Graiphic demonstrates DeepMX running a Mixture-of-Experts reinforcement learning agent in LabVIEW, with a trained router selecting specialist policies for each opponent.
Focus keyphrase: DeepMX mixture of experts LabVIEW
DeepMX
AI
AI Development
AI integration
AI Tools
Artificial Intelligence
Automation
Computer Vision
cuda
Deep Learning
Edge AI
Embedded Systems
Generative AI
GPU Computation
graiphic
Graph Computing
graphical programming
HAIBAL
HAIBAL 2.0
HAIBAL Replacement
industrial AI
Intel
Keras
LabVIEW
LabVIEW Toolkits
Language Models
Machine Learning
National Instruments
NI
ONNX
ONNX Runtime
PERRINE Replacement
PyTorch
reinforcement learning
release note
release notes
Robotics Module
SOTA
TensorFlow
Test and Measurement
TIGR
TIGR Replacement
Tool
Toolkit
Visual Programming
Xilinx
DeepMX for LabVIEW: Making AI Model Execution as Natural as a Driver
What if running an AI model in LabVIEW felt as natural as using a driver? DeepMX is Graiphic’s new execution layer for AI models in LabVIEW, designed to make hardware-optimized inference simple, accessible, and industrial-ready. And this is only the beginning of a much larger stack.