Generate code optimized for Infineon AURIX TC4x Microcontrollers

Pretrained DarkNet-19 network model for image classification

Incorporate pre-trained TensorFlow Lite (TFLite) models into MATLAB and Simulink applications for simulation and deployment to hardware.

Control Ryze Tello drones from MATLAB and acquire sensor and image data

Pretrained NasNet-Mobile network model for image classification

Pretrained DarkNet-53 network model for image classification

Customize scenes in Unreal® Editor for co-simulation with Simulink®.

Design, analyze, and prototype for Embedded Linux devices

Acquire video and images from Teledyne DALSA Sapera cameras.

Pretrained BERT-Base Network for MATLAB

The "Model Risk Manager for MATLAB" add-on is designed to help users manage, assess, and mitigate risks associated with financial models

Design, analyze, and prototype for Intel SoC and FPGA devices

Generate testbenches for ASIC and advanced FPGA designs

Create driving scenarios using imported road data from Zenrin Japan Map API 3.0 (Itsumo NAVI API 3.0).

Import OpenCV functions into Simulink.

Use NI-845x I2C/SPI devices to connect to your chips, circuit boards, sensors.

Pretrained all-MiniLM-L6-v2 Network for MATLAB

Debug and test HDL code on Microchip FPGAs using FPGA-in-the-loop