It’s been a rough year for code-embedded objects, from fraud to bankruptcy to connected things just not working.
The post VW’s Cheating Proves We Must Open Up the Internet of Things appeared first on WIRED.
Some people play video games to relax or have fun. Others try to go as fast as humanly possible, spending hours and hours finding tricks and battling against the clock of their favorite games.
All the analytics tools in the world won’t do a company much good if it doesn’t know what data it has to analyze. Tamr offers a free, downloadable tool designed to help tackle that “dark data” problem.
Dark data generally refers to all the information an organization collects, processes and stores but doesn’t use for analytics or other purposes. It’s often unstructured or qualitative data that’s harder to keep track of than numerical data is, and by research firm IDC’s reckoning, it can account for as much as 90 percent of an organization’s information assets.
See Pluto’s mountains and basins in “extended color”
The post NASA’s Highest-Res Photos Yet Show Pluto’s Bizarre Geology appeared first on WIRED.
“IT’S FOR GAMES” has been the oft-quoted cry of VR headset makers and gamers when talking about virtual reality, but the opportunity for movies is unquestionably huge. Today, Oculus VR released a Netflix app for the Gear VR (and eventually Oculus’ own headset.) And it makes watching Netflix in real life seem super lame.
Volkswagen’s emissions cheating scandal is getting worse fast, and the executive board is in full-speed amputation mode.
The post Porsche Boss to Take Over VW as Bloodletting Gets Going 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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