Google Puts Souped-Up Neural Networks To Work

holy_calamity writes "A machine learning breakthrough from Google researchers that grabbed headlines this summer is now being put to work improving the company's products. The company revealed in June that it had built neural networks that run on 16,000 processors simultaneously, enough power that they could learn to recognize cats just by watching YouTube. Those neural nets have now made Google's speech recognition for U.S. English 25 percent better, and are set to be used in other products, such as image search."

Second best option.

[Rockoon]

In AI circles, a popular saying is that Neural Networks are always the second best way to solve a problem. Its what you use when you don't want to (or don't know how to) implement a more specific approach.

Re:Second best option.

[jkflying]

Neural networks don't work as well as some specific algorithms for specific problems, but they are great generalists, so you can throw a NN at almost any problem and get at least OK results. Just like humans vs. machines, we have machines that can do things faster than us, more accurate than us, and more reliably than us, but they can't also run around a field and kick a ball and climb a tree and swim.

Re:Face recognition

[RicktheBrick]

How about noise and speech recognition? John lives in a house where speakers and microphones are place throughout the house. John is home alone and computer hears a loud noise. Computer "John are you alright?". Computer hears no response so computer gets John some help or computer hears John say yes and does nothing. John later decides to leave for 2 hours. When leaving the house John says leaving be back in two hours. Computer know house is empty so computer immediately reduces energy use. One hour later computer hears a noise. Computer ask what is the password. Computer hears either no response or incorrect password. Computer calls John on cell phone and lets John listen to noise. John than decides whether or not to call police. Computer hears running water but washing machine is not on so computer turns off water to that room. Computer hears smoke detector and hears the noise from fire so computer calls for help. I can think up a lot more problems a computer could help solve just by listening.