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 technology has continued to advance, we've seen some pretty impressive strides in artificial intelligence. We have a virtual assistant in our pockets at all times, can integrate home technology into voice activated commands, and have even started to develop robots who can hold actual conversations with humans. While some people see this as a frightening glimpse into a robot-dominated world, others view it as a necessary step into the future. With artificial intelligence on the rise, machine learning is beginning to make AI even more identifiable. While the actual idea of machine learning has been around since the 1950s, it hasn't always played out in beneficial matters.
For the fourth year running, Amazon has a new smart display. The $250 Echo Show 10 has a rotating base that can turn the screen silently to face you whereever you are in a room. Amazon suggests that could be useful for hands-free video calls as you're moving around. The device will support Zoom calls, Skype and Amazon Chime, while Amazon is adding a group calling feature with up to eight people in a video chat. During video calls, the 13 MP camera can automatically pan and zoom to keep you centered in the frame.
With Microsoft Corp.'s $7.5 billion (¥784 billion) purchase of ZeniMax Media Inc., gamers' long-awaited fantasy about a "Netflix for gaming" took a step closer to reality. Microsoft's acquisition of ZeniMax gives it Bethesda Softworks, the popular publishing label behind some of the world's best-selling titles, such as The Elder Scrolls series. Microsoft aims to use that draw, along with other popular Bethesda titles such as Doom and Fallout, to attract subscribers to Xbox Game Pass, its ¥850-a-month library of hundreds of video games for Xbox and personal computers. Microsoft said the service has 15 million subscribers now, up from 10 million in April. Netflix, which has revolutionized the entertainment business, finished the second quarter with almost 193 million subscribers.
I have been on a 30-day challenge to improve my knowledge of Artificial Intelligence (AI), to understand how it works and how it impacts our lives, and this section talks about how not only have we already integrated it in our everyday lives, but in some cases already love it and depend on it. In this fifth section, we tackle "AI in Application." Exploring where AI is prevalent and the data that is being collected already is not surprising but it is humbling how much it has already penetrated our lives and how much we depend on it. Recently, a friend of mine named her baby Sirius. For those that love the Harry Potter books, the immediate connection is to Sirius Black, so of course being a Harry Potter fan I instantly loved it.
Thanks to Covid-19, the mantra for 2020 has got to be "quarantine and chill." Good thing Netflix is here to "entertain people all over the world," as the company's cofounder Reed Hastings explained at this year's WIRED25. Sating the global entertainment palate, though, requires an undying spirit of invention as well as narratives that span both the US and abroad. Netflix's secret, according to Hasting's new book No Rules Rules, is that it values its workers over its work process. It's this employee-centric attitude that allows a startup to maintain a culture of innovation as it grows from, say, a 30-person rent-by-mail DVD provider into the world's largest streaming service, with a film production arm that rivals Hollywood's Big Six.
Mashable's series Algorithms explores the mysterious lines of code that increasingly control our lives -- and our futures. In the digital age, personalized algorithms are our constant companions. We see them, or rather, they decide what we see, more than we see our families. Loathe them or don't know much about them, they're steering your brain -- from your morning "quick glance at Facebook" to your afternoon YouTube break to your evening Netflix to your "quick glance at Facebook" before bed. When algorithms work for us, they're invisible.
Recommender systems are among the most fun and profitable applications of data science in the big data world. Training data (corresponding to the historical search, browse, purchase, and customer feedback patterns of your customers) can be converted into golden opportunities for ROI (i.e., Return On Innovation and Investment). The predictive analytics tools of data science yield a bonanza of mechanisms to engage your customers and enrich their customer experience. What better loyalty program can there be if not the one that offers the customer what they want before they ask (and sometimes, even before they think of it for themselves). Yes, we know of some cases that have gone bad (such as the secretly pregnant teen and the targeted coupons that Target sent to her father), and we recognize that there is a fine line between being intimate with your customers versus being intimidating, but usually people do like to receive offers for great products that they love.
There is nothing more agonizing than starting something on Netflix and realizing 20 minutes in that you aren't interested. In this project, I tried taking matters into my own hands by calculating a probability that I will finish a show given certain show characteristics. Being able to sleep at 2am and roll out of bed at 9am for work hasn't been great for my productivity from an active standpoint. Once upon a time, I actually enjoyed walking 30 minutes to the Caltrain station and back every weekday. The only consolation for my slow descend into complete and utter languidness is how productive I have been pushing through Netflix originals. A combination of having nothing left to watch and deciding to be slightly more productive with my time encouraged me to try my hand at using neural networks to predict what I should watch next.
In the last week, we saw the markets close at another all-time high. They were lifted by Apple which surged on 5.1% to an all-time high on Friday. The S&P 500 ended up at 3,397, a new record closing high, while the Nasdaq NDAQ ended at 11,311, also a record close. Helping markets were the economic updates, with HIS Markit INFO showing US manufacturing activity hitting its highest level in 19 months, while services were at their highest level in 17 months. Also helping was the existing-home sales data for July, which saw a record month-to-month acceleration of 24.7%, and the average selling price for homes setting a new bar at $304,100.
That as a mind-set gets people narrowed. Netflix's core competency in data science enables the personalization of the streaming experience based on user behavior. Netflix classifies and tags content to get a nuanced view of consumer preferences. Netflix has developed over 1,000 tag types that classify content by genre, time period, plot conclusiveness, mood, etc. These tags help to define micro-genres, which, by 2014, had already reached 76,897.