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Primo test su strada urbana nell’area di Torino City Lab
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Primo test su strada urbana nell’area di Torino City Lab

Addfor ha partecipato al test tenutosi a Torino il 14 marzo dove un prototipo sviluppato con Danisi Engineering è stato utilizzato come laboratorio per testare soluzioni di smart mobility nelle strade di Torino aperte al normale traffico.

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crowdHEDGE: Utilizzare l’Intelligenza Artificiale per supportare le autorità nella tutela dei cittadini
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crowdHEDGE: Utilizzare l’Intelligenza Artificiale per supportare le autorità nella tutela dei cittadini

Come Addfor, grazie ad un server Lenovo ThinkSystem SE350, dotato di GPU NVIDIA® T4 Tensor Core, raccogli, elabora e analizza le riprese video dei droni per contrastare la diffusione del virus COVID-19.

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Evitare incidenti giocando ai videogiochi
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Evitare incidenti giocando ai videogiochi

Una guida completamente autonoma non è ancora realtà. Per ottenere un livello di guida che sia autonomia e sicuro, abbiamo bisogno di un enorme numero di immagini catturate durante la guida.

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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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