Solutions TLM : Conseils d’intégration basés sur des tests psychométriques

AtmanCo est une entreprise œuvrant dans le domaine du développement du potentiel humain. Des tests psychométriques sont conçus afin de mesurer le profil psychologique d’un individu. Ces tests sont utilisés en entreprise dans les contextes d’embauche, de gestion d’équipes et de développement des compétences. L’équipe de développement de Solutions TLM, en collaboration avec AtmanCo, travaille […]

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Security and safety intelligent systems on smart spaces: privacy perseveration approach

We are witnessing the rapid development of the Internet of Things (IoT) which provides ubiquitous sensing and computing capabilities to connect a broad range of things to the Internet while connecting people and spaces. That opens a wide range of opportunities to foster user-centered service, improve safety, and well-being. Intelligent IoT-based solutions have been shown […]

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Foundational Models for Drug Discovery

A foundation model (FM) is any model that is trained at scale on a broad dataset and can be adapted (e.g., fine-tuned) to a wide range of downstream tasks; current examples include BERT, CLIP and GPT-3. In this project, we investigate the challenges of building foundational models for drug discovery: capturing multi-modal information, explainability, and […]

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Model-based Reinforcement Learning with Structured Representation

Recent advancements in deep reinforcement learning (RL) have enabled incredible breakthroughs on a wide variety of problems in which computer systems are required to learn through interacting with the environment with no or minimal human intervention. An example of this is DeepMind’s AlphaGo agent, which taught itself to play Go at a superhuman performance. Deep […]

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Modèles neuro-inspirés de la prise de décision collective

Les humains ont une capacité exceptionnelle à collaborer sur une grande variété de tâches. Pour y parvenir, ils doivent être capables de prendre des décisions collectives : décider où se déplacer ensemble, quelle stratégie ils vont utiliser, etc. Actuellement, nous ne savons pas très bien comment nos cerveaux sont capables de se coordonner entre eux […]

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Building a global strategy for ERP software implementation

The research project (internship) will be hosted by The Cansbridge Fellowship, a non-profit organization, regarding ERP software implementation and demand generation. As a consultant intern, I am responsible for customer success for ERP software for small and large businesses and demand generation for ERP software on a global level. These objectives will be achieved through […]

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Optimisation de l’aquaculture multitrophique en milieu tropical par l’intégration de la macroalgue Ulva lactuca dans la moulée du poisson marin Pompano de Floride (Trachinotus carolinus)

Les protéines dans les farines et huiles de poissons représentent l’élément le plus dispendieux des moulées commerciales. Son remplacement par une protéine végétale provenant de macroalgues produites dans les eaux de rejets piscicoles diminuerait les coûts associés à la production aquacole tout en réduisant les impacts environnementaux. Les Ulves, comme Ulva lactuca, ont été largement […]

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Multimodal Procedure Understanding

Procedural content (text and video) is abundant on the internet, and is regularly used in our daily lives, e.g., when we follow a cooking recipe to make a dish, or watch an instructional furniture assembly video. Automatically understanding such content allows for the development of various types of AI assistants, including those that can provide […]

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Monark Leadership Application: Early Product Development and Innovation

Monark is a mobile-first, on-demand, self-led leadership development platform that combines psychology-based learning with a community of practice, empowering leaders to own their growth anywhere, anytime. By integrating timely educational content with learnings and experiences from a network of growth-oriented leaders, Monark prepares high-performers for the challenges of tomorrow. Our holistic training model engages users […]

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Multimodal Representation Learning from raw data to detect customers emotional state in the financial industry with Attention Mechanism

Currently, call centres effort in this matter is largely reactive. Someone calls in, they are upset, and agents respond accordingly. However, this approach is not always most effective, especially with difficult customers. Therefore, knowing the customers current emotional state is very important for appropriate problem solving. Affective computing can be used to detect and evaluate […]

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Synthesis of chelating Bis(NHC)-Phosphinidine ligands

The transformation of renewable feedstocks such as carbon dioxide, is closely linked to homogenous catalysis. In homogenous catalysis transition metal complexes, containing a metal center and a of ligands (modulating the reactivity of these complexes) are key to achieve challenging transformations. This project aims to synthesize unique phosphorus-containing molecules (ligands) that can bind to transition […]

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Capacity Planning and Optimization of WiMAX for Smart Grid

There are many international efforts to modernizing the current aging power grid towards an efficient grid known as “smart grid” (SG). To implement SG, many sensors are attached to different points of the power grid infrastructure. These sensors collect data and can be used for controlling, protecting, and monitoring the status of the grid by […]

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