We wanted to gather and analyze news content in order to look for similarities and differences in the way two journalists write headlines for their respective news articles and blog posts. Finance: Akin Oyedele of Business Insider, who covers market updates. Celebrity: Carly Ledbetter of the Huffington Post, who mainly writes about celebrities. Finance: Akin Oyedele of Business Insider, who covers market updates. Celebrity: Carly Ledbetter of the Huffington Post, who mainly writes about celebrities.

When the world shifted from desktop to smartphones, one thing didn't change: the existence of a screen on both devices. The screen shrank, but it remained the medium through which we interact with computers. For Google, that meant its core online advertising business -- visible search ads on a webpage -- remained intact and lucrative. Today, Google may be at the beginning of a new shift -- one toward artificially intelligent virtual assistants, in which we use our voice to interact with technology instead of our eyes. The problem with voice assistants is they don't have a screen on which to display ads.

The next time you enter a query into Google's search engine or consult the company's map service for directions to a movie theater, remember that a big brain is working behind the scenes to provide relevant search results and make sure you don't get lost while driving. As Fortune's Roger Parloff wrote, the Google Brain research team has created over 1,000 so-called deep learning projects that have supercharged many of Google's products over the past few years like YouTube, translation, and photos. With deep learning, researchers can feed huge amounts of data into software systems called neural nets that learn to recognize patterns within the vast information faster than humans. In an interview with Fortune, one of Google Brain's co-founders and leaders, Jeff Dean, talks about cutting-edge A.I. research, the challenges involved, and using A.I. in its products. The following has been edited for length and clarity. A lot of human learning comes from unsupervised learning where you're just sort of observing the world around you and understanding how things behave.

I've done it a hundred times. Someone called it "a clown car that drove into a gold mine," and like all clown cars, Twitter makes the passengers get out once in awhile. If I go back, it's because I'm addicted. For an information junkie, that little bubble is hard to resist. But Twitter -- and Facebook, for that matter -- is desperately broken in ways that alienate users, spread hate and endanger us as a species.

The next time you enter a query into Google's search engine or consult the company's map service for directions to a movie theater, remember that a big brain is working behind the scenes to provide relevant search results and make sure you don't get lost while driving. As Fortune's Roger Parloff wrote, the Google Brain research team has created over 1,000 so-called deep learning projects that have supercharged many of Google's products over the past few years like YouTube, translation, and photos. With deep learning, researchers can feed huge amounts of data into software systems called neural nets that learn to recognize patterns within the vast information faster than humans. In an interview with Fortune, one of Google Brain's co-founders and leaders, Jeff Dean, talks about cutting-edge A.I. research, the challenges involved, and using A.I. in its products. The following has been edited for length and clarity. A lot of human learning comes from unsupervised learning where you're just sort of observing the world around you and understanding how things behave.

The thing is, an Israeli company contracted by their government is planning to use exactly this sort of thing for profiling potential criminals, and yes that's mad. As to the correlation, in psychology there is a known cognitive bias called "the horns effect". It describes that a person who has ugly or anger-like features will be considered bad by default, and in at least partial ways treated as such. Being treated more negatively throughout one's life has obvious effects. However, someone can wear the same face for decades without murdering anyone, or wear the same face for decades after redeeming oneself, so all this is is unreliable prejudice. And as I originally pointed out: The issue may easily be due to a biased training set with photos of incarcerated criminals ordered to pose vs normal people asked to pose.

The hottest ticket in tech is an invitation to a banal South Florida business park, indistinguishable on the outside from countless other office buildings that dot America's suburban landscape. Humanoid robots walk down the halls, and green reptilian monsters hang out in the lounge. Cartoon fairies turn the lights on and off. Even the office equipment does the impossible. The high-definition television hanging on the wall seems perfectly normal. Incredibly, it is now levitating in midair. Get as close as you'd like, check it out from different angles.

Google Keep is probably the best Google service that most people don't use. Services like Keep, Evernote and Microsoft OneNote are often called "note-taking apps." They've grown beyond their roots, now offering collaborative workflow, reminders, checklists, geofencing, optical character recognition, voice transcription, sketching and more. A few years ago, I would have recommended Evernote. But over the summer, Evernote took a wrong turn.

However, smartphone AI has gone above and beyond Siri's initial features. Cortana from Windows can let us know the weather and remind us of important dates that are coming up, while Google's personal assistant will integrate with Google Home and Apollo so you have a one-stop assistant for all your personal and business needs. The Yahoo Tech journalists compared Siri vs Cortana, Google Now, and Alexa to find out which voice assistant is better. They found out that Siri (iPhone) and Google Now (Android) are the only assistants that flawlessly handle requests like "Remind me to pick up my dry cleaning when I leave home" or "Remind me to wear red on Valentine's Day". And only Siri executes such spoken instructions as "Make the screen brighter" or "Learn how to pronounce "Jacquee."

Almost two years ago, Lean In and Getty images partnered to address bias in the way women are portrayed in stock photography by creating The Lean In Collection, over 6,000 images portraying women as leaders and/or partners. In March of this year, data from Procter & Gamble's Always Confidence and Puberty Survey revealed that more than half of girls surveyed felt that female emoji are stereotypical, while 75 percent wanted to see girls portrayed more progressively. In July, Google announced that the Unicode Consortium had approved 11 new professional emoji--such as farmer, mechanic and welder--with both female and male options, and in a range of skin tones. They also approved a set of male and female versions of existing emoji. But now it's not only stock photos and emoji that are at issue.