Goto

Collaborating Authors

 Media


Learning the Artificial Intelligence

#artificialintelligence

There is a time in our life when we mostly learn. Then over the time we learn less and use our knowledge more. And very often it's not just one-way process but more like a cycle which ends and starts from beginning. For me now is the moment when a new cycle is slowly starting. My professional career is all about mobile. Most of my time I spend coding and making sure that everyone is happy -- engineers with challenging problems to solve, business with fulfilled deadlines, company with more opportunities from research and the most important -- users, satisfied with our product.


Disney can digitally recreate your teeth

Engadget

Digital models of humans can be uncannily accurate these days, but there's at least one area where they fall short: teeth. Unless you're willing to scan the inside of someone's mouth, you aren't going to get a very faithful representation of someone's pearly whites. Disney Research and ETH Zurich, however, have a far easier solution. They've just developed a technique to digitally recreate teeth beyond the gum line using little more than source data and everyday imagery. The team used 86 3D scans to create a model for an "average" set of teeth, and wrote an algorithm that adapts that model based on what it sees in the contours of teeth in photos and videos.


Gift This, Not That: Zvox Accuvoice TV Speaker Vs. An Ear Trumpet

Forbes - Tech

Like it or not, we are all getting older. Part of getting older involves turning up the television for those whispering bits you can't hear. Fair enough, maybe it's just me and hearing damage caused by years of death metal. Maybe you can just yell at your Google Home or Amazon Alexa devices to turn up the volume when the explosions stop and the exposition begins. Or maybe you can just add the Zvox Accuvoice TV speaker to your home theater arsenal.


Machine Learning for Recommender Systems: A Beginner's Guide

#artificialintelligence

How does Amazon recommend products you might be interested in purchasing? OR How does Netflix decide which movies or TV shows you might want to watch? OR How does Facebook or LinkedIn decide who might you want to form a link with? OR How does Udemy decide what courses to market to you? OR How does New York Times decide which news you might be interested in reading? How does Amazon recommend products you might be interested in purchasing?


MusicNet

#artificialintelligence

More broadly, we hope that MusicNet can be a resource for more creative tasks. Automatic music transcription, inferring a musical score from a recording, is a long-standing open problem in the music information retrieval community. Music streaming services traditionally make recommendations based on collaborative filtering and metadata (e.g. Recently, some services have begun to incorporate audio features into their recommendation engines. Features learned from the MusicNet labels might be useful for recommendation.


Artificial intelligence

#artificialintelligence

Chatting with Rose is really good fun โ€“ at least to begin with. She talks about her life in San Francisco, her two chickens and her pet cat. She comes across as funny, quick-witted and interested in what you have to say. But as the conversation proceeds, she turns out to be a rather poor conversationalist. Whenever she can't think of an answer to a question, she tries to change the subject with a question of her own.


Artificial Intelligence: Threat or Opportunity?

#artificialintelligence

'Humans' has returned to our TVs, and brought with it a realisation of the fear that Artificial Intelligence (AI) will one day gain consciousness and run riot. In it we see the'Synths' fighting for their rights, vulnerable in their humanity. But we also see the darker, riskier side in Niska, who distrusts humans but is more volatile in her reactions. We know she has killed, and it's her representation of AI that we really fear. Humans isn't the first to bring this conscious AI danger to life; for me, the most haunting representation is Ex Machina, where (spoiler alert!) Ava successfully manipulates Caleb into falling in love with her and setting her free, then leaves him stranded. That's where the film ends; nobody knows what she goes on to do, and our imaginations run riot.


Creepy life-like sex robots modelled on celebrities could soon allow fans to live out their fantasies

Daily Mail - Science & tech

While many fans may have had sexual fantasies about their favourite celebrity, most would never have had the opportunity to act on them. But robotics could change this, according to one sex robot expert. London-based Dr David Levy, author of'Love and Sex with Robots', has said in the future it will be common to find sex robots modelled on celebrities. Earlier this year a graphic designer created a life-like replica of actress Scarlett Johansson (pictured) which is not a sex robot but winks and giggles when people tell her she's cute. Speaking to the Daily Star Online, Dr Levy said there is a demand for celebrity sex robots.


MIT Researchers' AI Mimicked Brain's Facial Recognition

#artificialintelligence

In OpenAI's Universe, Computers Learn to Use Apps Like Humans Do Stay up-to-date on the topics you care about. We'll send you an email alert whenever a news article matches your alert term. It's free, and you can add new alerts at any time.


Can Big Data Algorithms Tell Better Stories Than Humans? โ€“ Data Science Central

@machinelearnbot

What if the computer algorithms could tell more compelling stories than journalists, writers or business analysts? Well, this is increasingly becoming a reality. A new generation of Big Data tools are being put to automate story telling. The ideas behind this application of analytics were first put to use generating automated news reports, covering sports and financial stories. Take the recent Wimbledon tennis championships as an example.