Virtual reality app lets you meet others in imaginary places

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Next to full body sensor suits, one of the main components missing from virtual reality experiences is the ability to share experiences with others

Now a new app called vTime hopes to bridge that gap by giving users full VR character avatars that can interact with each other in virtual environments in real-time

All you need to engage in a vTime VR chat is a smartphone and the Samsung Gear VR headset or a Google Cardboard device

vTime

Video: YouTube, vTime

The environments shown are fairly simplistic in terms of what we’re used to from some VR experiences, but as a mobile app for virtual meetings, the demonstration video is impressive Read more…

More about Social Networking, Software, Vr, Virtual Reality, and Tech


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Google says its voice search system is now more accurate, especially in noisy places

Google voice search on the web.

If you’ve noticed Google doing a better job of understanding what you say using speech recognition on your smartphone lately, you’re not crazy. Google’s voice search has indeed become more accurate, thanks to advances in artificial intelligence, the tech company announced today.

“Today, we’re happy to announce we built even better neural network acoustic models using Connectionist Temporal Classification (CTC) and sequence discriminative training techniques,” Google Speech Team members Haşim Sak, Andrew Senior, Kanishka Rao, Françoise Beaufays and Johan Schalkwyk wrote in a blog post today. “These models are a special extension of recurrent neural networks (RNNs) that are more accurate, especially in noisy environments, and they are blazingly fast!”

The new models are working in the Google app for iOS and Android, as well as dictation on Android, which works inside of some third-party apps, the team members wrote.

From VentureBeat

Location, location, location — Not using geolocation to reach your mobile customers? Your competitors are. Find out what you’re missing.

Google has reported improvements in voice search not once but twice this year. Clearly the company has been investing in the underlying technology. RNNs are one increasingly popular approach to doing deep learning, a type of artificial intelligence, and Google is widely thought to have a deep bench in deep learning.

But Apple and Microsoft, among others, have also been working to improve their voice recognition capabilities. Meanwhile, Facebook is also doing more in the area, having acquired a speech recognition company, Wit.ai, some months ago.

Speech could become more important as an input to searching the Web in the years to come. Baidu’s Andrew Ng, who is known for his work on the so-called Google Brain, last year predicted that within five years “50 percent of queries will be on speech or images.”

“In addition to requiring much lower computational resources, the new models are more accurate, robust to noise, and faster to respond to voice search queries — so give it a try, and happy (voice) searching!” wrote Sak, Senior, Rao, Beaufays, and Schalkwyk.

Read the full blog post for more detail on how the team managed to get the new performance gains.

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