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This AI vision startup, Recogni, has its sights set on enabling fully autonomous vehicles

With a mission to design a novel vision-oriented artificial intelligence platform, this Silicon Valley-based startup, Recogni, is the only solution on the...

Google AI Team Open Sources BiT – Big Transfer: General Visual Representation Learning (Computer...

Google AI team recently open-source BiT (Big Transfer) for general visual representation learning. Current computer vision training generally involves a pre-trained model...

BindsNET: An Open-Source Library Used For Simulating Spiking Neural Networks (SNNs) On CPUs Or...

If you are a computer scientist specialized in bioinformatics and computational biology and looking for a Python framework for simulating spiking neural...

Introducing HANet: An Add-On Module For Urban-Scene Segmentation

HANet (height-driven attention networks) is an add-on module introduced by this research group via a paper to exploit the intrinsic features of...

Horovod: Uber’s Open Source Distributed Deep Learning Framework

'Horovod' is an open-source distributed deep learning framework created by Uber's AI team. This framework is used for applications in TensorFlow, Keras,...

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...

MindSpore: An Open-Source Deep Learning Training Framework For Mobile, Edge And Cloud Scenarios

Huawei Technologies Co. Ltd. recently open-sourced 'Mindspore', a framework for artificial intelligence-based application development. This lightweight framework is ready to give competition...

AutoViz: A New Tool For Automated Visualization in Data Science

If you are looking for a tool that can perform automated visualization, AutoViz could be good one to try. It performs automatic...

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...

OpenAI releases Jukebox, a machine learning framework that generates music

OpenAI recently launched Jukebox, a model that generates music with singing in the raw audio domain. As a generative model for music,...
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