Softmax Splatting for Video Frame Interpolation
In this paper, the author presents softmax splatting for differentiable forward warping and demonstrated its effectiveness on the application of frame interpolation....
DeepMind introduces a new machine learning model to improve Google Maps
If you are one of those who start their journey by setting the route on Google Maps, Google brings you a better...
CogMol: Framework developed by IBM based on deep learning to accelerate therapeutic developments for...
The global novel Coronavirus (COVID-19) pandemic is rapidly evolving and expanding. There is still a lot of news coverage about community spread every...
UC Berkeley Researchers Open-Source ‘RAD’ To Improve Any Reinforcement Learning Algorithm
In Reinforcement Learning (RL), it has always been challenging to learn from visual observations, which is a fundamental yet challenging problem. Despite...
Google AI introduces TF-Coder, a program synthesis tool that helps you write TensorFlow code
Manipulating tensors is not an easy task as it requires a lot of prerequisites, such as keeping track of multiple dimensions, Dtype...
ProteanTecs, which provides an AI platform to monitor chip reliability, raises $45 million
ProteanTecs, an Israel based leading developer of in-depth data solutions for electronics’ health and monitoring using Artificial Intelligence, closed a $45 M...
DeepMind releases Acme: A library of reinforcement learning components and agents
DeepMind has recently released Acme, a library with an objective to simplify the development of reinforcement learning algorithms and agent building blocks. This application can...
Understanding the perception of COVID-19 policies by Multi-language Tweets Dataset
The goal of this project is to explore popular discourse about the COVID-19 pandemic and policies implemented to manage it. The author...
Hummingbird: A library for compiling trained traditional machine learning models into tensor computations
This is really a cool work out of Microsoft research called hummingbird. You can convert traditional machine learning models to tensor computations...
PyRetri: An Open-Source Deep Learning Based Unsupervised Image Retrieval Library Built on PyTorch
Content-based image retrieval (CBIR) uses a representation of visual content to identify relevant images, and it is one of the fundamental research...
