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Recently, an intelligent academic research tool called ScholAI has attracted widespread attention. This innovative tool, based on the Multi-Cloud Platform (MCP), integrates functions such as paper search, analysis, management, CCF ranking query, and semantic query analysis, providing researchers with an efficient and intelligent academic research solution. The AIbase editorial team has compiled the latest information from the web to provide you with a comprehensive overview of ScholAI's unique advantages and future potential. Core Features of ScholAI: One

Today, BeanBag App has made a significant upgrade in the field of intelligent photo editing. Its one-sentence photo editing function has been fully optimized based on the latest image editing model, SeedEdit 3.0, bringing more diverse photo editing experiences to users. After this upgrade, BeanBag App supports various photo editing operations, greatly meeting different photo editing needs of users. Users can easily add or replace text with just one click, adding unique text elements to photos to make youthful memories图文并茂and more memorable.

Building on the GPT-4o released last year, OpenAI has made significant updates to its advanced voice mode, making voice communication more natural and aligned with human conversation styles. This advanced feature is based on the native multimodal model, which can quickly respond to audio inputs, with the fastest response time at 232 milliseconds and an average response time of 320 milliseconds, nearly matching the speed of human conversations. At the beginning of this year, OpenAI had already made minor updates to this voice mode, improving interruption frequency and accent handling.

Welcome to the 【AI Daily】 column! Here is your daily guide to exploring the world of artificial intelligence. Every day, we present hot content from the AI field, focusing on developers and helping you gain insights into technological trends and understand innovative AI product applications. New AI products click to learn more: https://top.aibase.com/1: Tencent releases the HunyuanVideo - Avatar voice-based digital human model: Picture + audio, making the subject in the picture speak and sing. The Tencent released HunyuanVid

Anthropic recently announced the release of the beta version of the voice conversation feature in its AI assistant Claude's mobile application, providing users with a more convenient interactive experience. This feature supports voice commands for schedule inquiries, document searches, email sending, and more, significantly enhancing mobile productivity. Currently, the beta version only supports English, and Anthropic plans to roll out multi-language support to global users within the next few weeks. Claude's voice mode uses the 'push-to-talk' mechanism, requiring users to manually click to send voice instructions.

Amap announced the launch of the world's first map-based AI navigation agent, officially launching nationwide. This innovative initiative marks a transformation of navigation services from traditional travel tools to intelligent travel companions that can think, predict, and are empathetic.

Nvidia recently announced plans to establish over one million square feet of manufacturing space in Arizona and Texas for the production and testing of AI chips. This represents a significant move by Nvidia to bring some of its manufacturing back to the United States. Nvidia's Blackwell chip is already in production at TSMC's Arizona facility. Additionally, Nvidia is establishing "supercomputer" manufacturing plants in Texas, partnering with Foxconn in Houston and Wistron in Dallas. In Arizona, Nvidia is collaborating with Amkor and others.

Oxford-based startup Lumai, a key player in AI infrastructure, has announced securing over $10 million in funding. The round was led by deep tech investor Constructor Capital, with participation from IP Group, Ventures, Journey Ventures, LIFTT, Qubits Ventures, State Farm Ventures, and TIS.

A powerful newcomer has emerged in the fintech arena. The Fin-R1 model, jointly developed by Professor Liwen Zhang's team (SUFE-AIFLM-Lab) at the School of Statistics and Data Science, Shanghai University of Finance and Economics, and Caiyue Xingchen, has been officially open-sourced, attracting significant attention due to its impressive performance. This financial specialized large language model, based on Qwen2.5-7B and trained with reinforcement learning, achieves leading performance across multiple financial benchmark tests. Remarkably, Fin-R1 surpasses most models of comparable size, and even many significantly larger models, despite having only 7B parameters.

JianDan, the world's first AI large model for weight management, was recently launched in Hefei. This innovative model leverages technologies like DeepSeek to provide personalized weight management solutions.

In today's rapidly developing medical technology, Baichuan Intelligent, in collaboration with Beijing Children's Hospital and Xiaoerfang Health, has launched the world's first pediatric large language model – Futang Baichuan Pediatric LLM. This innovative model not only covers the knowledge system of common and difficult diseases in children, but also possesses strong clinical reasoning capabilities, aiming to provide scientific and personalized treatment plans for children. A highlight of the Futang Baichuan Pediatric LLM is its pioneering of the "Pediatric Evidence-Based Model". This model is designed to integrate the best medical evidence, just like a professional pediatrician, to guide...