The server is built around a provider abstraction layer. Every capability is defined by a TypeScript interface, and concrete implementations wrap specific tools/APIs. Swapping a tool means writing a ...
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Abstract: Conventionally, deep neural networks are trained offline, relying on a large dataset prepared in advance. This paradigm is often challenged in real-world applications, e.g. online services ...
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Architecture hub/ parsers/ JSONL + SQLite parsers for each provider adapters/ Normalize provider entries → unified events watchers/ File harvesters: discover → offset → parse → store → SSE harvesters/ ...
Abstract: Deep neural network (DNN) accelerators [1-3] have been proposed to accelerate deep learning algorithms from face recognition to emotion recognition in mobile or embedded environments [3].