It's not surprising that the public's imagination has been ignited by Artificial Intelligence since the term was first coined in 1955. In the ensuing 60 years, we have been alternately captivated by its promise, wary of its potential for abuse and frustrated by its slow development.

Google Crowdsource lets you help the company with language translation, handwriting recognition and map translation accuracy. Google has a formidable artificial intelligence team working on everything from photo recognition to email spam filtering. The online giant on Monday released a new Android app called Crowdsource that lets you contribute your own suggestions to language translation, handwriting recognition and street sign transcription. "Each microtask takes no more than five to 10 seconds, so knock away a few the next time you find yourself with a few moments to kill," Google suggests in the app description. "Every time you use it, you know that you've made the internet a better place for your community."

Earlier this summer, humans submitted their selfies and computer scientists submitted their algorithms to be competitors and judges in the first beauty contest judged by artificial intelligence. The six AI judges were trained to evaluate wrinkles, face symmetry, skin color and several other parameters before choosing men and women winners in various age groups ranging from 18 to 69. The photos, which people submitted through an app, had to show the person free of makeup, facial hair and sunglasses (with a facial hair exception being made for those 65 and older). A total of 60,000 people submitted their selfies, and the winners have been chosen. Alex Zhavoronkov, CSO of Youth Laboratories and CEO of Insilico Medicine, the two companies behind Beauty.AI, said he was surprised by the results.

Mark Zuckerberg, shown here meeting with Pope Francis on his vacation in Italy, told a Roman audience that he should be ready to show off his at-home personal assistant in a month. SAN FRANCISCO - Next month, Mark Zuckerberg hopes to offer the world a glimpse at his pet project, a face- and voice-recognition system that allows the Facebook CEO to command his home environment much like the fictional Tony Stark orders around Jarvis in Iron Man. And his wife, Priscilla Chan, might not be thrilled. "I got it to this point where now I can control the lights, I can control the gates, I can control the temperature -- much to the chagrin of my wife, who now cannot control the temperature because it is programmed to only listen to my voice," Zuckerberg told a packed audience in Rome, the CEO's latest town hall Q and A session. The artificial intelligence software powering the system - part of a personal challenge Zuckerberg set for himself earlier in the year - is a by-product of Facebook's strategic mission to improve the social network's ability to better identify faces in photos and videos that are relevant to users.

By teaching computers how to interpret the visual world, multiple listing service photos are starting to unlock a treasure trove of listing data previously thought to be unavailable. While, historically, the amount of bedrooms, bathrooms, and square footage primarily guides searches, these numbers may soon just be a starting point. What if other selection criteria could be the size of the backyard, the quantity of natural light, or the vastness of the view? Recent advancements now make it possible to analyze listing photos, automatically identify hundreds of new features, and provide thousands of additional data points, giving consumers the ability to search at a new and unheard of micro-level. Machine learning is unlocking home search in a way that no pre-2016 homebuyer has ever had.

Everywhere you turn, someone is chattering about deep learning. There's a reason this Artificial Intelligence (AI) offshoot has thought leaders revved up and has spurred so many startups: With the ability to rapidly analyze large amounts of data using networks of virtual neurons, deep learning changes everything. One group that will definitely feel the shock waves is the online marketing community and those heavily-vested in SEO--let's peel back the layers of deep learning to understand exactly why. We can't talk about the impact of deep learning on search and online marketers without talking about what, in fact, deep learning is. I wrote a pretty in-depth explanation in this post: Why Deep Learning (and AI) Will Change Everything but I'll give you the cliff notes version: Deep learning is truly a technology still in its infancy, but so much is on the horizon here, it's really fascinating. Now, onto the main event: What's all this got to do with SEO? Deep learning is poised to revolutionize search.

Sure, I can make the case for how companies like Lockheed and Monsanto will rely on A.I. in the coming years. I already invest in Amazon. I'd want a company AT LEAST AS compelling an investment as Amazon… tough to come across. An analysis of Facebook and Alphabet's Google by research firm Innography shows a surge in AI patent filings that began in 2010. Alphabet currently has more than 3,000 AI patents that are active or pending government approval.

Facebook today named the recipients of 22 servers that Facebook designed specifically for artificial intelligence (A.I.) research. This comes after Facebook's introduction of the giveaway program for academic researchers back in February. University departments in Austria, Belgium, the Czech Republic, France, Germany, Italy, Russia, Switzerland, and the United Kingdom are getting the machines, the designs of which Facebook open-sourced in December. The servers can support as many as eight graphics processing units (GPUs), which are often used to train artificial neural networks (ANNs) with lots of data. After being trained, the ANNs can make inferences on new data.

Intel Corp. signaled it wants a bigger role in artificial intelligence, revealing plans to modify a line of chips to target a fast-growing market turning into a battleground for technology suppliers. The company told technology developers Wednesday that it plans next year to deliver a new version of the Xeon Phi processor--a product line previously targeted at scientific applications--with added features designed to accelerate tasks associated with what Silicon Valley calls artificial intelligence. Intel said the technology will help accelerate a technique called deep learning, increasingly used for tasks such as interpreting speech, identifying objects in photos and piloting autonomous vehicles. Intel's Xeon processors already are a fixture in data centers, and have a role in nearly all deep-learning tasks carried out there. But some users also install auxiliary processors for artificial-intelligence tasks, notably chips called GPUs that rival Nvidia Corp. has long sold for videogames.

Facebook CEO Mark Zuckerberg is living at least a few years out ahead of anyone reading this post – the founding executive told an audience in Rome (via Verge) today that he hopes to demonstrate his home's artificial intelligence system, which controls things like air conditioning, lighting and more based on things like face and voice recognition. Zuckerberg's computerized domestic assistant was his "personal challenge" for this year, an annual goal the CEO sets for himself and makes public. Past challenges have included learning Mandarin, and the more modest goal of reading two books every month, which for someone with Zuck's free time, might actually have been more difficult to achieve than creating a non-destructive HAL 9000 for his sole personal use. Here's why his challenge this year isn't necessarily a personal Waterloo for Zuckerberg: he has the help of "all these Facebook engineers who are doing all this awesome AI work in speech recognition, face recognition," according to the Q&A, which happened live just a few hours ago. What exactly can it do?