Speak to me: How voice commerce is revolutionizing commerce

September 8, 2019

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We’ve seen profound advances in technology, especially with the development of artificial intelligence and deep learning which are increasingly for voice assistants. This, in turn, promises to bring about huge changes in consumer behavior — what’s being called “voice commerce”. This is a new channel, governed by a new set of rules.

Here, communication is key. These shopping assistants use AI and are changing the rules of the game when it comes to customers’ purchasing behavior; they can even make purchasing decisions for the customer if desired.

Source: thoughtworks.com

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Introducing EvoGrad: A Lightweight Library for Gradient-Based Evolution

Tools that enable fast and flexible experimentation democratize and accelerate machine learning research. Take for example the development of libraries for automatic differentiation, such as Theano, Caffe, TensorFlow, and PyTorch: these libraries have been instrumental in catalyzing machine learning research, enabling gradient descent training without the tedious work of hand-computing derivatives. In these frameworks, it’s simple to experiment by adjusting the size and depth of a neural network, by changing the error function that is to be optimized, and even by inventing new architectural elements, like layers and activation functions–all without having to worry about how to derive the resulting gradient of improvement.

Speak to me: How voice commerce is revolutionizing commerce

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