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Recently, a research team from the University of Hong Kong, The Chinese University of Hong Kong, and SenseTime has released a groundbreaking framework - GoT-R1. This new multimodal large model significantly enhances the semantic and spatial reasoning capabilities of AI in visual generation tasks by introducing reinforcement learning (RL), successfully generating high-fidelity and semantically consistent images from complex text prompts. This advancement marks another leap in image generation technology. Currently, although existing multimodal large models have made significant progress in generating images based on text prompts

The new "File" tab in Grok Web, developed by xAI, is set to launch, offering users an all-in-one file management experience. This feature will integrate various file types such as images, spreadsheets, text, and code, significantly improving work efficiency and convenience. The new function allows users to browse, create, upload, and edit files within a single unified interface. Whether handling complex code, editing text documents, or managing images and spreadsheets, users can easily perform these tasks through the "File" tab. This design simplifies the file management process for those working with multiple file types.

Recently, at Baidu's AI Open Day, Wenxin Kaima, Baidu's intelligent code assistant, achieved a major breakthrough. Its standalone AI-native development environment tool, Comate AI IDE, was officially launched. This industry's first multimodal, multi-agent collaborative AI IDE not only introduces the groundbreaking feature of converting design drafts into code with one click, but also provides efficient, intelligent, and secure programming experiences for domestic enterprises and developers.

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

With the continuous progress of artificial intelligence technology, multimodal data processing has gradually become a popular topic. Recently, the globally renowned electrical appliances brand Panasonic launched its latest R&D multimodal large model — OmniFlow. This model can efficiently convert between multiple modalities such as text, image, and audio, achieving any-to-any generation tasks, providing users with a more flexible experience. The design concept of OmniFlow is based on modularity, allowing the various components of the model to be independently pre-trained. This approach not only improves training efficiency but also avoids...

The Nanometer AI Super Search Intelligent Entity under the 360 Company has undergone a major update, adding new features such as multimodal content generation, cross-domain professional search, and smarter task preview functions. From one-click generation of PPTs, PDF reports to automatically integrating videos, voiceover scripts, and storyboard planning, Nano AI redefines the boundary of AI search and creation with more efficient and intuitive experiences. AIbase comprehensively organizes the latest social media dynamics to help you deeply understand the latest breakthroughs of Nano AI. Multimodal Generation: Handle everything from PPTs to videos with one click.

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.

According to a new analysis, the power consumption of artificial intelligence is expected to reach nearly half of the total electricity consumption of global data centers by the end of 2025, meaning AI energy consumption will soon surpass bitcoin mining. The analysis was conducted by Alex de Vries-Gao, a Ph.D. student at the Environmental Institute of Vrije Universiteit Amsterdam. He has previously tracked the power consumption and environmental impact of cryptocurrencies and published related data on his website Digiconomist. Currently, AI has already accounted for a significant portion of data center energy usage.

Recently, Qwen released CoGenAV, innovating speech recognition technology with the concept of audio-visual synchronization. It effectively addresses the challenge of noise interference in speech recognition. Traditional speech recognition performs poorly in noisy environments, while CoGenAV takes a different approach by learning the temporal alignment relationships among audio-visual-text, building a more robust and generalizable speech representation framework, systematically improving tasks such as speech recognition (VSR/AVSR), speech reconstruction (AVSS/AVSE), and audio-visual synchronization (A').

En la era digital, la comodidad y seguridad de la identificación del usuario se vuelven cada vez más importantes. OpenAI anunció recientemente que está trabajando en una manera de