A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.
Nicholas Ekow Thomford, Dimakatso Alice Senthebane, Arielle Rowe, et al.
This review discusses plant-based natural product drug discovery and how innovative technologies like AI, organ-on-chip, and microfluidics play a role in next-generation drug discovery.
Stephen J. Mellor, Marc Balcer, Ivar Jacoboson
This book defines Executable UML, a profile of UML that enables developers to model subject matters at a higher abstraction level for execution and compilation into complete systems.
Priyanka Banerjee, Andreas Philipp Eckert, Anna K. Schrey, et al.
ProTox-II is a freely available webserver that predicts 33 toxicity endpoints using molecular similarity, pharmacophores, fragment propensities, and machine-learning models.
Brian A. Paden, Michal Čáp, Sze Zheng Yong, et al.
Surveys motion planning and control algorithms for self-driving urban vehicles, comparing approaches by mobility model, environment assumptions, and computational requirements.
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An agentic multimodal RAG framework for nuclear regulatory review achieves 69.0% accuracy, outperforming Unified Multimodal RAG by 6.5%.
Nitesh V. Chawla, Paulo Benanti
Proposes a rupture test and RISE AI architecture to bound AI claims to what has been evaluated, distinguishing evidence-bounded deployment from measurement-bounded governance.
Jiaming Zhong, Reza Valiollahi Mehrizi, Mohammad Pirani, et al.
LAMPC combines agent-based MPC with Gaussian process regression to predict unknown agent contributions, improving vehicle tracking and guaranteeing constraint satisfaction.
Kaushalraj Puwar, B. Thangaraju
Adaptive Bridge is a proxy layer that decouples critical ROS 2 subscribers from degraded ones via topic splitting and dynamic rate control, cutting tail latency from 15 s to 1.55 ms.
Shriniket Dixit, Anant Kumar, Kathiravan Srinivasan, et al.
This review explores AI's contributions to improving CRISPR-based genome editing, addressing challenges like off-target effects and delivery, and discussing future research directions.
Tianyu Wu, Shizhu He, Jingping Liu, et al.
This paper provides a concise overview of ChatGPT's history, core techniques, pros and cons, and potential future development, serving as an entry point for understanding the model.
De Jong Yeong, Gustavo Velasco-Hernandez, John M. Barry, et al.
This paper provides an end-to-end review of sensor hardware, calibration, and fusion techniques for object detection in autonomous vehicles, highlighting challenges and future research directions.
Zhouyuan Ma, Yutao Wu, Hanxun Huang, et al.
HarmProfile is a content-centric benchmark dataset of over 80,000 validated harmful artifacts from 23 frontier LLMs, defining model-level risk profiles and revealing that harmfulness and diversity grow with model capability.