Revising readme

Signed-off-by: Rob Elliott <[email protected]>

Author: robell

README.md

@@ -1,61 +1,31 @@
 # ML Examples
 
-Source code for machine learning tutorials and examples used in [Arm's ML developer space](https://developer.arm.com/technologies/machine-learning-on-arm/developer-material).
+Machine learning examples covering a number of Arm® technologies, in particular the Arm® Ethos™ NPU, Arm® Cortex®-based platforms, the Arm® Corstone™ reference platforms, and Arm® KleidiAI™.
 
-## Projects and tutorials
-
-### Arm NN Mobilenet on Android
-Deploy a quantized TensorFlowLite MobileNet V2 model on Android using the Arm NN SDK.
-* Tutorial on Arm's developer site(Coming soon)
-* [Source code on GitHub](https://github.com/ARM-software/ML-examples/tree/main/armnn-mobilenet-android/README.md)
-
-### Arm Style Transfer on Android
-Implement a neural style transfer on Android with Arm NN APIs.
-* [Tutorial on Arm's developer site](https://developer.arm.com/solutions/machine-learning-on-arm/developer-material/how-to-guides/implement-a-neural-style-transfer-on-android-with-arm-nn-apis)
-* [Source code on GitHub](https://github.com/ARM-software/ML-examples/tree/main/armnn-style-transfer-android/README.md)
-
-### CMSIS pack based examples for Arm Corstone 300
-CMSIS project showing keyword spotting (KWS) and object detection on Arm® Corstone™-300.
-* Tutorial on Arm's developer site(Coming soon)
-* [Source code on GitHub](https://github.com/ARM-software/ML-examples/tree/main/cmsis-pack-examples/README.md)
-
-### Ethos-U on Corstone 300
-Explore the Arm® Corstone™-300 with Arm® Cortex™-M55 and Arm® Ethos™-U55 NPU.
-
-* Tutorial on Arm's developer site(Coming soon)
-* [Source code on GitHub](https://github.com/ARM-software/ML-examples/tree/main/ethos-u-corstone-300/README.md)
+Source code for machine learning tutorials and examples, see also [Arm's AI/ML developer space](https://developer.arm.com/ai).
 
-### Multi-Gesture Recognition
-Train a convolutional neural network from scratch to recognize multiple gestures in a wide range of conditions with TensorFlow and a Raspberry Pi 4 Model B or Pi 3.
-
-* [Tutorial on Arm's developer site](https://developer.arm.com/technologies/machine-learning-on-arm/developer-material/how-to-guides/teach-your-pi-multi-gesture)
-* [Source code on GitHub](https://github.com/ARM-software/ML-examples/tree/main/multi-gesture-recognition/README.md)
-
-### Fire detection on a Raspberry Pi using PyArmNN
-Deploy a neural network, trained to recognize images that include a fire or flames on a Raspberry Pi, using PyArmNN.
-* [Tutorial on Arm's developer site](https://developer.arm.com/solutions/machine-learning-on-arm/developer-material/how-to-guides/accelerate-ml-inference-on-raspberry-pi-with-pyarmnn)
-* [Source code on GitHub](https://github.com/ARM-software/ML-examples/blob/main/pyarmnn-fire-detection/README.MD)
-
-### Pytorch to Tensorflow
-Deploy a Jupyter notebook that will demonstrate how to convert a model trained in PyTorch to Tensorflow Lite format.
-
-* Tutorial on Arm's developer site(Coming soon)
-* [Source code on GitHub](https://github.com/ARM-software/ML-examples/tree/main/pytorch-to-tflite/README.md)
+## Projects and tutorials
 
-### RNN unrolling for Tf Lite
-Deploy a Jupyter notebook that will demonstrate how to train a Recurrent Neural Network (RNN) in TensorFlow, and then prepare it for exporting to Tensorflow Lite format by unrolling it.
+### CMSIS pack based examples for Corstone-300
+CMSIS project showing keyword spotting (KWS) and object detection on Corstone-300.
+* [Source code on GitHub](cmsis-pack-examples/README.md)
 
-* Tutorial on Arm's developer site(Coming soon)
-* [Source code on GitHub](https://github.com/ARM-software/ML-examples/tree/main/rnn-unrolling-tflite/README.md)
+### Ethos-U NPU on Corstone-300
+Explore the Corstone-300 with Cortex-M55 and Ethos-U55 NPU.
+* [Source code on GitHub](ethos-u-corstone-300/README.md)
 
-### Image recognition on MBED using CMSIS and TFLM
-Deply an image recognition demo on a Discovery STM32F746G board using TensorFlow Lite for Microcontrollers (TFLM) and CMSIS-NN.
+### KleidiAI examples
+Examples showing ways to use the KleidiAI library
+ * [Source code on GitHub](kleidiai-examples/)
 
-* [Tutorial on Arm's developer site](https://developer.arm.com/solutions/machine-learning-on-arm/developer-material/how-to-guides/image-recognition-on-arm-cortex-m-with-cmsis-nn)
-* [Source code on GitHub](https://github.com/ARM-software/ML-examples/tree/main/tflm-cmsisnn-mbed-image-recognition/README.md)
+### Pruning and clustering in Ethos-U
+An example of model compression techniques to significantly reduce bits per weight when using the Ethos family of NPUs.
+ * [Source code on GitHub](pruning-clustering-ethos-u/README.md)
 
-### Yeah, World
-Explore gesture recognition with TensorFlow and transfer learning on the Raspberry Pi 4 Model B, Pi 3 and Pi Zero.
+### PyTorch™ / ExecuTorch™ example of training Conformer
+Training the transformer based network Conformer for speech recognition and exporting to Ethos-U using ExecuTorch.
+ * [Source code on GitHub](pytorch-conformer-train-quantize/README.md)
 
-* [Tutorial on Arm's developer site](https://developer.arm.com/technologies/machine-learning-on-arm/developer-material/how-to-guides/teach-your-raspberry-pi-yeah-world)
-* [Source code on GitHub](https://github.com/ARM-software/ML-examples/tree/main/yeah-world/README.md)
+### RNN unrolling for .tflite format
+Deploy a Jupyter notebook that will demonstrate how to train a Recurrent Neural Network (RNN) in TensorFlow™, and then prepare it for exporting to TensorFlow Lite format by unrolling it.
+* [Source code on GitHub](rnn-unrolling-tflite/README.md)