Computer Sciences

Computer vision in the dark using recurrent CNNs

Over the past few years, classical convolutional neural networks (cCNNs) have led to remarkable advances in computer vision. Many of these algorithms can now categorize objects in good quality images with high accuracy.

Machine Learning & AI

Pixel 3: A turn to machine learning for depth estimations

TechSpot says what it thinks about the Pixel 3 and it's not an ad: "Pixel 3 is quite possibly the best camera phone on the market." Tyler Lee in Ubergizmo is in full compliment mode. "There is no doubt that all of Google's ...

Computer Sciences

WaveGlow: A flow-based generative network to synthesize speech

A team of researchers at NVIDIA has recently developed WaveGlow, a flow-based network that can generate high-quality speech from melspectrograms, which are acoustic time-frequency representations of sound. Their method, outlined ...

Automotive

Machine learning to optimize traffic and reduce pollution

Applying artificial intelligence to self-driving cars to smooth traffic, reduce fuel consumption, and improve air quality predictions may sound like the stuff of science fiction, but researchers at the Department of Energy's ...

Computer Sciences

Introducing Neural Image Assessment for judging photos

Surely computer software could not judge pictures the way we do? Attaching numerical scores to technical details is one thing, but don't we view with our hearts as well as our brains?