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Ollama launches a desktop client, bidding farewell to the single command-line mode, supporting macOS system. The new version offers a graphical interface, multimodal recognition, and document drag-and-drop features, simplifying the model management process, and supporting local large language models such as Llama3. The client strengthens the advantages of local operation, ensures data privacy, and optimizes performance. The open-source community actively expands the ecosystem, with future plans to release cross-platform versions. This upgrade makes local AI tools more user-friendly, providing developers and general users with more diverse application scenarios.

Shenzhen Leju Robotics has secured a new round of funding, with its registered capital increased to 2.27 million yuan, and investors including Dongfang Jinggong. The company, established in 2016, has accumulated over tens of millions in financing. It has transitioned from educational robots to the industrial field. Its Aelos educational robot has been adopted by more than 4,000 schools. In 2023, it launched a humanoid robot based on open-source HarmonyOS, and collaborated with Huawei Cloud and China Mobile to develop 5G-A robots, enhancing application capabilities in industrial scenarios. The company plans to deliver 1,000 humanoid robots by 2025, addressing labor shortages in manufacturing and promoting intelligent production.

VLM2Vec-V2, a multimodal embedding framework developed by Salesforce Research and other institutions, breaks through the limitations of traditional models. Based on the Qwen2-VL architecture, this framework innovatively unifies image, video, and visual document retrieval tasks. It adds five new evaluation tasks to expand the MMEB dataset. With key technologies such as dynamic resolution and M-RoPE, it achieved an average score of 58.0 across 78 datasets, leading in performance, especially in video tasks. Although its document retrieval is slightly behind ColPali, it

Ant Group launches 'Treasure Box' AI platform for service industry digitalization, offering 70+ plugins and rapid deployment.....

Shanghai Jiao Tong University and DP Technology's X-Master AI system set a 32.1 record in the HLE test, featuring tool-enhanced reasoning and multi-agent collaboration for biomedical breakthroughs.....

Ziyuan's robot Lingxi X2-N features dual-mode design: wheeled for mobility and legged for obstacle-crossing, carrying 6kg. It adapts to complex terrains with excellent balance and load capacity.....

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

In the new energy vehicle market, Xiaopeng Automotive has once again drawn attention. On July 3rd, the Xiaopeng G7 Ultra was officially launched, becoming the first intelligent vehicle equipped with the local-end "VLA+VLM" large model. This innovative technology marks an important step forward for Xiaopeng in the field of intelligent driving. The Xiaopeng G7 Ultra is equipped with the VLA (active thinking and rapid decision-making capability) large model, making the driving experience more intelligent. In daily driving, the G7 Ultra can flexibly handle various complex driving scenarios, such as in traffic.

Hoje, o Hello, o Grupo Ant e a BYD, por meio de seus investidores, registraram conjuntamente a empresa Shanghai Zao Fu Intelligent Technology Co., Ltd. em Xangai. Esta nova empresa

This article provides a comprehensive review of the actual performance of Viddo AI's Veo3 video generation tool, analyzing how it uses AI technology to transform text/images into high-definition videos. It compares its features with those of market competitors and gives a detailed introduction to the user experience and applicable scenarios, helping you decide whether this low-cost AI video generation tool that claims to be 'movie-level' is worth investing in.

This article provides a detailed review of the AI-driven social media management tool SchedPilot, analyzing its core functions such as cross-platform publishing and AI comment assistant, helping creators and marketing teams determine whether this tool is worth using. Understand the differentiated advantages and applicable scenarios of SchedPilot compared to other social media management tools.

A comprehensive analysis of MCP Stack's open-source marketing cloud platform functions, detailing its technical advantages in multi-channel integration, AI automated marketing, real-time data analysis, and providing implementation suggestions for enterprise-level marketing automation solutions.

Comprehensive analysis of the functional features and user experience of the LLM SEO Monitor tool, learn how to enhance brand visibility in AI search engines like ChatGPT and Gemini through professional monitoring, and gain commercial value from AI search traffic.

Gain insight into how this revolutionary tool, LLM SEO Monitor, helps brands monitor their performance in AI assistant search results like ChatGPT and Google Gemini. Analyze core functionalities, compare pricing pros and cons, and learn how to use it to bring new competitive advantages to brands in the AI search era.

On the evening of June 11, XPeng Motor officially released its latest model - XPeng G7. This car is known as the world's first AI car with L3-level computing power. Its biggest highlight lies in the installation of XPeng’s self-developed Turing AI chip, which has a computational capability equivalent to three Orin-X chips, showcasing XPeng's technical advantages in the intelligent vehicle field. The XPeng G7 is equipped with a powerful 40-core processor that can run up to 30B simulation parameters and features two self-developed neural network processors.