Run custom AI models on ESP32 boards by training a 30 million parameter transformer. Use 4-bit quantization to fit the model perfectly into 16MB PS RAM.
Meta’s Muse Spark Open is an 816B open-weight MoE with 42B active parameters, 1M context and multimodal input.
The HyphenX Seven-Point Salesforce Staff Augmentation Framework helps organizations decide when to add Salesforce ...
Build practical ESP32 projects that solve daily problems. We evaluate five functional builds, including a Wi-Fi dead zone ...
MX Exploration's bulk sample program is projected to generate CAD 80 million to CAD 135 million in pre-commercial gold revenue, with approximately CAD 40 million in dual-use infrastructure spending ...
Tech platformization: the taxi becomes the ride, the spare room becomes the listing, and you become the supply. That's a narrow capability. What's interesting is how fast people found things to point ...
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