Watch a Human Mind-Control a Cyborg Mouse

Expressive Speech Synthesis with Tacotron

At Google, we’re excited about the recent rapid progress of neural network-based text-to-speech (TTS) research. In particular, end-to-end architectures, such as the Tacotron systems we announced last year, can both simplify voice building pipelines and produce natural-sounding speech. This will help us build better human-computer interfaces, like conversational assistants, audiobook narration, news readers, or voice design software.

Interpretable Machine Learning: A Guide for Making Black Box Models Explainable

Teaching machines to spot essential information in physical systems

Two physicists at ETH Zurich and the Hebrew University of Jerusalem have developed a novel machine-learning algorithm that analyses large data sets describing a physical system and extract from them the essential information needed to understand the underlying physics.