A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.
Veronica Salmaso, Stefano Moro
This paper reviews the evolution of structure-based drug discovery from static molecular docking to enhanced molecular dynamics simulations for studying ligand-protein recognition.
Hans J. Briegel, Gemma De las Cuevas
Proposes a learning agent model using simulation-based projection via a random walk through a dynamic network of episodic memory clips, linking reinforcement learning and quantum computation.
Han Gao, Sebastian Kaltenbach, Petros Koumoutsakos
Generative models accelerate high-dimensional system simulations by learning effective dynamics on a lower-dimensional manifold and using diffusion models for reconstruction.
Trevor E. Carlson, Wim Heirman, Stijn Eyerman, et al.
This paper evaluates high-level mechanistic core models, introducing the IW-centric model that balances simulation speed and accuracy for many-core processors.
Rodrigo N. Calheiros, Rajiv Ranjan, Anton Beloglazov, et al.
CloudSim is an extensible simulation toolkit for modeling and evaluating cloud computing resource provisioning policies.
Reza Olfati‐Saber
A theoretical framework for distributed flocking algorithms that achieve collective behavior without leaders, validated through simulations of hundreds of agents.
Xinyi Li, S. Wang, Siqi Zeng, et al.
A comprehensive survey of LLM-based multi-agent systems, proposing a unified five-component workflow framework and reviewing applications in problem-solving and world simulation.
Florian Wiesner, Matthias Wessling, Stephen Baek
A single transformer model trained on diverse simulation data demonstrates foundation model capabilities for physics, generalizing across domains without retraining.
David A Cook, Joshua Overgaard, V Shane Pankratz, et al.
LLM-powered virtual patients can generate authentic clinician-patient dialogues, represent preferences, and provide personalized feedback at low cost.
Hongxin Zhang, Chunru Lin, Junyan Li, et al.
GS-Agent is a multi-agent framework that automates the creation of physically plausible 4D worlds from natural language by integrating physics engines and emulating human workflows.
Zhongyuan Peng, Dan Huang, Chuyu Zhang, et al.
ICAE-Bench evaluates coding agents on interactive project-building from fuzzy requirements using automated user simulation and multi-dimensional diagnostics.
Unknown
A theoretical simulation-based framework for evaluating user-facing risk in tool-using AI agents, addressing injection and authority misuse.