Tucker Attention: Efficient Generalized Approximate Mechanism
Discover Tucker Attention, a parameter-efficient generalization of approximate attention methods, enhancing performance in LLMs and vision transformers.
Hybrid RL and LLM Framework for Advanced Robotic Manipulation
Discover a hybrid framework combining Reinforcement Learning and Large Language Models to boost robotic manipulation efficiency and adaptability.
Secure AI Agents: Defenses Against Indirect Prompt Attacks
Explore system-level defenses to protect AI agents from indirect prompt injection attacks and enhance their security and resilience.
AI-Driven Workflow for Scalable Detector Design Optimization
Optimize detector design with AI-assisted workflows using PanDA and distributed computing for scalable, efficient multi-objective optimization.
Phyelds: Python Framework for Aggregate Computing & ML
Discover Phyelds, a Pythonic framework for aggregate computing that integrates with machine learning for sensor networks, robotics, and federated learning.