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) …
The lack of actual good and widely used/supported tooling for data annotation is one of the problems that make my day worse everytime our team starts a new project. Most of the targets we use are somehow produces by user activity on our products but most of them are very noisy and requires a lot of back and forth analysis and filtering and creating business rules to avoid problems. It would be a lot better if we just got tools that allowed my data scientists to quickly examine visually the data and create manually labelled datasets not only to train algorithms but also to serve as "unit tests" when evolving the models. We do that manually but I always have the feeling that the with the right tools we could do it much, much quicker. Of course we could build the tools but to be honest I don't even know how such a tool would even look like (and I'm a machine learning expert not a UX expert).
This originally appeared on Quora. USA has been the leader in machine learning, and in tech hubs like Silicon Valley it seems like every company has data scientists employed. The trend has spread to the rest of the country, and there are no indications that any of this is slowing down. SoftBank Corp's human-like robot named "Pepper" gives a coffee cup to a TV personality Kyoko Uchida as they introduce Nestle's coffee machines during a promotion event at an electronics shop in Tokyo December 1, 2014. Nestle SA started to use robots to help sell its coffee makers at electronics stores across Japan, becoming the first corporate customer for the chatty, bug-eyed androids unveiled in June by tech conglomerate SoftBank Corp.
As CFOs operating in the digital age, we must apply new technology to improve old processes. Here in the financial offices of SAP, our shared services team in Singapore has been improving our processes through machine learning. This technology teaches accounting programs how to perform tasks without being programmed, using sophisticated algorithms to learn by analyzing enormous amounts of data. One process we've improved with machine learning is cash application. Traditionally, accountants receivable teams would spend hours analyzing data to resolve discrepancies in digital payments.
This article is part of CMO.com's March/April series about emerging technology. Don't confuse the replacement of duties with the replacement of jobs: It's an important point when it comes to the impact of artificial intelligence on the workforce. Not only does the emerging technology promise to free employees of their more mundane responsibilities, it also signals new opportunities for them to learn new skills. Accenture's delivery-centre operation in India–where thousands of employees have not only kept their jobs, but have been reskilled as part of an AI-driven transformation–is a true example. "We don't see it replacing jobs–we see it replacing tasks," said Amit Bansal, Accenture's APAC analytics and artificial intelligence delivery lead.
A Hoboken college is upping the ante on their quest to probe the potential of artificial intelligence, otherwise known as "AI." Stevens Institute of Technology recently announced the formation of the Stevens Institute for Artificial Intelligence (SIAI), an "interdisciplinary, tech-driven collaboration of experts" devoted to using the developing science to make the world a better place to live. "Artificial intelligence is transforming the world and industry as we know it, and the future of AI remains seemingly limitless," said Jean Zu, dean of the Charles V. Schaefer Jr. School of Engineering and Science. "In a world where AI-enabled innovation continues to rapidly evolve, SIAI and its Stevens collaborators will synergistically develop solutions to real-world problems, while providing a platform for training students to be the next generation of AI thought leaders," Zu said. Don't forget to visit the Patch Hoboken Facebook page here.
On April 10, Jonathan Nolan and Lisa Joy were in an editing suite as the internet hyperventilated over their Reddit prank, in which they threatened to thwart spoiler theorists by releasing a video revealing all the secrets of the coming season of "Westworld," their twisty science-fiction series. "When we emerged to see that the story had been picked up all over, it was amusing and a little terrifying," Mr. Nolan said. "But given that a lot of theorizing on Reddit got picked up by other websites and run in the first season, it sort of followed suit." But the joke was on the hand-wringers when what HBO actually released was an elaborate twist on the classic Rickroll, which traditionally shuttles users to the video for Rick Astley's "Never Gonna Give You Up." A brief tease of the new season's opening moments was followed by two of the show's robot "hosts," Dolores (Evan Rachel Wood) and Clementine (Angela Sarafyan), performing the Astley hit on set, and then, finally, a white dog sitting in front of piano while the score plays on a loop.
NDA Lynn, an AI that can evaluate confidentiality agreements for free, is a perfect example of the role artificial intelligence will probably play in our life. For the past decade or so, Arnoud Engelfriet has been the Netherland's go-to guy for any question regarding internet and the law. Also his last name translates roughly to'Angelic Fries,' which is awesome. One of the services Engelfriet offered was checking NDAs if they should be signed. Non-disclosure agreements (NDAs) are pretty standard business contracts used to keep confidential information under wraps.
Recently I finished delivering a lecture to a group of managers about "AI and Computing at the Bleeding Edge", which included discussion of the technological singularity. An attendee then approached me and asked whether I thought Artificial Intelligence was going to take over the world soon and do humanity grievous harm? She was quite serious, too – she meant it as a practical question, applicable to making life choices, not a philosophical one. I was a bit taken aback. Admittedly, I had just explained the concept that beyond the singularity anything can happen, but I also pointed out that we humans had mastered fire and survived, so we should retain our optimism.
Scientists teamed up to use artificial intelligence to discover new alternatives to steel in record time. As a result, they discovered three new blends to form metallic glass and did this 200 times faster than it has ever been done before. Fang Ren, who developed algorithms to analyze data on the fly while a postdoctoral scholar at SLAC, at a Stanford Synchrotron Radiation Lightsource beamline where the system has been put to use. Metallic glass is essentially an alloy of the future. Normally, a few metals can be mixed together so that the ideal properties of each metal are'added' together to make a'super-metal'.