Microsoft's new AI training method eliminates bloated system prompts without sacrificing model performance

Microsoft researchers have developed On-Policy Context Distillation (OPCD), a training method that permanently embeds ...

From theory to safety: New model predicts how combustion scenarios unfold

Researchers from Skoltech have published a paper in the journal Physica D: Nonlinear Phenomena presenting an analysis of steady propagating combustion waves—from slow flames to supersonic detonation ...

Xue Li Enhancing Energy Storage Systems Through Battery State-of-Health Estimation and Intelligent Control Strategies

A dual-model battery health assessment framework analyzes real-world voltage data from retired EV batteries in grid storage. Using incremental ...
Dot Physics on MSN

Python physics lesson 13: How two masses interact via a spring

Welcome to Python Physics Lesson 13, where we explore how two masses interact via a spring. In this lesson, we break down the physics of spring-mass systems and demonstrate how to simulate their ...
IEEE

Dynamic Threshold Adjustment-Based Event-Triggered Model Predictive Control for PMSM Motor

Abstract: This article proposes a dynamic threshold adjustment-based event-triggered (ET) strategy with finite control set model predictive control (FCS-MPC) for permanent magnet synchronous motor. A ...
IEEE

Intelligent Navigation and Localization System for Indoor Dynamic Environments via Semantic Dimension Chain Knowledge Base Model

Abstract: This article presents an innovative intelligent navigation and localization system designed for indoor dynamic environments, leveraging the semantic dimension chain knowledge base model (SDC ...