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Improving quantum computation with classical machine learning

Improving quantum computation with classical machine learning

A new control framework to simultaneously optimize the speed and fidelity of quantum computation against both leakage and stochastic control errors.
solutions of Burger’s equation in different spatial resolutions, as obtianed by standard methods as with our neural net.

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 introduced Translatotron:, an end-to-end speech-to-speech translation model

Google announced its first direct speech-to-speech translation system

What would you feel if you heard yourself speaking another language that you hardly know? Well, it is something that Google wants to make...
On the left, the gripper is holding the brush and there are some objects (yellow cup, blue plastic block) in the background. On the right, the gripper is holding the yellow cup and the brush is in the background. If the left image was the desired outcome, a good reward function should “understand” that the two images above correspond to different objects.

Google teaches robots to recognize objects by interacting with their environment

We, humans, are capable of recognizing our surrounding objects since our early age. This ability to interact with objects in our environments plays a vital role...
Providing gender-specific translations in Google Translate

Providing gender-specific translations in Google Translate

Google Translate is best for translating individual words. It is good when you want to get a quick start translating something. Throughout the years, Google...
Google’s next generation music recognition

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...
The What-If Tool, showing a set of 250 face pictures and their results from a model that detects smiles.

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...
A user asks the Google Assistant for an appointment, which the Assistant then schedules by having Duplex call the business.

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...
Using bursts to improve image quality. HDR+ starts from a burst of full-resolution raw images (left). Depending on conditions, between 2 and 10 images are aligned and merged into an intermediate raw image (middle). This merged image has reduced noise and increased dynamic range, leading to a higher quality final result (right).

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...