The Neural Network Watermarking (MPAI-NNW) Technical Specification provides standard methods to measure the ability of 1) a watermark inserter to inject a payload without deteriorating the neural network (NN) performance, 2) a watermark detector to recognize the presence and the watermark decoder to successfully retrieve the payload of the inserted watermark, and 3) a watermark inserter to inject a payload and the watermark detector/decoder to detect/decode a payload from a watermarked model or… read more from any of its inferences at a measured computational cost. read less

定价： 56元 / 折扣价： 48 元

The MPAI AI Framework (MPAI-AIF) Technical Specification specifies architecture, interfaces, protocols and Application Programming Interfaces (API) of an AI Framework (AIF), especially designed for execution of AI-based implementations, but also suitable for mixed AI and traditional data processing workflows. MPAI-AIF possesses the following main features: • Operating System-independent. • Component-based modular architecture with standard interfaces. • Interfaces encapsulate Components to… read more abstract them from the development environment. • Interface with the MPAI Store enables access to validated Components. • Component can be implemented as: software only (from Micro-Controller Units to High-Performance Computing), hardware only, and hybrid hardware-software. • Component system features are: • Execution in local and distributed Zero-Trust architectures. • Possibility to interact with other Implementations operating in proximity. • Direct support to Machine Learning functionalities. read less

定价： 82元 / 折扣价： 70 元

Technical Specification: Object and Scenes Description (MPAI-OSD) specifies Data Formats to enable description and localisation of uni- and multi-modal Objects and Scenes in a Virtual Space for uniform use across MPAI Technical Specifications.

定价： 70元 / 折扣价： 60 元

MPAI-CAE V1.4 is a collection of four Use Cases specifying AI based technologies for audio-related applications including entertainment, communication, post-production, teleconferencing, and restoration. The goal is to improve the user audio experience in a variety of situations, such as in the home, in the car, on the go, or in the studio, using context information to act on the input audio content, and delivering the processed audio output via an appropriate protocol. The Use Cases identified in MPAI-CAE V1.4 are Emotion Enhanced Speech (EES), Audio Recording Preservation (ARP), Speech Restoration System (SSR), and Enhanced Audioconference Experience (EAE).

定价： 106元 / 折扣价： 91 元

The Neural Network Watermarking (MPAI-NNW) Technical Specification provides standard methods to measure the ability of 1) a watermark inserter to inject a payload without deteriorating the neural network (NN) performance, 2) a watermark detector to recognize the presence and the watermark decoder to successfully retrieve the payload of the inserted watermark, and 3) a watermark inserter to inject a payload and the watermark detector/decoder to detect/decode a payload from a watermarked model or… read more from any of its inferences at a measured computational cost. read less

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