Edge AI technology
Scalable, integrated devices optimized for innovating and executing neural network-based applications.
End-to-end solutions for edge AI
Experience fast, secure AI at the edge with our sensing, processing, and control products. Backed by decades of expertise in digital signal processing (DSP), our technology enables powerful algorithms that transform data to solve complex problems for perception, real-time monitoring and control, and audio AI applications.
Why choose TI technology for edge AI applications?
Dedicated edge AI accelerators
Decades of leadership in digital signal processing and investment in neural processing units (NPU) and software to optimize edge computing.
Scalable, real-time performance
Low latency, efficient real-time performance across processors, MCUs, wireless and radar-based devices with integrated hardware accelerators tailored for your needs.
Comprehensive tools for your development
Easy-to-use devices, custom software models and open-source support to train, compile and evaluate your model to deploy at the edge.
Edge AI technologies
Leverage technologies that map to a wide range of AI use cases.
Perception
Applications use perception AI to sense, interpret and respond to the world around them for object detection, depth and motion estimation, gesture detection and more in automotive and industrial applications.
Real-time monitoring & control
Use real-time monitoring and control AI to analyze data collected at specific time intervals to forecast future values, detect anomalies and identify patterns for predictive maintenance.
Audio
Use audio AI to analyze sound to recognize speech, identify music, detect anomalies and enhance audio quality in real-time.
Evaluation and development tools
- Easily get started on your embedded neural network application with TI’s Edge AI Studio - GUI and command line-based tools designed to accelerate the development of edge AI applications on TI MCUs and processors. applications on TI MCUs and processors.
- The tools are built using open-source frameworks and formats such as PyTorch, TensorFlow and ONNX.
- Edge AI Studio includes low-code tools to help engineers new to AI quickly train, optimize, compile, deploy and evaluate models from the TI model zoo. It also includes command line tools giving expert users full control over deploying their models.