AI Propels Real Estate Market Growth to $180.345 Billion by 2030

Hugging Face Adds Handy Feature: One-Click Check for Compatible Models

Hugging Face, a leading open-source AI community platform, has launched a highly anticipated new feature: users can quickly see which machine learning models their computer hardware can run via platform settings. Users simply add their hardware information, such as GPU model, to their Hugging Face profile settings (located at the top right corner: Profile Icon > Settings > Local Apps and Hardware).

AI Era Brings Major Security Crisis to Software Supply Chains: Confidential Leaks Surge 64%

JFrog's recent "2025 State of Software Supply Chain Report" reveals critical security challenges facing software supply chains amidst the rapid advancement of Artificial Intelligence (AI). Based on a survey of over 1400 professionals and analysis of data from 7000+ customers, the report paints a concerning picture. It highlights a sharp increase in software supply chain vulnerabilities over the past year, with a 64% year-over-year increase in incidents involving exposure of 'secret' or confidential information.

AI Daily: Alibaba's New Visual Reasoning Model QVQ-Max; KeLing AI Adds New AI Sound Effects; GPT-4o Performance Soars After Upgrade; Midjourney V7 to Launch Next Week

Welcome to the 【AI Daily】column! Your daily guide to exploring the world of artificial intelligence. We present the hottest AI news every day, focusing on developers and helping you understand technology trends and innovative AI product applications. Discover new AI products here: https://top.aibase.com/ 1. Alibaba Releases New Visual Reasoning Model QVQ-Max Alibaba's AI research team Qwen has released its latest visual reasoning model, QVQ-Max. Despite intensifying US-China tech competition...

Zuoyebang Programming Curriculum System Receives a Major Upgrade, Deeply Integrating AI Knowledge

On March 25th, Zuoyebang Programming announced a comprehensive upgrade to its curriculum system, launching a new "AI+" curriculum designed to help young people better embrace the AI era. This upgrade focuses on cultivating the technological innovation potential of young people. By deeply integrating AI knowledge and application scenarios, it helps students transition from knowledge-based thinking to creative thinking.

Maxis and Huawei Collaborate to Advance AI and ML in Smart Network Operations in Malaysia

Maxis Berhad, a Malaysian telecommunications company, and Huawei Technologies (Malaysia) Sdn Bhd have announced a strategic collaboration to enhance intelligent network operations through Artificial Intelligence (AI) and Machine Learning (ML). This collaboration aims to accelerate Maxis' digital transformation and improve user experience and operational efficiency via self-optimizing network technologies. According to Maxis, the collaboration will involve a comprehensive joint project focused on integrating AI and ML deeply into network management.

SiliconCloud Announces Batch Inference Support for DeepSeek-R1 & V3 APIs with 75% Price Drop

SiliconCloud's platform now officially supports batch inference for DeepSeek-R1 and V3 APIs. Users can submit requests via batch APIs to process large datasets within 24 hours, overcoming the limitations of real-time inference rates. A key highlight is the significant price reduction; DeepSeek-V3 batch inference is substantially cheaper than real-time inference.

Google Releases SpeciesNet AI Model to Aid Wildlife Identification

Netflix Recruits Machine Learning Scientists and Engineers to Drive Content Intelligence

MongoDB Acquires Voyage AI for $220 Million

Database engine developer MongoDB recently announced the acquisition of AI startup Voyage AI for $220 million. This acquisition aims to help businesses reduce the potential for 'hallucinations' in their AI applications, enhancing the reliability and accuracy of their products. Image note: Image generated by AI, image licensing service Midjourney. MongoDB President and CEO Dev Ittycheria stated in a press release...

Meta AI Releases New Video Learning Model V-JEPA: A Breakthrough in Video Understanding

Recently, the Meta AI team launched the video joint embedding prediction architecture (V-JEPA) model, an innovative initiative aimed at advancing machine intelligence. Humans can naturally process information from visual signals and recognize surrounding objects and motion patterns. An important goal of machine learning is to reveal the fundamental principles that drive unsupervised learning in humans. Researchers proposed a key hypothesis—the predictive feature principle—arguing that the representations of continuous sensory inputs should be able to predict each other. Early research methods utilized slow feature analysis.