State of AI & ML
Per Moore’s law, our rapidly changing world is undergoing transformations every day, absorbing along the way state of the art AI innovations. Our team shares experiences and insights on how AI and ML change and shape new markets, optimize various industries and our lives.
In this article we make a few notes on early tf to tf2 conversion results and share our impression from TensorFlow Dev Summit 2019. Such features, as tf.function & eager execution, TF Lite GPU delegates, and tensorflow.js updates, which gave us 2.4x inference speed improvement, are introduced
Artificial intelligence is hitting new adoption levels each year, with industries like supply chain management and logistics taking center stage in the AI race.
There are certain problems people encounter while reading, and everyone resolves those problems in a unique way: rereading difficult parts of a text, googling unknown words, writing down details to remember. What if this could be automated?
Without doubts, dynamic pricing algorithms lie at the core of Uber and Lyft market success, especially since they solve a multitude of problems while simultaneously benefiting both the industries and the customers (at least, on paper)
It’s generally believed that Scala is used in the vast array of the enterprise-connected situations as a multitude of prominent companies exploits the functionality of such a programming language.