#cplusplus#arm#convolution#deep_learning#embedded_devices#llm#machine_learning#ml#mnn#transformer#vulkan#winograd_algorithm
MNN is a lightweight and efficient deep learning framework that helps run AI models on mobile devices and other small devices. It supports many types of AI models and can handle tasks like image recognition and language processing quickly and locally on your device. This means you can use AI features without needing to send data to the cloud, which improves privacy and speed. MNN is used in many apps, including those from Alibaba, and supports various platforms like Android and iOS. It also helps reduce the size of AI models, making them faster and more efficient.
https://github.com/alibaba/MNN
I Built a Mesh Network Across the World | Data Slayer
That escalated quickly...
In my last video, I introduced #Reticulum—an open-source protocol that could allow anyone to build networks without relying on traditional internet infrastructure. But there was one big question left unanswered: how far can it actually go?
In this video, I start with a simple setup inside my house and begin pushing the limits—testing communication across rooms, neighborhoods, and beyond using WiFi HaLow and #mesh networking. The goal is simple: see if it’s possible to send real messages across distance without depending on ISPs, centralized servers, or the internet as we know it.
#Network#MeshNetwork
The Internet, Reinvented.
In this video, I build a #Reticulum#RNode and prove that completely different radios — #LoRa and Wi-Fi — can communicate through a hardware-agnostic networking stack. Reticulum routes traffic above the radio layer, automatically bridging dissimilar frequencies, interfaces, and modulation types. I then run it over Wi-Fi HaLow Haven nodes to create a long-range, encrypted IP #mesh with no traditional infrastructure.
Finally, I push it further by running #ATAK across the network, demonstrating a fully open-source, decentralized communication stack in action.
Checkout https://rmap.world/
You can install rnode software on your esp32/nrf52 based meshtastic/meshcore hardware