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methodologies, frameworks, and platforms, including neuro-symbolic AI, causal inference, world models, federated learning, multi-agent reinforcement learning, and AI platforms for explainable and reproducible
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: Advancing machine unlearning, privacy-preserving techniques, and robust data curation. AI Safety: Ensuring robust alignment and safety in multi-agent LLM systems Efficiency: Streamlining large-scale model
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include but are not limited to: AI-driven design workflows; machine learning and generative AI models; AI-based performance evaluation and simulation; agentic and multi-agent AI systems; human-AI
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multi-institution research agenda addressing competition in digital markets, with a focus on algorithmic pricing, consumer decision-support systems, and transparency issues arising from advanced digital
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to Search Applications Development Programmer Analyst I (Multiple Positions) (Temporary) Posting Number req27328 Department Global Health Institute Department Website Link https
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robotics. Specific application areas of focus are long-term autonomous missions in large and uncertain environments, semantic mission planning with foundation models, agentic task decomposition and event
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Chair and Institute of Man-Machine Interaction | Aachen, Nordrhein Westfalen | Germany | 3 months ago
context The development of sophisticated agentic AI systems (LLMs, RAG, tool use/MCP, multi-agent orchestration), not merely prototypical demonstrators Access to state-of-the-art research infrastructure, in
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The project will develop multi-agent
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and domain-specific language models, question answering, conversational agents, automated answer scoring, feedback generation. Participate in experimental evaluation of developed technologies. Identify
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 14 hours ago
, distributed and decentralized decision making, multi-agent learning and coordination, safe and resilient control, and networked robotics. Committed to excellence in teaching at the undergraduate and graduate