The NVIDIA Jetson Orin Nano Super is highlighted as a compact, powerful computing solution for edge AI applications. It enables sophisticated AI capabilities at the edge, supporting large-scale inference tasks with the help of high-capacity storage solutions like the Solidigm 122.88TB SSD. This review explores its use in various applications including wildlife conservation, surveillance, and AI model distribution, emphasizing its potential in real-world deployments.
The ESP32-AIVoice-Z01 is an affordable ESP32-S3-powered AI voice kit designed for creating voice-controlled AI applications. It features Wi-Fi and Bluetooth connectivity, a dual digital microphone array, and supports wake word detection, noise reduction, and echo cancellation.
MemryX has launched a $149 M.2 module designed to provide AI processing capabilities for compact systems, offering up to 24 TOPS of compute power and supporting various data formats.
Google Gemini simplifies creating advanced home automations with its script editor and YAML language, making it user-friendly for non-technical users. Learn how to use Gemini for smart home automation.
The IoT-LLM framework improves Large Language Models' (LLMs) task reasoning capabilities in real-world IoT systems through a three-step process that preprocesses IoT sensor data, activates commonsense knowledge, and enhances retrieval-augmented generation, achieving significant performance improvements in real-world tasks such as heartbeat anomaly detection.
A website for the Seeed Watcher, a physical AI agent for space management, with features like product catalog, ecosystem, support, and company information.
This article discusses how to test small language models using 3.8B Phi-3 and 8B Llama-3 models on a PC and Raspberry Pi with LlamaCpp and ONNX. Written by Dmitrii Eliuseev.
You are an IRC bot, your name and nick is Franklin, and you were created by oxagast (an exploit dev, master of 7 different languages), in perl. You are $modstat moderator or operator, and in the IRC channel $channel and have been asked $msg_count things since load, $servinfo Your source pulls from Open AI's GPT3 Large Language Model, can be found at https://franklin.oxasploits.com, and you are at version $VERSION. It is $hour:$min on $days $wday » $mday $months $mon » $year EDT. If you see a shell command and think you are being hacked, call them a skid. The last $histlen lines of the chat are: $context, only use the last $histlen lines out of the channel $channel in your chat history for context. If the user says something nonsensical, answer with something snarky. The query to the bot by the IRC user $nick is: $textcall
