A search vendor claimed that tuning ranking algorithms would dramatically improve search quality during a recent presentation. This, in the view of the vendor, would transform the accuracy of the results. Luckily, the presentation was over the phone and I was on mute.
Ditch the scrolling TV Guide and get with the Streaming Guide program. The post Got Hulu and Netflix? You Need an App to Search It All appeared first on WIRED.
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.
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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You can search for all the Donald Trump videos, and this will bring up a video when Trump turns up only when someone asks Lady Gaga if she’s a Donald fan.
The post New Tool Analyzes a Video’s Sound for Better Search Results appeared first on WIRED.
Last year, when I reviewed Peloton, a new indoor cycling bike system with on-demand lessons from a live studio, I came to the conclusion that the bike itself could be too expensive for most people. Since then, the company has released an iPad app for users to ride along using their own bikes, and today an update will make it even easier to find the rides you want whenever you want it. The latest version of the Peloton app now allows users to bookmark rides they like, whether it’s one they’ve taken before that they enjoyed or from an instructor…
This story continues at The Next Web
Fuzzy Keyword Search over Encrypted Data in Cloud Computing project is a IEEE 2010 cse project. Get this project for 50% off from 1000projects.org
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