A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.
Richard C. Mohs, Nigel H. Greig
This paper outlines the drug discovery and development process to help basic scientists frame their research for effective translation to clinical use.
Bozheng Dou, Zailiang Zhu, Ekaterina Merkurjev, et al.
This review summarizes machine learning and deep learning solutions for small data challenges in molecular science, covering both basic and advanced techniques.
Norman P. Jouppi, Cliff Young, Nishant Patil, et al.
Evaluates a custom ASIC (TPU) for neural network inference, showing 15-30x speedup and 30-80x TOPS/Watt over contemporary CPUs and GPUs.
Meetu Jain, Vibha Saihjpal, Narinder Singh, et al.
This paper provides a comprehensive overview of the Particle Swarm Optimization (PSO) algorithm, covering its basic concepts, parameters, and various advances including modifications, extensions, hybridization, and theoretical analysis.
Solveig Badillo, Balázs Bánfai, Fabian Birzele, et al.
This paper introduces foundational machine learning concepts to the pharmacometrics and clinical pharmacology community, bridging basic principles with applications in molecular biology and drug development.