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

Google Brain team prepares for machine-learning-driven future – SD Times

The Google Brain team took a step back to detail its advancements in the machine learning community for the 2016 calendar year NLU: Getting computers to understand our language In 2016, the Google Brain team took previous research from a paper called “Sequence to Sequence Learning with Neural Networks,” which demonstrated that the approach could be used for machine translation, [...]

January 16th, 2017|Categories: Science4Data|

50 Useful Machine Learning & Prediction APIs

As the Artificial intelligence & Machine learning based applications evolve, we see numerous mash ups of APIs to experiment with. Get started with this list of selected APIs to explore their capabilities & features in machine learning, prediction, face recognition, image processing, speech recognition etc. Source: 50 Useful Machine Learning & Prediction APIs

January 12th, 2017|Categories: Science4Data|

AI’s Language Problem

Cognitive scientists like MIT’s Tenenbaum theorize that important components of the mind are missing from today’s neural networks, no matter how large those networks might be. Humans have the ability to learn very quickly from a relatively small amount of data and have a built-in ability to model the world in 3-D very efficiently. “Language builds on other abilities that [...]

January 9th, 2017|Categories: Science4Data|
Go to Top