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crowdHEDGE: using AI to help governments and local authorities keep citizens safe
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crowdHEDGE: using AI to help governments and local authorities keep citizens safe

How Addfor leverages a Lenovo ThinkSystem SE350 server, powered by NVIDIA® T4 Tensor Core GPUs, to collect, process, and analyze drone video footage at the edge to help strengthen COVID-19 public health measures.

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Preventing Fatalities by playing Video Games
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Preventing Fatalities by playing Video Games

Full self-driving is not yet a reality. To make it ready and safe, we need a huge number of images captured during the drive. Moreover, each video frame requires about an hour of human work to be labeled. The data collection process can be solved using a simulator to produce synthetic labeled data.

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Video Understanding: Fighting Scenes Recognition
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Video Understanding: Fighting Scenes Recognition

In today’s society, videos thrive along with the risk of spreading violent content. Preventing this risk through automated software is becoming increasingly crucial to reduce human efforts. This research offers a video-level solution for detecting scenes of violence in videos.

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The Convolutional Neural Networks Point of View over Images Datasets: a Statistical Study using the Maximum Mean Discrepancy
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The Convolutional Neural Networks Point of View over Images Datasets: a Statistical Study using the Maximum Mean Discrepancy

Computer Vision is an interdisciplinary field born in the late 1960s, whose purpose is to reproduce human visual systems through methods of acquiring, processing, analyzing, and understanding digital images.

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An Exploratory Study Into Capsule Networks And How To Make Them Deeper
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An Exploratory Study Into Capsule Networks And How To Make Them Deeper

In the last few years, deep learning models have achieved outstanding results in various number of tasks such as object recognition and machine translation.

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CapsuleNetworks As Alternative To DCNN
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CapsuleNetworks As Alternative To DCNN

Convolutional Neural Network gained lots of success in 2012 thanks to AlexNet, a Neural Network capable of excellent performance on the ImageNet dataset. Since then numerous variants of CNNs have been developed, pushing the limits of the architecture for image classification.

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Reinforcement Learning Algorithms: Applications to Energy Saving and Autonomous Driving
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Reinforcement Learning Algorithms: Applications to Energy Saving and Autonomous Driving

This thesis delves into the recent developments of reinforcement learning methods, with a particular focus on industrial applications.

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NVIDIA DGX-1 Supercomputer: Join Our Community-Based Deep Learning Benchmark
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NVIDIA DGX-1 Supercomputer: Join Our Community-Based Deep Learning Benchmark

In the next few days we hope to gather comments and suggestions from the Deep Learning community on how to best benchmark NVIDIA’s DGX-1 for training DL architectures.

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Deep Learning Frameworks Explained
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Deep Learning Frameworks Explained

The Deep Learning space is exploding with frameworks right now it’s like every single week some major tech company decides to open source their own deep learning library. In this blogpost we would like to give a partial overview of the most common and most performant deep learning frameworks available at the moment.

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