Markov Chains : The Strange Math That Predicts Almost Anything

Discover how Markov chains predict real systems, from Ulam and von Neumann’s Monte Carlo to PageRank, so you can grasp ...
GitHub

CodeBambi/Conditioning-Control-Panel

On first launch, you'll see a welcome screen where you can choose how intense you want your experience to be. Don't worry - you can always change settings later!
IEEE

Adaptive Moment Estimation-Based Model Predictive Control for PMSM Motor With Low Tracking Error

Abstract: To address the tracking error issue in finite control set model predictive control (FCS-MPC) systems, this article proposes an online optimization MPC ...
IEEE

Model Reduction and Chattering Mitigation in Multi-Model Predictive Control for Quadrotor UAVs

Abstract: This study introduces a multi-model predictive control (MMPC) framework for quadrotor attitude regulation, combining the high-precision capabilities of nonlinear model predictive control ...
GitHub

LLM router and minimal agent framework in one.

Use any model and build agents in pure Python. Full control. Zero magic. LitAI is an LLM router (OpenAI format) and minimal agent framework. Chat with any model (ChatGPT, Anthropic, etc) in one line ...
VentureBeat

Google releases FunctionGemma: a tiny edge model that can control mobile devices with natural language

While Gemini 3 is still making waves, Google's not taking the foot off the gas in terms of releasing new models. Yesterday, the company released FunctionGemma, a specialized 270-million parameter AI ...
Frontiers

Development and validation of a predictive model for oral mucosal pressure injury risk in ICU patients with endotracheal intubation

Objective: To identify risk factors for oral mucosal pressure injury (OMPI) in intensive care unit (ICU) patients undergoing orotracheal intubation and to develop and validate a risk prediction ...
Frontiers

Development and validation of a predictive model for postoperative delirium after traumatic cervical spinal cord surgery

Objective: This study aimed to develop and validate a nomogram for predicting the risk of postoperative delirium (POD) in patients undergoing surgery for traumatic cervical spinal cord injury (TCSCI).