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) …
As technologies like artificial intelligence and machine learning become more widely available and ubiquitous, they are having a real effect on payment processes. In less than two decades, the public has both become more aware and more comfortable with using technologies like machine learning and AI in their day-to-day life. There has also been a meaningful increase in investment and adoption of machine learning and AI by companies. On top of that, computer processing technology has made huge leaps and bounds within the last decade. Companies, institutions, and governments now gather massive amounts of data as more consumer interactions and transactions go digital.
In spite of the skepticism that AI is just another technology buzzword, its momentum is real! According to Gartner, by 2020, customers will manage 85% of their relationship with the enterprise without interacting with a human. Digital assistants will be so pervasive that they will optimize employee productivity for most situations. As the way people interact with technology becomes a key differentiator, the enterprise faces a new universal imperative: to include and integrate AI to enhance customer experiences. Besides making traditional interfaces smarter, AI integration is making interfaces invisible as is the case with AI powered voice-assistants.
The Robotart (that's "Robot art") competition aims to combine art and engineering to advance both fields. Vincent van Bot: Of the 100 images submitted to the 2018 Robotart competition, a automaton called CloudPainter rose to the top, with evocative portraits featuring varying degrees of abstraction. One of its winning images (pictured above) was created by a team of neural networks, AI algorithms, and robots. Artistic progress: Robotart's founder, Andrew Conru, told MIT Technology Review that this year's entries have shown refined brushstrokes and composition. "CloudPainter, the winner this year, has been involved all three years and has made the most improvement in his system," he says.
While AI can lift competition and productivity, it also can act as a great leveler, putting smaller players on the same footing as goliaths. Take pharmaceutical research, for example. Large companies have the budget and resources to physically test millions of drug candidates, giving them an advantage over startups and researchers. But smaller labs can achieve similar results by harnessing neural networks that simulate how a potential drug molecule will bind with a target protein. Deep learning can help smaller companies and other researchers discover promising drug treatments by improving the speed and accuracy of molecular docking, the process of computationally predicting how and how well a molecule binds with a protein.
I hate to be the bearer of bad news but today's AI is not as advanced as robo-graders want you to think. If someone you love depends on the SATs or GREs this should trouble you. A recent article by NPR discussed the use of computers to robo-grade essays in exams such as the SAT and GRE. Developers interviewed in the article claim that "computers are already doing jobs as complicated and as fraught as driving cars, detecting cancer, and carrying on conversations, they can certainly handle grading students' essays." According to AI researcher and Assistant Professor Zack Lipton at Carnegie Mellon University, "machine learning can find complex patterns, but all it's doing is discovering associations in the data.
Impact of AI in the Digital and Broadcast Media Industry Impact of'Digitization' in the media space is likely to put over half a trillion USD at stake, as per industry estimates.The digital paradigm in the media industry is expected to restructure the entire business model. In the digital age, user experience has moved away from being content driven to'on-demand' delivery, offered in a device of consumer choice.Emphasis in the coming years is likely to be placed at the intersection of content, technology, and user experience. A number of emerging technologies are disrupting existing business models within the media industry and are offering new opportunities, which traditional enterprises are only beginning to acknowledge. Artificial Intelligence (AI) is being increasingly used to transform the way media houses create content and present them to viewers.AI, by virtue of its data driven intelligence and self-learning abilities, can be used to automate repetitive skill-based jobs. Additionally, AI can power the development of superior prediction engines that offer cutting-edge analytics and business intelligence to media enterprises globally.
According to Hollywood, we are all just one short step away from living in a world run by computers. Artificial intelligence (AI) is advancing rapidly into territory that was previously in the realm of science fiction. Some see this future as a welcome utopia while others live in fear of life with Terminator- or Matrix-style outcomes. No matter which outcome you believe is most likely, the truth probably lies somewhere in between. You see, the biggest problem with computers is also their greatest advantage – they are programmed by humans.
For a species that would like to see self-driving cars stick to the letter of the law, we humans don't make things easy. We let lane lines fade and stop signs fall down. We fail to mark speed limits and flag pop-up construction sites. For the most part, humans can handle this lack of clarity. For robots, it can be baffling.
Like many parents in the United States, Rob Glaser has been thinking a lot lately about how to keep his kids from getting shot in school. Specifically, he's been thinking of what he can do that doesn't involve getting into a nasty and endless battle over what he calls "the g-word." It's not that Glaser opposes gun control. A steady Democratic donor, Glaser founded the online streaming giant RealNetworks back in the 1990s as a vehicle for broadcasting left-leaning political views. It's just that any conversation about curbing gun rights in America tends to lead more to gridlock and finger-pointing than it does to action.
Facial recognition tech is becoming more sophisticated, with some firms claiming it can even read our emotions and detect suspicious behaviour. But what implications does this have for privacy and civil liberties? Facial recognition tech has been around for decades, but it has been progressing in leaps and bounds in recent years due to advances in computing vision and artificial intelligence (AI), tech experts say. It is now being used to identify people at borders, unlock smart phones, spot criminals, and authenticate banking transactions. But some tech firms are claiming it can also assess our emotional state.