Robot" Season 3 will not come out until next year, but a few details about the next installment have already been teased by series creator Sam Esmail. During a panel attended by Screen Actors Guild (SAG) voters, Esmail said the theme for the upcoming installment of the critically acclaimed USA Network series is "disintegration," according to Deadline. Esmail added that the show features different stages of Elliot's (Rami Malek) battle with a mental disorder. "The Mr. Robot (Christian Slater) character has to reflect what stage Elliot is in, and how to handle that disorder," Esmail said. "The second season was about the battle." He explained that since Elliot didn't want to have Mr. Robot in his life anymore, this made Mr. Robot extremely agitated. Aside from the next stage in Elliot's battle, fans will also learn what Angela's (Portia Doubleday) real intentions are. In an interview with Entertainment Weekly, Esmail teased: "Has she really been flipped?

Are you familiar with deep learning? Deep learning describes the ability for artificial intelligence (AI) algorithms to learn from our behavior using brain-like structures called neural networks, and it's changing the field of human resources in significant ways. AI programs can predict outcomes based on past experiences fed into the program. Because AI can recognize patterns and analyze data at light speed, it can help HR directors make decisions with greater confidence. From finding and recruiting prospects to streamlining employee assessment processes, machine learning and AI can make it easier for HR executives to do their jobs better--and today's technology is only the beginning.

In December 1964, over a single evening session in Englewood Cliffs, New Jersey, John Coltrane and his quartet recorded the entirety of A Love Supreme. This jazz album is considered Coltrane's masterpiece – the culmination of his spiritual awakening – and sold a million copies. What it represents is all too human: a climb out of addiction, a devotional quest, a paean to God. Five decades later and 50 miles downstate, over 12 hours this April and fuelled by Monster energy drinks in a spare bedroom in Princeton, New Jersey, Ji-Sung Kim wrote an algorithm to teach a computer to teach itself to play jazz. Kim, a 20-year-old Princeton sophomore, was in a rush – he had a quiz the next morning.

It was Assistant, the artificially intelligent digital helper that caters to your every whim and powers your every interaction. Assistant is invisible, in the design-jargon sense. The omnipresent concierge works in the background, predicting your needs, processing your requests, and offering neatly parceled answers to your questions. You never see the cogs behind it, you merely type (or speak) a command and read (or hear) tailored responses served on screen or through a speaker. This requires more than a smartphone, which explains the gadgets Google announced Tuesday.

This is how humans operate. We try something, we judge the result and modify our behavior. What some considered to be science fiction only a few years ago, AI is edging closer to reality as decades of research -- combined with advances in compute power, memory, storage, network connectivity, sensors and the software that unites them all -- is poised to enable new classes of intelligent predictive analytics. These innovations will bring benefits to multiple industries, and to society as a whole in the way we lead our everyday lives. Al is going to change our lives for the better as machines learn, reason, act and adapt -- transforming industries by amplifying human capabilities, automating tedious or dangerous tasks, and solving some of our most challenging societal problems.

Facebook is working on automatically flagging offensive material in live video streams, building on a growing effort to use artificial intelligence to monitor content, said Joaquin Candela, the company's director of applied machine learning. The social media company has been embroiled in a number of content moderation controversies this year, from facing international outcry after removing an iconic Vietnam War photo due to nudity, to allowing the spread of fake news on its site. Facebook has historically relied mostly on users to report offensive posts, which are then checked by Facebook employees against company "community standards." Decisions on especially thorny content issues that might require policy changes are made by top executives at the company. Candela told reporters that Facebook increasingly was using artificial intelligence to find offensive material.

Facebook Inc (FB.O) is working on automatically flagging offensive material in live video streams, building on a growing effort to use artificial intelligence to monitor content, said Joaquin Candela, the company's director of applied machine learning. The social media company has been embroiled in a number of content moderation controversies this year, from facing international outcry after removing an iconic Vietnam War photo due to nudity, to allowing the spread of fake news on its site. Facebook has historically relied mostly on users to report offensive posts, which are then checked by Facebook employees against company "community standards." Decisions on especially thorny content issues that might require policy changes are made by top executives at the company. Candela told reporters that Facebook increasingly was using artificial intelligence to find offensive material.

Haven't I read this before? Academics have used artificial intelligence program to map books content Researchers found each fell into six plot types based on the protagonist'Oedipus', 'Man in a Hole' and'Cinderella' were more popular with readers'Oedipus', 'Man in a Hole' and'Cinderella' were more popular with readers Revealed: Florence Henderson's own family was a far cry from... Simply magic! Harry Potter superfan, 29, spends eight hours... Revealed: Florence Henderson's own family was a far cry from... Simply magic! Harry Potter superfan, 29, spends eight hours... Rags to Riches: Pride and Prejudice; Great Expectations; Charlie and the Chocolate Factory Riches to Rags: King Lear; The Mayor of Casterbridge; Gone With the Wind; The Picture of Dorian Gray Man in a Hole (fall then rise): Robinson Crusoe; The Adventures of Tom Sawyer; The Ugly Duckling Rise Then Fall: Icarus; The Man Who Would be King; Wuthering Heights Cinderella (rise, fall then rise): Oliver Twist; King Solomon's Mines; Ben Hur; A Christmas Carol Oedipus (fall then rise then fall): The Tale of Robin Hood; Bridget Jones's Diary Moment judge gets slapped in the face at 2016 IFBB Diamond Cup Motorcyclist gets revenge when handing back driver's dropped wallet Mob storm police station and lynch suspected paedophile Watch the deadly battle between a squirrel and snake Panic as phone is submerged in WATER during condom challenge Woman who ranted in store also yelled at staff in Coffee shop Woman in high spirits'entertains' Southern Rail train passengers Police: Thief stole $1.6m in GOLD FLAKES from New York City truck Traveller carrying wooden bat in tense stand-off with bailiffs Angry Trump supporter goes on wild'racist' rant inside store 100 special police agents protect suspected paedophile from mob Tom Ford tells'The View' why he won't dress Melania Trump Motorcyclist gets revenge when handing back driver's dropped wallet Police: Thief stole $1.6m in GOLD FLAKES from New York City truck Angry Trump supporter goes on wild'racist' rant inside store Tom Ford tells'The View' why he won't dress Melania Trump Tom Ford refused to dress Melania Trump when asked in the... Doomed Colombia crash plane had been flying for 20 minutes... Woman who launched a'racist tirade' against two black... Detective claims California supermom may have been abducted... EXCLUSIVE: He's baaack! Serial sexter Anthony Weiner is... Get ready for the big freeze!

Are consciousness and emotion essential components for creating music? Johann Sebastian Bach never completed his 18th-century work "The Art of Fugue," but now a computer might do it for him. University of Washington researchers on Wednesday released MusicNet, a large-scale classical music dataset aimed at helping machines understand the basic structure of classical music -- and even predict the next notes in a recording. The publicly available dataset includes 330 classical music recordings, along with more than a million annotated markers, verified by trained musicians, that indicate the timing of each note, the instrument that plays it and the note's position in a composition's metrical structure. "At a high level, we're interested in what makes music appealing to the ears, how we can better understand composition, or the essence of what makes Bach sound like Bach," Sham Kakade, a UW associate professor of computer science, engineering and statistics, said in a statement.

Machine learning is a powerful tool used for a variety of tasks in modern life, from fraud detection and sorting spam in Google, to making movie recommendations on Netflix. Now a team of researchers from the University of Toronto Scarborough have developed a novel approach in using it to determine whether planetary systems are stable or not. "Machine learning offers a powerful way to tackle a problem in astrophysics, and that's predicting whether planetary systems are stable," says Dan Tamayo, lead author of the research and a postdoctoral fellow in the Centre for Planetary Science at U of T Scarborough. Machine learning is a form of artificial intelligence that gives computers the ability to learn without having to be constantly programmed for a specific task. The benefit is that it can teach computers to learn and change when exposed to new data, not to mention it's also very efficient.