2 offres trouvées dans Palaiseau

Objective: The goal of this internship is to design and evaluate a new intelligent scheduling strategy using reinforcement learning (RL). The idea is to enable the system to learn how to make smarter scheduling decisions over time, optimizing container placement and sizing, dynamic resource allocation, response time and energy consumption and even inter-container dependencies such as shared data or communication patterns. Your missions: During this internship, you will: Explore and understand the orchestration framework developed within the team. Conduct a state-of-the-art study on RL-based scheduling in cloud and distributed environments. Design, implement, and train a new RL-based scheduler. Develop a feature extraction module to characterize container behavior and guide the RL agent's decisions. Evaluate your approach through experiments and benchmark comparisons

Your missions within this internship are to: - Study state-of-the-art methods of Open Set Object Detection (OSOD) as well as Visual Language Models (VLM) in the context of Open World containing both known and unknown objects; - Design an object detector aware of the existence of the unknown, and able to describe the unknown by comparing it to or distinguishing it from what is known via certain characteristics that can be described textually; - Evaluate the proposed method on recent OSOD benchmarks and compare to the state of the art; - Challenge these methods by applying them to new contexts (e.g. aerial images, medical imaging); - If relevant, submit your contributions to an international conference or workshop for publication. Join CEA List and LVA as an intern to: - Work in one of the most innovative research organizations in the world, addressing societal challenges to build the world of tomorrow - Discover a rich ecosystem: privileged connections between the industrial and...