| If you're interested in this stuff and wanna try it yourself, check out our product, Edge Impulse: https://edgeimpulse.com/ai-practitioners We work directly with vendors to perform low level optimization of deep learning, computer vision, and DSP workloads for dozens of architectures of microcontrollers and CPUs, plus exotic accelerators (neuromorphic compute!) and edge GPUs. This includes ESP32: https://docs.edgeimpulse.com/docs/edge-ai-hardware/mcu/espre... You can upload a TensorFlow, PyTorch, or JAX model and receive an optimized C++ library direct from your notebook in a couple lines of Python. It's honestly pretty amazing. And we also have a full Studio for training models, including architectures we've designed specifically to run well on various embedded hardware, plus hardware-aware hyperparameter optimization that will find the best model to fit your target device (in terms of latency and memory use). |