An AI agent, combined with a model context protocol (MCP), can create more contextual AI systems that can perform a wide ...

This paper presents a learning-based model predictive trajectory planning controller for automated driving in unstructured, dynamic environments with obstacle avoidance. We first address the problem ...

A Python library for creating serverless HTTP handlers for the Model Context Protocol (MCP) using AWS Lambda. This module provides a flexible framework for building MCP HTTP endpoints with pluggable ...

Learn how enterprises evaluate open versus closed AI models to optimize costs, security, and performance across different business use cases.

In this article, we present an implementation of a low-memory footprint model predictive control (MPC)-based controller in programmable logic controllers (PLCs). Automatic code generation of ...