https://terms-en.ai-term-hub.com/en/tags/edge-computing/Recent content in Edge Computing on English AI Terms DictionaryHugoen-usSat, 18 Jul 2026 11:44:44 +0000https://terms-en.ai-term-hub.com/en/terms/phi3/Sat, 18 Jul 2026 10:10:59 +0000https://terms-en.ai-term-hub.com/en/terms/phi3/<h2 id="definition">Definition</h2> <p>Phi-3 is a series of small language models (SLMs) released by Microsoft, designed to deliver high performance comparable to larger models while requiring significantly less computational resources. These models are trained on high-quality, filtered synthetic data and real text, focusing on reasoning, mathematics, and coding capabilities. Phi-3 supports various context lengths and is optimized for deployment on edge devices, making it suitable for on-device AI applications without relying on heavy cloud infrastructure.</p>https://terms-en.ai-term-hub.com/en/terms/artificial_intelligence_of_things/Sat, 18 Jul 2026 09:46:35 +0000https://terms-en.ai-term-hub.com/en/terms/artificial_intelligence_of_things/<h2 id="definition">Definition</h2> <p>Artificial Intelligence of Things (AIoT) represents the synergistic integration of Artificial Intelligence and Internet of Things technologies. By embedding AI algorithms directly into IoT devices or edge nodes, AIoT allows for real-time data processing, enhanced decision-making, and reduced latency compared to cloud-only architectures. This combination transforms passive sensors into intelligent agents capable of learning from their environment, optimizing operations, and executing complex tasks autonomously without constant human intervention or heavy reliance on central servers.</p>