TensorFlow 2.0 to be Released

New major release of the machine learning platform brought a lot of updates and changes, some stuff even got cut
01 October 2019   197

A significant release of the TensorFlow 2.0 machine learning platform is presented, which provides ready-made implementations of various deep machine learning algorithms, a simple programming interface for building models in Python, and a low-level interface for C ++ that allows you to control the construction and execution of computational graphs. The system code is written in C ++ and Python and is distributed under the Apache license.

The platform was originally developed by the Google Brain team and is used in Google services for speech recognition, facial recognition in photographs, determining the similarity of images, filtering spam in Gmail, selecting news in Google News and organizing the translation taking into account the meaning. Distributed machine learning systems can be created on standard equipment, thanks to the built-in support in TensorFlow for spreading computing to multiple CPUs or GPUs.

TensorFlow provides a library of off-the-shelf numerical computation algorithms implemented through data flow graphs. The nodes in such graphs implement mathematical operations or entry / exit points, while the edges of the graph represent multidimensional data arrays (tensors) that flow between the nodes. The nodes can be assigned to computing devices and run asynchronously, simultaneously processing all the suitable tensors at the same time, which allows you to organize the simultaneous operation of nodes in the neural network by analogy with the simultaneous activation of neurons in the brain.

Get more info about the update at official website.

AI to Help to Predict Earthquakes

AI was able to find a pattern in the earthquakes statistcs data that could report on disaster approaching
24 September 2019   159

AI started to prediction earthquakes. Geophysicists trained the algorithm in the laboratory, and recently tested it on a real earthquake. They say that AI is able to predict tremors in a few days, or even earlier.

This is an exciting development. For the first time, I think there’s a moment where we’re really making progress” toward earthquake prediction.

Maarten de Hoop

Seismologist, Rice University

The algorithm was provided with data on what happens in the bowels of the Earth before and during earthquakes. It analyzed combinations of about 80 statistical properties and found patterns that could speak of a new disaster approaching.