a surveillance tool to identify or interrogate suspects, and companies are testing its ability to replace humans in menial or more meaningful jobs -- all of which may change the equation of life for all of the world's people.
If you've dug into any articles on artificial intelligence, you've almost certainly run into the term "neural network." Modeled loosely on the human brain, artificial neural networks enable computers to learn from being fed data. The efficacy of this powerful branch of machine learning, more than anything else, has been responsible for ushering in a new era of artificial intelligence, ending a long-lived "AI Winter." Simply put, the neural network may well be one of the most fundamentally disruptive technologies in existence today. This guide to neural networks aims to give you a conversational level of understanding of deep learning.
Artificial Intelligence (AI) is the model of human intelligence processes by machines, especially computer systems. These processes include reasoning, learning and self-correction. The specific application of AI provides speech recognition, machine vision and expert systems. Artificial Intelligence can be categorized as either strong AI or weak AI. Strong AI is also called artificial general Intelligence.
THE CHILD chess prodigy who created a computer that outplays human grandmasters--Demis Hassabis, founder of DeepMind--explains how games are a testing ground for algorithms and what real-world challenges he hopes to tackle with artificial intelligence. And, what can AlphaZero, the game-playing computer, teach human players? Kenneth Cukier also speaks to chess players Natasha Regan and Matthew Sadler, the authors of "Game Changer" on AlphaZero's chess strategy, as well as the chess historian Dominic Lawson about the future of machine intelligence and its interplay with human wisdom. Upgrade your inbox and get our Daily Dispatch and Editor's Picks.
As artificial intelligence (AI) research and development continues to strengthen, there have been some incredibly intriguing projects where machines battled man in tasks that were once thought the realm of humans. While not all were 100% successful, AI researchers and technology companies learned a lot about how to continue forward momentum as well as what a future might look like when machines and humans work alongside one another. Here are some of the highlights from when artificial intelligence battled humans. World Champion chess player Garry Kasparov competed against artificial intelligence twice. In the first chess match-up between machine (IBM Deep Blue) and man (Kasparov) in 1996 Kasparov won.
Bill Gates says that the company that cracks the Third Wave of AI will be worth 10 Microsofts. But what is this'Third Wave', anyway? AI isn't as newfangled as we'd like to think, and over the years upgrades in existing hardware and techniques have periodically energized interest and development in the field, similar to the jumps in VR technology. Our progress in the AI field is significantly greater than where it was even just ten years ago. When we talk about'waves', we're talking about these jumps.
During one experiment, the poker bot Pluribus played against five professional players. During one experiment, the poker bot Pluribus played against five professional players. In artificial intelligence, it's a milestone when a computer program can beat top players at a game like chess. But a game like poker, specifically six-player Texas Hold'em, has been too tough for a machine to master -- until now. Researchers say they have designed a bot called Pluribus capable of taking on poker professionals in the most popular form of poker and winning.
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.
Artificial intelligence no longer is the "next new thing." AI, machine learning, deep learning and other forms of algorithmic-based, automated processes are now mainstream and on their way to being deeply integrated into a wide range of front office, back office and in-the-field operations. And we certainly have seen a lot of great examples of AI being used to spot potential cybersecurity threats and preventing their infection on an organization. As business leaders, you have given at least some consideration to the notion that AI will completely replace soon your security operations center (SOC). After all, you've probably calculated the money it takes to run your SOC 24/7/365, and what it means when your CISO comes to an executive lunch or the board meeting and explains that we need more resources – i.e., people, technology and money – to fight new and more security threats.
When the US Library of Congress ranked history's most important innovations, it gave a foremost place to the printing press. While the mechanics behind the printing press weren't far more sophisticated than the other machines of its era, the consequences of its invention were world changing; finally, mankind had a means for the mass distribution of information, improving literacy and changing every industry in the world. Technologies such as these are known as foundational technologies, inventions that can be applied to solve a multitude of problems across a vast number of industries. More contemporary examples include the internet which is now used nearly constantly in all industries and in our personal lives and smartphones, which are so completely integrated with our lives it seems impossible to live without them. As we peer into the near future, we can already see some of the next great potential foundational technologies arising.