Improving AI by Learning Directly from Human Preferences

Our project aims to improve how AI models learn from human feedback. Current methods assume human preferences can be reduced to a single “reward” value, but research shows this isn’t always true. We will investigate if an AI algorithm can learn from human preferences without relying on rewards. If possible, we’ll design and test algorithms […]

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Interrogation d’un corpus de documents à l’aide de LLM, afin faciliter la prise de décision

La transformation numérique et le développement de l’intelligence artificielle (IA) atteignent la société tout entière. Plus précisément, l’IA est en train de transformer les façons de faire pour de nombreuses professions. Les organisations vont avoir recours de plus en plus aux modèles d’intelligence artificielle pour les aidés dans leurs prises de décisions. Le projet consiste […]

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Farpoint Alaas Platform Development

The AIaaS (AI as a Service) project aims to develop an advanced, scalable platform to host and manage AI models, ensuring high performance and efficiency. This open-source system will leverage the latest AI technologies and distributed computing to deliver fast and reliable AI services. Key features include automated load balancing, dynamic resource allocation, and real-time […]

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Ontology-based Middleware Services Facilitating Access to Data Sources

Many applications often need access to information from multiple independent data sources, including public sources found on the Internet and private sources e.g., hospitals. Software that sits between an application and the data sources, so called “middleware”, can help facilitate this access. However, development of this “middleware” can be very time consuming, is often only […]

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Programme intelligent de classement tarifaire des marchandises

Notre client gère la classification tarifaire des marchandises pour plusieurs clients. Ce processus, actuellement réalisé de manière manuelle, est à la fois complexe et chronophage, nécessitant une expertise spécifique rare et onéreuse. De plus, la nature manuelle de ce processus augmente le risque d’erreurs humaines, pouvant entraîner des conséquences financières importantes. Des erreurs dans la […]

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Reinforcement Learning for Micro-Grid Control and Optimization

This project aims at optimizing the use of energy in micro-grids. Reinforcement learning, a branch of artificial intelligence, will be used to reduce the consumption of fossil fuel by better deciding when to charge or discharge batteries. Using reinforcement learning for this automated decision making problem could be interesting as it should allow to handle […]

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Special Needs Digital Service Development

The project, set to unfold over the summer, involves the integration and development of Artificial Intelligence and database systems into the organization’s current IT infrastructure. This initiative aims to usher the organization into the next technological era. The specific focuses include streamlining data access, improving data flow, and enhancing information retrieval. These efforts are intended […]

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