If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Only one in 20 companies has extensively incorporated AI in offerings or processes. Less than 39% of all companies have an AI strategy in place. According to MIT Sloan Review, the largest companies -- those with at least 100,000 employees -- are the most likely to have an AI strategy, but only half have one. Despite claims that AI is already being subsumed into an array of applications, we're not there yet and won't be in 2018. It is still the early days of adoption, and those companies that are implementing AI now will see the biggest competitive value.
Sören Schwertfeger finished his postdoctorate research on autonomous robots in Germany, and seemed set to go to Europe or the United States, where artificial intelligence was pioneered and established. China, which for years watched enviously as the West invented the software and the chips powering today's digital age, has become a major player in artificial intelligence, what some think may be the most important technology of the future. Experts widely believe China is only a step behind the United States. Beijing is backing its artificial intelligence push with vast sums of money.
We dug into the private market bets made by major computer chip companies, including GPU makers. Our analysis encompasses the venture arms of NVIDIA, Intel, Samsung, AMD, and more. Recent developments in the semiconductor industry have been sending mixed signals. Stories about Moore's Law slowing have grown common, but analysts affirm that the latest crop of chips (specifically Intel's newest 10-nanometer technology) prove Moore's Law is still alive and well. Meanwhile, the vast application of graphics hardware in AI has propelled GPU (graphics processing unit) maker NVIDIA into tech juggernaut status: the company's shares were the best-performing stock over the past year.
When Gang Xu, a 46-year-old Beijing resident, needs to communicate with his Canadian tenant about rent payments or electricity bills, he opens an app called iFlytek Input in his smartphone and taps an icon that looks like a microphone, and then begins talking. The software turns his Chinese verbal messages into English text messages, and sends them to the Canadian tenant. In China, over 500 million people use iFlytek Input to overcome obstacles in communication such as the one Xu faces. Some also use it to send text messages through voice commands while driving, or to communicate with a speaker of another Chinese dialect. The app was developed by iFlytek, a Chinese AI company that applies deep learning in a range of fields such as speech recognition, natural-language processing, machine translation, and data mining (see "50 Smartest Companies 2017").
A company in California just proved that an exotic and potentially game-changing kind of computer can be used to perform a common form of machine learning. The feat raises hopes that quantum computers, which exploit the logic-defying principles of quantum physics to perform certain types of calculations at ridiculous speeds, could have a big impact on the hottest area of the tech industry: artificial intelligence. Researchers at Rigetti Computing, a company based in Berkeley, California, used one of its prototype quantum chips--a superconducting device housed within an elaborate super-chilled setup--to run what's known as a clustering algorithm. Clustering is a machine-learning technique used to organize data into similar groups. Rigetti is also making the new quantum computer--which can handle 19 quantum bits, or qubits--available through its cloud computing platform, called Forest, today.
By the end of this 10-minute read, you will hopefully have a comprehensive overview of Artificial Intelligence (AI). We'll try our best to give you straightforward and relatable answers on this quite heavy subject. After defining AI and its subfields, we will have a look into the brief history, current use cases, most common fears, and mind-boggling predictions for the future. We encourage you to dig deeper into the 10 great resources we have listed for you at the end of this article. ARTIFICIAL INTELLIGENCE HAS BECOME THE NEW BUZZWORD leaving IoT, Big Data, Automation, Augmented Reality and Virtual Reality in shade.
With technology moving so fast, new ways to automate, and connected machines, how can managers and engineers simplify the complexity of that ecosystem? Is machine learning (ML) or artificial intelligence (AI) the key? This article will define some buzzwords, what they mean, and if they might help simplify these complex technologies so that you can move back into production. New technologies, such as Big Data and the Industrial Internet of Things, are gaining more traction. While security is a concern, some companies push ahead because the benefits are too great.
It seems like every vendor in the data security industry makes predictions this time of year. Which ones should you pay attention to? All of them, says Dan Lohrmann, who formerly served as the state of Michigan's CISO and CTO. See Also: IoT is Happening Now: Are You Prepared? "I really view it as something that professionals need to widen their perspectives," Lohrmann says in an interview with Information Security Media Group.
Meticulous research, deep study of case law, and intricate argument-building--lawyers have used similar methods to ply their trade for hundreds of years. But they'd better watch out, because artificial intelligence is moving in on the field. As of 2016, there were over 1,300,000 licensed lawyers and 200,000 paralegals in the U.S. Consultancy group McKinsey estimates that 22 percent of a lawyer's job and 35 percent of a law clerk's job can be automated, which means that while humanity won't be completely overtaken, major businesses and career adjustments aren't far off (see "Is Technology About to Decimate White-Collar Work?"). In some cases, they're already here. "If I was the parent of a law student, I would be concerned a bit," says Todd Solomon, a partner at the law firm McDermott Will & Emery, based in Chicago.
Since the 2013 Target breach, it's been clear that companies need to respond better to security alerts even as volumes have gone up. With this year's fast-spreading ransomware attacks and ever-tightening compliance requirements, response must be much faster. Adding staff is tough with the cybersecurity hiring crunch, so companies are turning to machine learning and artificial intelligence (AI) to automate tasks and better detect bad behavior. In a cybersecurity context, AI is software that perceives its environment well enough to identify events and take action against a predefined purpose. AI is particularly good at recognizing patterns and anomalies within them, which makes it an excellent tool to detect threats.