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) …
Facebook debuted a host of new efforts Thursday in its fight against fake news. In a blog post from product manager Tessa Lyons, Facebook announced a series of new partnerships and expansions to its fact-checking endeavors, including fact-checking viral photos and images and the use of machine learning to stop the spread of hoaxes and fake news. The new features it announced are, according to Lyons' blog post: Lyons explained that algorithms detect and flag pages with suspicious or otherwise unsavory behavior--plagiarized text, shady ads, targeting users in other countries, and more. Once a viral news story is debunked, Facebook will use machine learning to flag duplicates of the story--posting a story from multiple sites is a common practice among false information peddlers--identifying it across varying domains and news pages. "Using machine learning we're able to identify and demote duplicates of articles that were rated false by fact-checkers," Lyons said to BuzzFeed.
The U.S. cotton market has remained stable since its spike in 2011, when China executed its cotton reserving and fiber hoarding plan. It is believed that U.S. cotton demand and price were artificially kept low because there are always worries that China would unexpectedly unleash its cotton stockpile, about half of the global storage. However, U.S. cotton price finally showed a revival in recent days. The ICE July cotton futures closed at 95.21 cents a pound on Tuesday, June 12, the highest level for a front-month future contract in the last 6 years. The revival could be attributed to multiple factors, with an emphasis on the worries about insufficient rain in the cotton-growing areas and the newly issued import quotas from China.
A little over a week after the fervor surrounding Google's involvement in the Department of Defense's Project Maven, an autonomous drone program, showed signs of abating, another machine learning controversy returned to the headlines: local law enforcement deploying Amazon's Rekognition, a computer vision service with facial recognition capabilities. In a letter addressed to Amazon CEO Jeff Bezos, 19 groups of shareholders expressed concerns that Rekognition's facial recognition capabilities will be misused in ways that "violate [the] civil and human rights" of "people of color, immigrants, and civil society organizations." And they said that it set the stage for sales of the software to foreign governments and authoritarian regimes. Amazon, for its part, said in a statement that it will "suspend … customer's right to use … services [like Rekognition]" if it determines those services are being "abused." It has so far declined, however, to define the bright-line rules that would trigger a suspension.
Now, if a clerk asks to help you, it probably means you've been acting shady. Artificial intelligence continues to seep into our daily lives, touching up photos, developing snacks, and imitating school girls online. Now, AI has been tasked with tackling a crime as old as retail itself: shoplifting. A recent study by telecom giant NTT found that Japanese businesses lose around 400 billion yen (US$3.7B) annually through five-fingered discounts. No store is immune to this larceny, except perhaps anvil shops, and technology has yet to come up with a strong enough solution to effectively combat it, until now.
On the heels of an Alexa designed for hotel rooms comes one to take on tasks beyond just serving as a kitchen timer or keeper of your shopping list. Echo Look, another member of the Alexa family of artificial intelligence devices, can provide an instant critique of your current attire, using a camera, special lighting and blurring filter for the background so the only thing you'll see is you and your clothing. "Like a trustworthy best friend, Alexa helps you nail your look every time, Linda Ranz, director of Echo Product Management at Amazon, said in a news release earlier this month announcing its availability to all Amazon customers, not just a test market. "With Echo Look, she can give advice on which of two outfits looks best, offer personalized recommendations on items that pair well with clothes you already own, create your personal lookbook, keep your closet organized, and much more." Our journalism takes a lot of time, effort, and hard work to produce.
In today's video, Mark Cuban talks about the importance of AI in entrepreneurship, and why you need to learn the basics of it. SECRET BONUS VIDEO Get a FREE video every morning to help you build your confidence for the next 254 days from mentors like Tony Robbins, Oprah, and Muhammad Ali. His first step into the business world occurred at age 12 when he sold garbage bags. At age 16, Cuban took advantage of a Pittsburgh Post-Gazette strike by running newspapers from Cleveland to Pittsburgh. During college, he had various business ventures, including a bar, disco lessons, and a chain letter.
This piece is part of an ongoing series exploring what it means to be a woman on the internet. When the world realized late last year that you could convincingly superimpose one person's face onto another person's face in a video, it was because men used the "deepfake" technology to force their favorite actresses to appear in their pornography of choice. Of course, they boasted about it on Reddit and 4chan, which prompted a frantic debate about the ethics of using artificial intelligence to swap people's faces -- and identities. In the midst of that controversy, two California lawyers with expertise in digital privacy and domestic violence advocacy found they were equally alarmed by how the technology was poised to destroy the lives of unwitting victims, some of whom they might one day aid or represent in court. Imagine, for example, a survivor of domestic abuse discovering that her partner used deepfake technology to overlay her likeness onto a porn actress's face, and then deployed that counterfeit image or video as a means to control, threaten, and abuse her.
By redirecting focus, wealth managers can successfully respond to challenges brought on by digital disruption, demographic shifts, and tighter regulation. Wealth managers have seen their fair share of ups and downs in recent years, and while challenges remain, advisers can drive business and growth by paying attention to demographic segmentation, how investors are using technology, and changes in regulation. In this episode of the McKinsey Podcast, Simon London first speaks with PriceMetrix chief customer officer Patrick Kennedy and McKinsey partner Jill Zucker about the North American wealth-management industry; he follows that with a discussion with senior partner Joe Ngai, on the industry in China. Simon London: Welcome to the McKinsey Podcast with me, Simon London. Today, we're going to be talking about financial advice and the people who provide it: financial advisers, or as they're sometimes known, wealth managers. Wealth management is a very big business--and also a business facing a number of challenges, such as new technology, changing demographics, and tighter regulation in a lot of countries. A little later, we're going to be getting a perspective on China. But we're going to start here in North America. For the first part of the conversation, I'm joined on the line by Jill Zucker, a McKinsey partner based in New York, and Patrick Kennedy, who's based in Toronto. Pat is chief customer officer for PriceMetrix, which provides data and analytics to the wealth-management industry.
According to Chartbeat analytics, two out of three clicks on native advertising bounces in 15 seconds or less. From Facebook to Outbrain, it costs three times the cost of a click for a content marketer to get any meaningful engagement with their work. According to that same study, users who spend 15 seconds or more on a webpage will read 80% of the content or more. For every $1.50 spent on native advertising, $1.00 of it is wasted. Half the money I spend on advertising is wasted; the trouble is I don't know which half.