Google

Learning better simulation methods for partial differential equations

Google engineers recently introduced a method called data-driven discretization for learning optimized approximations to partial differential equations (PDEs) based on actual solutions to the known underlying equations.

Google’s next generation music recognition

In 2017, Google has launched Now Playing using deep neural networks to bring low-power, always-on music recognition to mobile devices. The goal was to create a...

What-If tool: Code-free probing of machine learning models

Google has recently launched a What-if tool as a new feature of the open-source TensorBoard web application, which let users analyze a machine learning model without...

Google Duplex: An AI system to achieve real-world tasks over the phone

Technology plays an important part in altering our lifestyle. Likewise, Human-Computer Interaction has expanded rapidly and steadily for three decades, attracting professionals from many other...

Google introducing the HDR+ Burst Photography Dataset

Burst photography is the key thought hidden the HDR+ software on Google's current cell phones, and a basic computational photography procedure for enhancing picture...