Optimizing RNA design with AI and an Ising machine: Encoding matters

RNA has emerged as one of the most promising molecules in modern medicine, enabling advances from mRNA vaccines and gene ...
Major League Baseball

Player Empirical Comparison and Optimization Test Algorithm (PECOTA)

Also a "backronym" for former Major Leaguer Bill Pecota, PECOTA is Baseball Prospectus' system for projecting player performance. The acronym stands for "Player Empirical Comparison and Optimization ...
Tech Xplore

Researchers discover a smarter way to solve vehicle routing problems using adaptive swarm learning

Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...
IEEE

Mirror Descent Safe Policy Optimization for Reinforcement Learning Agents

Abstract: Embodied intelligence and related disciplines have identified several mechanisms that help embodied agents learn how to solve complex problems. Reinforcement learning (RL) is one of the most ...
NERDBOT

AI Model Selection: A Complete Guide to Choosing the Right AI Model for Your Business

Artificial Intelligence (AI) is transforming industries by automating processes, improving decision-making, and enhancing ...
GitHub

MIJUMBO/Bayesian_optimization_case_study

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...
Journal of Medical Internet Research

Automatic Grading of Stroke Symptoms for Rapid Assessment Using Optimized Machine Learning and 4-Limb Kinematics: Clinical Validation Study

The optimized algorithms performed a 5-fold cross-validation and were searched by Bayes optimization in 30 trials. The trained model was tested with the 60 original hold-out instances for performance ...
GitHub

Xnhyacinth/Awesome-LLM-Long-Context-Modeling

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...