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Edge Device Test and Diagnostic Tool provides the capability to run an Intel provided test suite at the target system.

Real-time Sensor Fusion for Loss Detection allows you to deploy sensor fusion technology for loss detection at self-checkout.

This reference implementation provides an AI-enabled approach to prediction and detection of bearing failure by analyzing vibration data.

Wireless Network Ready Intelligent Traffic Management is designed to detect and track vehicles and pedestrians and estimate a safety metric.

Intelligent Traffic Management is designed to detect and track vehicles and pedestrians and estimate a safety metric.

Automated Checkout

Designed to provide the base components for creating a framework to run a CV-powered Automated Checkout

These project-based workshops contain lecture slides plus multiple labs and exercises designed for new users to learn the basics of FPGAs.

Get advanced instruction in AI design using FPGA devices with the Intel® SDK for OpenCL™ applications.

Driver Management

Driver Management Reference Implementation is designed to detect and track driver behavior and actions to help prevent dangerous situations.

The oneAPI base toolkit uses hardware accelerators; with the Data Parallel C++ compiler, you can target specific hardware for optimization tasks.

This is a Wide & Deep Large Dataset FP32 training model package optimized with TensorFlow* for bare metal.

This is a BERT Large FP32 training model package optimized with TensorFlow* for bare metal.