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Google DeepMind open sources the GenAI Processors Python library, helping developers build efficient generative AI workflows. The library supports asynchronous processing of multimodal data and optimizes Gemini API application development, significantly reducing latency in real-time applications. Core features include a modular Processor interface, streaming API design, and concurrency optimization, enabling rapid development of real-time applications such as intelligent assistants. Currently only supports Python, but with an open community contribution model, future plans include expanding functionality to cover more scenarios.

CASIC introduces Stream-Omni, a multimodal model supporting text, vision, and speech. It uses targeted alignment to reduce data dependency, excels in cross-modal tasks, and offers open-source resources.....

Glass, an open-source AI assistant by Pickle, gained popularity for its invisible design and real-time processing. It captures screen/audio to organize notes without disrupting workflow, prioritizing privacy. Available for macOS (Windows/Linux planned), it's Apache2.0 licensed with 1.8k GitHub stars. Future plans include 'digital clone' expansion.....

Recently, the French AI laboratory Kyutai announced the official open source of its new text-to-speech model, Kyutai TTS, providing global developers and researchers with a high-performance, low-latency speech synthesis solution. This breakthrough release not only promotes the development of open-source AI technology but also opens up new possibilities for multilingual voice interaction applications. AIbase provides an exclusive analysis of this technological highlight and its potential impact. Ultra-low latency, a new experience in real-time interaction. Kyutai TTS has become an industry standout with its exceptional performance.

El 3 de julio, el instituto francés de investigación en inteligencia artificial Kyutai Labs anunció el lanzamiento del código abierto de su última tecnología de síntesis de voz (TTS), Kyutai TTS, ofreciendo soluciones de generación de voz eficientes y en tiempo real a desarrolladores e entusiastas de la IA. Kyutai TTS destaca por su bajo latencia y sonido de alta fidelidad, permitiendo la transmisión de texto en flujo, comenzando a generar audio sin necesidad de tener todo el texto completo, especialmente adecuado para escenarios de interacción en tiempo real. Kyutai TTS destaca por su excelente rendimiento. Utiliza una sola tarjeta gráfica NVIDIA L40S

The TEN Agent team recently announced that its core models **TEN Voice Activity Detection (VAD)** and **TEN Turn Detection** are now open source, providing powerful technical support for building real-time, multimodal speech AI agents. This move marks a significant advancement in the TEN framework's efforts to promote the democratization and open-source collaboration of speech interaction technology. The following is the latest information compiled by AIbase, offering an in-depth analysis of these two core models.

Recently, a speech synthesis model called Qwen-TTS has made new progress, with its latest version update completed through the Qwen API, bringing users a richer speech synthesis experience. In this update, Qwen-TTS added support for three Chinese dialects: Beijing dialect, Shanghai dialect, and Sichuan dialect, further expanding its application scenarios. The model is trained on a large-scale corpus of more than 3 million hours, achieving naturalness and expressiveness at a human level. Qwen-TTS can not only accurately

On June 24, Faraday Future officially announced the launch of the FF AI2.0 intelligent cockpit operating system, which is the most significant cockpit upgrade since the release of the FF91 in 2023. The new system will be deployed to the FF91 2.0 model first through OTA software updates, and it is planned to be extended to the FX series in the future. FF AI2.0 features a complete restructuring of the entire AI architecture, with its biggest highlight being the deep integration with OpenAI. The system deeply integrates large language models (LLMs) into Faraday Future's software and hardware architecture.