S4D Insights2019-06-21T16:28:36-05:00

Will the Future of AI Learning Depend More on Nature or Nurture? – IEEE Spectrum

The essence of intelligence is the ability to predict, because predicting the future is a very special case of “filling in the blanks” about the state of the world, LeCun says. Common sense enables humans and animals to fill in missing information based on their knowledge of how the world works. That is why human drivers do not need to [...]

October 9th, 2017|Categories: Science4Data|

New Theory Cracks Open the Black Box of Deep Neural Networks | WIRED

Like a brain, a deep neural network has layers of neurons—artificial ones that are figments of computer memory. When a neuron fires, it sends signals to connected neurons in the layer above. During deep learning, connections in the network are strengthened or weakened as needed to make the system better at sending signals from input data—the pixels of a photo [...]

October 9th, 2017|Categories: Science4Data|

The Problem With Sentiment Analysis

information like the most popular words in a conversation or who is influencing it rarely makes it into news reports based on sentiment analysis. And part of the problem with placing tweets in “positive or negative” buckets, as journalists (yours truly included) often ask data analysis firms to do, is that natural language processing is really hard to do without [...]

October 9th, 2017|Categories: Science4Data|
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