Modernizing Meeting Spaces: How Agentic Control and Intelligent Framing Redefine Hybrid Work

Neat is using agentic AI, intelligent framing, and flexible room modes to turn passive video endpoints into “thinking spaces, ...
IEEE

Sampling-Based Model Predictive Control Leveraging Parallelizable Physics Simulations

Abstract: We present a sampling-based model predictive control method that uses a generic physics simulator as the dynamical model. In particular, we propose a Model Predictive Path Integral ...
IEEE

On the Regret of Model Predictive Control With Imperfect Inputs

Abstract: Implementing model predictive control (MPC) in practice faces many subtle but prevalent problems, including modeling errors, solver errors, and actuator faults. In essence, the real control ...
CNBC

Model routing is a fix for AI overspending. That's a problem for OpenAI and Anthropic

Companies are shifting from running everything on the most powerful AI model to matching each task to the right one, a practice called model routing. The pressure for efficiency comes as large ...
GitHub

NASA-IMPACT/Prithvi-EO-2.0

Prithvi-EO-2.0 is based on the ViT architecture, pretrained using a masked autoencoder (MAE) approach, with two major modifications as shown in the figure below. Second, we considered geolocation ...
GitHub

Model Context Protocol servers

This repository is a collection of reference implementations for the Model Context Protocol (MCP), as well as references to community-built servers and additional resources. Important If you are ...