Abstract: Optimal control of unknown nonlinear systems is challenging due to the absence of the underlying dynamics model. Reinforcement learning (RL) has become an effective framework for such ...

Abstract: Nonlinear model predictive control (NMPC) algorithms have been widely used in autonomous vehicle trajectory tracking, yet their performance is primarily limited by the accuracy of the ...

This tutorial uses SYNTHETIC clinical data by default (USE_SYNTHETIC = True).

Given CpGPT's generative capabilities, we have implemented an analogous version of the chain-of-thought used in NLP tasks but for the reconstruction of methylation patterns. For more information about ...

This Timeline article charts progress in mathematical modelling of cancer over the past 50 years, highlighting the different theoretical approaches that have been used to dissect the disease and the ...

Discover how to create a working model motorcycle using only cardboard and basic materials in this step-by-step tutorial. Learn the entire process, from crafting cardboard wheels and constructing the ...

A week in the life of Wai Lee, manager of the Global Equity Enhanced Income fund at Allspring Global Investments, week ...

Introduction Cigarette smoking continues to exert a major impact on morbidity and mortality. We aim to provide robust ...

在方法学创新方面，孙博士率先将两亲性共聚高分子引入冷冻电镜的膜蛋白研究中，并依托该前沿技术成功解析了替代性复合物三的亚基空间排布与电子传递网络。此外，他利用重组抗体技术成功从脑组织中纯化出关键的神经受体（γ-氨基丁酸受体），并通过冷冻电镜系统阐明了其复杂的组装模式与药理学机制。相关核心成果已在 Nature、PNAS、J. Am. Chem. Soc.、Biochemistry ...

In this tutorial, we build an uncertainty-aware large language model system that not only generates answers but also estimates the confidence in those answers. We implement a three-stage reasoning ...

It’s built around the idea that design should just happen, so you can focus on what you want to say. When you add your text ...