Search AI Products and News

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.

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.....

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

Microsoft announced the release of 700 real AI agents and Copilot cases. These cases come from different fields, showcasing how artificial intelligence is deeply transforming work models. As a global leader in the AI field, Microsoft is committed to helping businesses and individuals better understand and apply AI technology. The released cases cover multiple industries such as finance, healthcare, technology, education, and automobile manufacturing, reflecting the extensive application of AI across various fields. In these cases, the intelligent agents built by Accenture for clients successfully achieved

According to the latest prediction from Gartner, by 2028, 80% of generative AI business applications will be developed on existing data management platforms. This shift is expected to reduce development complexity and cut delivery time in half. Currently, the development of generative AI business applications mainly relies on combining large language models (LLMs) with corporate internal data, as well as evolving technologies such as vector search, metadata management, prompt design, and embedding techniques. However, without a unified management approach, companies may...