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) …
One of the more interesting artificial intelligence (AI) technologies to gain popularity in retail is computer vision. Computer vision solutions automate the process of collecting digital images and analyzing them at an in-depth level to inform decision-making. Essentially, computer vision allows a machine to "see" things and events, make judgments and react accordingly in the same way a human does. Computer vision is having a profound effect on almost every major industry, with retail no exception. In particular, retailers are finding that computer vision solutions are crucial components of the seamlessly blended digital-physical store experience customers seek.
San Francisco supervisors approved a ban on police using facial recognition technology, making it the first city in the U.S. with such a restriction. SAN FRANCISCO – A routine traffic stop goes dangerously awry when a police officer's body camera uses its built-in facial recognition software to misidentify a motorist as a convicted felon. At best, lawsuits are launched. That imaginary scenario is what some California lawmakers are trying to avoid by supporting Assembly Bill 1215, the Body Camera Accountability Act, which would ban the use of facial recognition software in police body cams – a national first if it passes a Senate vote this summer and is signed by Gov. Gavin Newsom. State law enforcement officials here do not now employ the technology to scan those in the line of sight of officers.
Here are 5 significant artificial intelligence trends to look forward to that will affect myriad industries on an international scale led by giant tech companies that are now investing huge sums in artificial intelligence research. Last year, implementations of AI rose significantly in so many platforms, tools and applications around the world, impacting healthcare, education and other industries as more and more people are opting for e-solutions based on AI and machine learning. Then there's the automotive industry with self-driving cars, the agricultural sector opting for intelligent robots to tackle the sowing as well as insecticide spraying on crops; the list goes on. As tech industry giants, including Google, Facebook and Amazon, invest billions now in AI and machine learning research, let's explore how 2019 is unfolding on this front. Major chip manufacturers including Intel, Nvidia, AMD and ARM aim to produce AI-powered chips to speed up the operations of applications that run on AI.
It's hard to escape the buzz around machine learning. Practically every industry is talking about it. So, what is machine learning? According to Hewlett Packard, "Machine learning refers to the process by which computers develop pattern recognition, or the ability to continuously learn from and make predictions based on data, then make adjustments without being specifically programmed to do so." In other words, it's a way for machines to analyze and act on large volumes of information and continue to learn and improve over time.
According to foreign-policy experts and the defense establishment, the United States is caught in an artificial intelligence arms race with China--one with serious implications for national security. The conventional version of this story suggests that the United States is at a disadvantage because of self-imposed restraints on the collection of data and the privacy of its citizens, while China, an unrestrained surveillance state, is at an advantage. In this vision, the data that China collects will be fed into its systems, leading to more powerful AI with capabilities we can only imagine today. Since Western countries can't or won't reap such a comprehensive harvest of data from their citizens, China will win the AI arms race and dominate the next century. This idea makes for a compelling narrative, especially for those trying to justify surveillance--whether government- or corporate-run.
We've read the stories about how artificial intelligence (AI) and machine learning are transforming the way companies approach marketing. But what if the true game-changer in consumer insights will be driven by our own brainwaves? Although it may sound like science fiction, the technology has been around for several years, and some companies are finding ways to use brain data to drive product development and market research. In fact, neuromarketing--which uses brain research to reveal a consumer's subconscious decision-making processes--has been in use for more than a decade. In 2009, PepsiCo's Cheetos used EEGs from the brain to measure consumer response to a "prank" type ad, and learned its focus group wasn't quite forthcoming with its written responses.
In the previous blog, I discussed Visual Perception and its both biological and computational aspects. This blog is specifically about computational Visual Perception, also known as Computer Vision. Computer vision has been around for more than 50 years, but recently, we see a major resurgence of interest in how machines'see' and how computer vision can be used to build products for consumers and businesses. The key driving factor behind all these is Computer Vision. In the simplest terms, Computer Vision is the discipline under a broad area of Artificial Intelligence which teaches machines to see.
Automated facial recognition poses one of the greatest threats to individual freedom and should be banned from use in public spaces, according to the director of the campaign group Liberty. Martha Spurrier, a human rights lawyer, said the technology had such fundamental problems that, despite police enthusiasm for the equipment, its use on the streets should not be permitted. She said: "I don't think it should ever be used. It is one of, if not the, greatest threats to individual freedom, partly because of the intimacy of the information it takes and hands to the state without your consent, and without even your knowledge, and partly because you don't know what is done with that information." Police in England and Wales have used automated facial recognition (AFR) to scan crowds for suspected criminals in trials in city centres, at music festivals, sports events and elsewhere.
The Barbican's latest exhibition explores the rise of artificial intelligence and the increasingly complex relationship between humans and technology. Visitors to'AI: More than Human' are able to delve into cutting-edge research projects by MIT, DeepMind, IBM and Google, among others, and get a glimpse of not only what is in store for AI, but its roots and its evolution. As Assistant Curator Anna Holsgrove tells Econsultancy: "One of the key messages is that although technology is developing, the desire to create intelligence and give it a physical form is an idea that dates back centuries and crosses cultures." The exhibition delves into everything from ethics to the future of our species, touching on several important themes. But what are the key learnings for marketers?