How deep learning can improve how we conduct scientific research

-

Whether we take it for granted or not, deep learning algorithms have become an inseparable part of our daily lives. Personalized feeds, face and voice recognition, web search, smart speakers, digital assistants, email, and many other applications that we can’t part ways with using deep learning algorithms under the hood. But how effective is deep learning in scientific research, where problems are often much more complex than classifying an image and requirements are much more sensitive than recommending what to buy next? To answer this question, former Google CEO Eric Schmidt and Google AI researcher Maithra Raghu have put together a comprehensive…

This story continues at The Next Web

from The Next Web https://ift.tt/2WaeU9W

Comments

Post a Comment

Popular posts from this blog

Quantum physicists say time travelers don’t have to worry about the butterfly effect

-
Image
What if I told you all your favorite time-travel films and books were actually created by big tech in order to wrest control of the time-travel industry from the proletariat? Think about it. Back to the Future, The Terminator, The Time Machine, all of these stories share a central theme where traveling through time is a dangerous proposition that could destroy the very fabric of our reality. It’s called the butterfly effect. The big idea is that you’d step out of your time travel machine and accidentally step on a bug. Because this bug doesn’t exist… maybe a frog goes… This story continues at The Next Web from The Next Web https://ift.tt/2XfjPI6
Read more