By teaching computers to see images one Texas software company thinks it can stop blackmail and bullying—and maybe even upend the online advertising…
Showing 105 posts tagged future
We Need to Design Parking Garages With a Car-less Future in Mind (via theatlanticcities)
The power of Wolfram Alpha — the intelligent search engine that can answer natural language questions and solve complex math problems — is being built into an upcoming programming language that its founder, Stephen Wolfram, says will be incredibly easy to use. The language, Wolfram writes, is “a way to go from an idea to a fully deployed realization in an absurdly short time.” It’s called Wolfram Language, and it’s an evolution of what’s been used inside of his company Wolfram’s popular Mathematica software for over 25 years now.
Google’s Lie-Detecting Neck Tat
Google patented a neck tattoo that can function both as a mobile-device microphone and a lie detector.
According to the patent document, we need this quirky invention because it could “reasonably improve” communication; the throat tattoo could dampen “acoustic noise” — which would make it easier to communicate in loud environments.
The lie detector or “galvanic skin response detector,” would assess the amount of sweat or “skin resistance” a person has, which would allow the tattoo to determine if he or she is “nervous or engaging in speaking falsehoods.” When the person is lying, their tattoo will light up to let everyone in the room know.
1) This is just a patent. Patents rarely become products. Most are worthless. Etc.
2) Though it is called a tattoo, the device is really more of a sticker applied with an adhesive.
2a) Which is a good thing because everyone hates an obsolescent tattoo (see: tribal bands, frat letters, ex-spouses).
3) Other researchers are working on similar “tattoos,” but for different applications, mostly biomedical sensors.
4) It’s not just for humans! “Here it is contemplated that the electronic tattoo can also be applied to an animal as well. Audio circuitry can also include a microphone for emitting sound corresponding to fluctuations of muscle or tissue in the throat.”
Image: The Atlantic
Two new startups could help bring individual customization to the mass production of meals with 3D printed food.
Joshua Rothman talks with Tyler Cowen, an economist at George Mason University, about his new book, Average Is Over:
Rothman: You believe that, in the future, the most well-compensated workers will be something like freestyle chess players.
Cowen: Think in terms of this future middle-class job: You read medical scans, and you work alongside a computer. The computer does most of the judging, but there are some special or unusual scans where you say, “Hmm, that’s not quite right—I need a doctor to look at this again and study it more carefully.” You’ll need to know something about medicine, but it won’t be the same as being a doctor. You’ll need to know something about how these programs work, but it won’t be the same as being a programmer. You’ll need to be really good at judging, and being dispassionate, and you’ll have to have a sense of what computers can and cannot do. It’s about working with the machine: knowing when to hold back, when to intervene.
I don’t agree with everything Cowen brings up, but this strikes me as inevitable for our workforce.
The United States faces a staggering demographic challenge over the next two decades. Every state in the union faces this problem, and some have it harder than others. Florida faces one of the larger challenges in that the population of both young and old will be vastly increasing at the same time. This challenge will require fundamental rethinking of the social welfare state, including but not limited to K-12, higher education, pensions and health care.
image via flickr:CC | stev.ie
You don’t need an infographic to tell you that your students (and probably most of your friends, colleagues, and family members) have their nose pointed towards a screen more often than not. While I’m definitely not above chastising my dinner mates for getting too cosy with their phone instead of interacting with everyone at the table, I wouldn’t necessarily transfer that same open shaming technique to a classroom. Studies show that so much of our daily media interactions are screen based – 90%, in fact. So while your inclination may be to have students focusing on one thing at a time to make sure they’re getting all they need to out of an activity, maybe you should think again.
Desire2Learn has announced its latest grab: Knowillage Systems, Inc. Knowillage makes LeaP, an artificial intelligence that can sit on top of a learning management system. LeaP tracks individual K-12 grade student’s performance through online assignments and quizzes, and grows smarter with everything it sees. It then tailors the student’s lessons to them, offering different types of readings or practice problems if the student is struggling.
Basically, it’s a robot teacher, albeit one that operates through a computer.
“When I went to school I didn’t get any attention from the teacher,” Desire2Learn’s VP of Marketing Jeff McDowell says. “The teacher helped the top three best students and the bottom three students. I was a solid B student and I never got any attention from the teacher because I was right in the middle.” Desire2Learn believes that LeaP solves this problem.
image via flickr:CC | ocularinvasion
New teaching strategies combined with technology are changing how schools help kids learn.
Many of the predictions in this year’s report match those made for higher education too: mobile learning, open content, cloud computing, and yes — 3D printers.