Impact de la représentation visuelle des recommandations basée sur l’intelligence artificielle en contexte de prise de décisions d’assortiment

Les tests utilisateurs de nouvelles générations ont recours à des technologies de pointe comme l’occulométrie, l’analyse faciale et de l’activité célébrale et capturent de précieuses informations quant à l’ergonomie et l’usage des interfaces logicielles. Ces pratiques exigent une rigueur et une précision qui obligent les différentes industries à repenser leur méthodologie de développement de produits […]

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Application of Neural Speech Synthesis Techniques to Improve Lyrical Audio Recordings

2012 marked a pivotal milestone in the field of neural networks. The intersection of general purpose computing using Graphics Processing Units (GPUs), labelled big datasets, and very large neural networks (called deep neural networks) enabled a break-through in machine learning that has led to impressive results in many fields and applications, such as self-driving vehicles […]

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Fédération de données par le biais de technologies du Web sémantique

Bassetti offre à ses clients la solution Teexma®, un outil collaboratif permettant de faire la gestion des données techniques des entreprises industrielles. Cet outil permet de structurer, capitaliser et diffuser les données techniques, mais il n’offre pas de fonctions pour faciliter le recoupement de données provenant de sources différentes. Or il s’agit d’un facteur crucial […]

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Image Analysis and Machine Learning for Digital Pathology Images

Histopathology is the study and examination of tissue slides under magnification and is the definitive diagnosis for many diseases including cancer. With the advent of whole-slide scanners and image management software systems, computational pathology tools can be created to measure disease in an efficient and objective manner. This is in contrast to the labourious and […]

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A Context Aware, Lightweight, and Adaptive Authentication and Authorization

With increasing security risks in critical network infrastructures and emerging cloud technologies with shared capabilities, as well as increasing regulatory requirements on privacy, and data protection, there is a growing need for new approaches to manage security and privacy compliance. The main related challenges are (a) context-aware and fine-grained security enabling efficient real-time enforcement of […]

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Machine Learning for Improved Automated Valuation Model (II)

To estimate the market value of a real estate, a computer software program can produce the result by analyzing the location, market conditions, and other characteristics relevant to it. This is known as the “automated valuation model (AVM)”. The previous Mitacs Accelerate project with “Data Nerds” has conducted a series of experiments with the attributes […]

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