R&D

Innovating today to transform tomorrow's world

Through cutting-edge research and international collaboration, Torus AI is committed to developing solutions that open up new perspectives and create a lasting impact.

They support us

Our research

Multi-disciplinary expertise at the service of innovation

Our R&D teams are dedicated to developing innovative, impactful AI solutions, combining technical expertise with an understanding of industry challenges.

Dermatology

We have created over 40 AI modules in dermatology, ranging from the detection of thousands of skin diseases to the detailed segmentation and severity assessment of common diseases such as acne, eczema, psoriasis, vitiligo, alopecia areata, etc.

 

Nous comptons parmi nos clients et partenaires de nombreuses entreprises pharmaceutiques, CRO, hôpitaux publics et privés, organisations gouvernementales et ONG à travers le monde, y compris l’OMS (Organisation mondiale de la santé) et le NIH (National Institutes of Health).

AI Platform

Our customers and partners include numerous pharmaceutical companies, CROs, public and private hospitals, governmental organizations and NGOs worldwide, including the WHO (World Health Organization) and the NIH (National Institutes of Health).

Designed to meet the most demanding requirements, it provides a turnkey solution for our in-house projects and for our partners, enabling them to accelerate their AI initiatives while maximizing their impact.

Generative AI

Our expertise in generative AI opens up new perspectives for companies, enabling them to push back the boundaries of innovation and efficiency.

Thanks to advanced technologies such as pre-trained generative models and broadcast models, we help our partners to create customized content, conceive innovative designs, generate realistic simulations and automate complex processes.

Torus Adaptive Filters

Our Adaptive Filters, used by CNES and other partners, guarantee advanced signal processing for sectors such as geology, healthcare or financial markets.

Our publications

Publications and discoveries to transform tomorrow's industries

Torus AI shares its findings with the scientific community through publications in specialist journals.

Catégorie

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Thématique

Type de solution

April 2024
Hang Nguyen, Léa Gazeau, Jonathan Wolfe

Using artificial intelligence to compute Severity of Alopecia Tool (SALT) scores.

Automatica (2023) 111384.

Thématique

Type de solution

2019
Jeffrey Pawlick, Thi Thu Hang Nguyen, Edward Colbert, Quanyan Zhu

Optimal Timing in Dynamic and Robust Attacker Engagement During Advanced Persistent Threats.

WiOpt 2019: 1-8.

Thématique

Type de solution

2023
Le, P.B.; Nguyen, Z.T

ROC Curves, Loss Functions, and Distorted Probabilities in Binary Classification.

Automatica (2023) 111384.

Thématique

Type de solution

2023
Nga Nguyen, Alessandra Cartocci, Hoc Huynh, Loan Tong, Milad Mozafari, Khoi Dang, 
Zung Nguyen

AI-aided automatic severity scoring system for Hidradenitis Suppurativa.

Automatica (2023) 111384.

Thématique

Type de solution

2023
Léa Gazeau, Hang Nguyen

Automatically Measuring Dyspigmentation Severity of the Skin Using a Convolutional Neural Network.

BCB ’23: Proceedings of the 14th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics. September 2023. Article No.: 59. Pages 1.

Thématique

Type de solution

2023
Hon Son Hoang, Remy Baraille, Olivier Talagrand

State estimation in presence of uncertain model error statistics based on filter stability. Application to an adaptive filter..

Automatica (2023) 111384.
Études de cas

Nos solutions aident ces entreprises

Découvrez comment nos solutions d’IA ont permis à des entreprises comme la vôtre de relever leurs défis et de transformer leur activité.

Thématique

Type de solution

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Thématique

Type de solution

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Thématique

Type de solution

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Company

A team of international researchers

Torus AI brings together passionate experts in artificial intelligence, engineering and applied research. Our solutions are designed through global collaboration between researchers, engineers and industry experts.

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