Linking pages
Linked pages
- GitHub - filipsPL/cat-localizer: Localize your cat at home with BLE beacon, ESP32s, and Machine Learning https://github.com/filipsPL/cat-localizer 170 comments
- 6.5940 https://efficientml.ai/ 46 comments
- A natively flexible 32-bit Arm microprocessor | Nature https://www.nature.com/articles/s41586-021-03625-w 17 comments
- [2009.06489] The Hardware Lottery https://arxiv.org/abs/2009.06489 16 comments
- GitHub - DT42/BerryNet: Deep learning gateway on Raspberry Pi and other edge devices https://github.com/DT42/BerryNet 12 comments
- [2107.07467] Only Train Once: A One-Shot Neural Network Training And Pruning Framework https://arxiv.org/abs/2107.07467 11 comments
- AI can now train on tiny 4-bit computers | MIT Technology Review https://www.technologyreview.com/2020/12/11/1014102/ai-trains-on-4-bit-computers/ 5 comments
- [2106.08962] Efficient Deep Learning: A Survey on Making Deep Learning Models Smaller, Faster, and Better https://arxiv.org/abs/2106.08962 5 comments
- Learning to Seek - YouTube https://www.youtube.com/watch?v=wmVKbX7MOnU 3 comments
- GitHub - lf-edge/eve: EVE is Edge Virtualization Engine https://github.com/lf-edge/eve 3 comments
- [2110.04252] LCS: Learning Compressible Subspaces for Adaptive Network Compression at Inference Time https://arxiv.org/abs/2110.04252 2 comments
- GitHub - microsoft/onnxruntime: ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator https://github.com/Microsoft/onnxruntime 1 comment
- GitHub - Santandersecurityresearch/CurrentSense-TinyML: Spying on Microcontrollers using Current Sensing and embedded TinyML models https://github.com/Santandersecurityresearch/CurrentSense-TinyML 1 comment
- 2024 Embedded Vision Summit | Computer Vision and Edge AI Conference https://embeddedvisionsummit.com/ 1 comment
- [2208.11212] DeepPicarMicro: Applying TinyML to Autonomous Cyber Physical Systems https://arxiv.org/abs/2208.11212 0 comments
- [2206.15472] On-Device Training Under 256KB Memory https://arxiv.org/abs/2206.15472 0 comments
- [2005.11138] TinyLSTMs: Efficient Neural Speech Enhancement for Hearing Aids https://arxiv.org/abs/2005.11138 0 comments
- TinyML as a Service at the IoT Edge - Ericsson https://www.ericsson.com/en/blog/2019/12/tinyml-as-a-service-iot-edge 0 comments
- [1711.10464] Openmv: A Python powered, extensible machine vision camera https://arxiv.org/abs/1711.10464 0 comments
- [1602.07360] SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and &ampampampampampampampampampampampampampampampampampampampLT0.5MB model size https://arxiv.org/abs/1602.07360 0 comments
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