Together AI Successfully Raises 730 Million Yuan, Emphasizing the Importance of Open Source in the Large Model Field

30.5K Stars! Why This AI Tool Design Treasure is Going Viral Among Developers?

A GitHub open-source project named "system-prompts-and-models-of-ai-tools" has gained significant traction, accumulating 30.5K stars and becoming a popular resource for AI developers and researchers. This project, according to AIbase, compiles system prompts and model configurations for 9 mainstream AI tools, encompassing over 6500 lines of content and covering v0, Cursor, Manus, Same.dev, Lovable, Devin, and Rep.

Pixverse Launches MCP: Unlocking a New Frontier in AI Video Generation

With the rapid advancement of generative AI technology, the video creation field is experiencing a new wave of transformation. Pixverse, a leading platform in AI video generation, recently launched the Model Context Protocol (MCP), providing users and developers with a more efficient and flexible video generation solution. What is MCP? Unlocking new ways to generate AI videos. Pixverse's MCP (Model Context Protocol) is specifically designed for AI video generation...

AI Boosts UK Workplace Productivity: Employees Save 122 Hours Annually!

A new Google report reveals that effective AI training for employees could unlock a £400 billion (approximately $533 billion) boost to the UK economy from AI-driven growth. Based on a UK pilot program, the report shows employees saved over 122 hours annually on administrative tasks by using AI tools. The report highlights that simplifying AI usage and providing adequate training are key to wider AI adoption. Google's European, Middle...

Google I/O 2025 Outlook: Material 3, Android XR, and Generative AI Reshape Developer Experience

At this morning's Google I/O 2025 conference, Google announced a series of exciting new technologies, further showcasing its latest advancements in artificial intelligence, immersive experiences, and developer tools. Here are the major highlights we can expect: 1. Material 3 Expressive: The Future of Expressive Design. Google will unveil Material 3 Expressive at the conference, a new design system described as "the future of Google's user experience design." Material 3 Ex...

AI Daily: Tencent Releases Version 2.5 of its HunYuan 3D Generation Model; Haier Launches Image-to-Person Reference Feature; Baidu Launches Mobile Super Intelligence App, Xinxiang

Sentra Secures $50 Million in Series B Funding to Help Enterprises Secure Data in the Age of AI

ProGen3: A Generative AI Biomodel Redefining the Future of Protein Design

AI is revolutionizing life sciences. Biocomputing company ProFluent recently launched ProGen3, a powerful generative protein language model (PLM) poised to drive breakthroughs in antibodies, industrial enzymes, and gene editing. Research shows ProGen3's scale and design optimizations enable the generation of highly functional novel proteins, potentially reshaping our understanding of biology. Proteins are vital molecules within living organisms, responsible for diverse physiological functions, from catalyzing reactions to recognition.

Brellium, a Startup, Secures $16.7 Million in Funding to Advance AI-Powered Medical Record Review

JEDEC Releases HBM4 Standard, Powering the Next Era of AI and High-Performance Computing

The JEDEC Solid State Technology Association has announced the highly anticipated release of the High Bandwidth Memory (HBM) standard – HBM4. Evolving from the HBM3 standard, HBM4 aims to further accelerate data processing while maintaining higher bandwidth, energy efficiency, and greater capacity per chip or stack, to meet the demands of efficient processing of large datasets and complex computations. The HBM4 standard introduces several key technological advancements, suitable for applications in generative AI, high-performance computing, high-end graphics cards, and servers. Firstly, HBM4 significantly increases bandwidth...

Sand AI Open-Sources MAGI-1 Video Generation Model: Infinite Scalability, High Fidelity

On April 21, 2025, Sand AI open-sourced its video generation model, MAGI-1. With its innovative autoregressive diffusion architecture and exceptional performance, it quickly became a focal point in the generative AI field. Licensed under Apache 2.0, the code, weights, and inference tools are available on GitHub and Hugging Face, providing a powerful creative tool for global developers. MAGI-1 is based on a diffusion transformer architecture, incorporating block causal attention and parallel attention.