A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.
Rafael Gómez‐Bombarelli, Jennifer N. Wei, David Duvenaud, et al.
A deep neural network converts discrete molecular representations to and from a continuous latent space, enabling gradient-based optimization and generation of novel chemical structures.
Unknown
This paper introduces Scientific Machine Learning (SciML) as an interdisciplinary field that synergistically combines physics-based models with data-driven approaches to advance research frontiers.
Scott Thiebes, Sebastian Lins, Ali Sunyaev
Introduces Trustworthy AI (TAI) with five foundational principles and a data-driven research framework for future AI governance.
Unknown
This paper uses an AI-driven approach to conduct a literature review on AI agents, bypassing manual categorization.