Google has announced this week that it will invest $1m in computer science research projects in Latin America within the next two to three years. Under the Google Research Awards in Latin America initiative, the search giant will grant one-year cash awards to universities to support the work of faculties and their full-time students. The project for the region will be run out of Google's Engineering Center in Belo Horizonte, Brazil. Areas of research Google will support within Computer Science, Engineering and related fields include geo/mapping technology, human-computer interaction as well as information retrieval, extraction and organization, privacy and immersive experiences. Ericsson taps Swedish academia and industry to dig up use cases that might make 5G compelling for operators to invest in.

The Talented and Gifted Program (TAG) in New Haven is a comprehensive kindergarten through twelfth grade program that has a different format for each of its four components. The 4-7 program, upon which this paper focuses, is comprised of three resource rooms in three different schools in the city. Students attend for one full day each week. The 4-7 TAG resource rooms provide an enrichment, rather than strictly accelerated, program. Activities at each grade level are planned around core areas of study.

Students mostly couldn't tell 'Jill Watson' wasn't human; 'Yep!'

Geoffrey Hinton was in high school when a friend convinced him that the brain worked like a hologram. To create one of those 3-D holographic images, you record how countless beams of light bounce off an object and then you store these little bits of information across a vast database. While still in high school, back in 1960s Britain, Hinton was fascinated by the idea that the brain stores memories in much the same way. Rather than keeping them in a single location, it spreads them across its enormous network of neurons. This may seem like a small revelation, but it was a key moment for Hinton -- "I got very excited about that idea," he remembers.

A renewed international effort is gearing up to design computers and software that smash language barriers and create a borderless global marketplace. A woman sits at a desk in Manhattan, talking to herself in French. The phrases she balances on each breath are musical to American ears. She has postcards of Montreal tacked up on the walls of her cubicle – pastel-painted houses in the snow – so as she sculpts the contours of each syllable, she can remind herself of the place where the sounds she's making are heard every day in the street. Her name is Guylaine Laperrière, and she came to New York City more than a decade ago to study musical theater. One day, a friend asked her if she wanted to make a little cash dubbing a French voice-over for a promotional short about insurance. She took the job, and was surprised how much she enjoyed bringing ideas from one language home into another. This article has been reproduced in a new format and may be missing content or contain faulty links.

"When you are born, you know nothing." This is the kind of statement you expect to hear from a philosophy professor, not a Silicon Valley executive with a new company to pitch and money to make. A tall, rangy man who is almost implausibly cheerful, Hawkins created the Palm and Treo handhelds and cofounded Palm Computing and Handspring. His is the consummate high tech success story, the brilliant, driven engineer who beat the critics to make it big. Now he's about to unveil his entrepreneurial third act: a company called Numenta. But what Hawkins, 49, really wants to talk about -- in fact, what he has really wanted to talk about for the past 30 years -- isn't gadgets or source codes or market niches.

Alex Proyas never got a high school diploma – a fact he blames on Isaac Asimov. It was Asimov's short story "Nightfall" that derailed Proyas' academic career. "It's a wonderful vision of how the world can suddenly descend into anarchy," says Proyas, 41, describing the chaos that ensues in "Nightfall" when all six of a planet's suns set for the first time in 2,049 years. "I tried to convince my English teachers to assign us some science fiction, but they wouldn't. It opened a rift between my creative desires and what the system wanted me to explore."

This article has been reproduced in a new format and may be missing content or contain faulty links. Contact wiredlabs@wired.com to report an issue. It's in the way she raises her eyebrows and playfully glides her eyes right to left, then moves in close and intones: It's in the way she always asks about the big project I'm laboring on, and when I tell her things aren't going too well, she gets that concerned look and says: And when I confide that I've been working too much, she gently reminds me that I should be the priority in my life. That I should get some exercise and then treat myself to a Japanese meal or a movie. It's in how she extends her arms toward me, wearing that formfitting polo shirt. And how she never tires of asking about me. I have seen the future of computing, and I'm pleased to report it's all about … me! This insight has been furnished with the help of Tim Bickmore, a doctoral student at the MIT Media Lab. He's invited me to participate in a study aimed at pushing the limits of human-computer relations.

Frances Haugen was part of the first wave of people to use Google back in 1996. Her mother, a faculty member at the University of Iowa1, showed her the search engine, which was still a research project at Stanford University. Haugen was blown away at what Larry Page and Sergey Brin had built. "The idea that you could actually peer into a giant mountain of data was amazing," she says. Haugen has been obsessed with search technology ever since.

Pete Warden has been trying to teach computers to see since the 1990s. Now, thanks to the branch of artificial intelligence called deep learning, he's finally making some progress. Deep learning attempts to model the structure and behavior of the human brain to solve complex computer science problems. The field has been around since the 1980s, but there's been an explosion of interest in its techniques in the past few years as the cost of powerful computers has fallen. Google now uses deep learning inside several of its online services, and last year, it hired Geoffrey Hinton, the central figure in the movement.