• Ternary Hybrid Neural-Tree Networks for Highly Constrained IoT Applications

    Charlotte Christopherson
    Charlotte Christopherson
    Dibakar Gope, Ganesh Dasika, Matthew Mattina
    Machine learning-based applications are increasingly prevalent in IoT devices. The power and storage constraints of these devices make it particularly challenging to run modern neural networks, limiting the…
    • Ternary Hybrid Neural-Tree Networks for Highly Constrained IoT Applications.pdf
    • over 1 year ago
    • Arm Research
    • Resources

  • Development Boards for ML Processor

    techguyz
    techguyz

    Hello Experts,

    Please specify any ML processor based development boards availability to experiment and learn the NN SDK functionalities.

    Also curious to know is there any smartphones already having this provision.

    • over 1 year ago
    • Open Source Software and Platforms
    • Machine Learning forum

  • New CMSIS-NN Neural Network Kernels Boost Efficiency in Microcontrollers by ~5x

    Vikas Chandra
    Vikas Chandra

    Neural Networks are becoming increasingly popular in always-on IoT edge devices performing data analytics right at the source, reducing latency as well as energy consumption for data communication. CMSIS-NN is a collection of efficient neural network…

    • over 2 years ago
    • Processors
    • Processors blog