COLE AI System: Multi-Model Joint Generation of High-Quality Designs

Wuhan's Physical Education Exam Integrates AI System, Benefiting Nearly 100,000 Students

From April 1st to 18th, approximately 100,000 ninth-grade students in Wuhan participated in their physical education entrance examination. This year's exam introduced a new AI intelligent judging system, marking a significant shift in physical examination assessment. Traditionally, physical education exams relied on manual timing and scoring. This year's exam utilized intelligent devices and cloud management to ensure fairness and efficiency. The exam incorporated several AI technologies, including facial recognition, electronic distance measurement, and wireless sensing, covering 14 items across three categories.

Meta Unveils MoCha: AI System Transforms Text into Vivid Animated Characters with Natural Lip Sync and Movement

Meta, in collaboration with researchers from the University of Waterloo, recently launched MoCha, a novel AI system that generates full-body animated characters with synchronized speech and natural movements from simple text descriptions. This innovative technology promises to significantly enhance content creation efficiency and expressiveness, showcasing immense potential across various fields. Breaking the mold, MoCha's full-body animation with precise lip-sync differs from previous AI models that primarily focused on facial expressions. Its unique ability to render natural full-body movement makes it a groundbreaking advancement.

Meta Unveils MoCha AI System: Generating Character Animations with Synchronized Speech and Movement

Meta, in collaboration with researchers from the University of Waterloo, has developed MoCha, an AI system capable of generating full-body character animations with synchronized speech and natural movements. Unlike previous models focused solely on facial animation, MoCha renders full-body movements from multiple camera angles, encompassing lip-sync, hand gestures, and interactions between multiple characters. MoCha's demonstration highlights the accurate generation of synchronized upper body movements and hand gestures in close-up and medium shots, significantly improving lip-sync accuracy.

Report: Apple Spends $1 Billion on NVIDIA's AI Systems

Manus AI System Prompt Leakage: Official Response

The general-purpose AI agent product Manus, launched recently, has attracted a large number of users vying for invitation codes. While its performance has garnered much attention, there's also significant interest in the technology behind Manus. Besides numerous teams attempting to replicate Manus, a user named Jian recently cracked the Manus system. By simply requesting Manus to output the contents of the directory '/opt/.manus/', they successfully obtained some sensitive information and operational data.

Luo Yonghao's AR Startup Thin Red Line Launches Spring Recruitment, Shifting Focus to AI System Development

Recently, Luo Yonghao's AR startup, Thin Red Line, announced its official launch of spring recruitment for 2025, attracting considerable attention. The company's currently open full-time positions are all for Product Managers, including Senior Software Product Manager, AI Software Product Manager, IM Software Product Manager, BI Data Product Manager, and Commercialization Product Manager. Locations are in Shanghai and Beijing, though specific salary ranges haven't been publicly disclosed. According to industry media outlet 36Kr, Luo Yonghao's latest...

Novel AI System Accurately Detects Changes in Medical Images

Analyzing medical image data has always been a complex and laborious process. Recently, researchers at Weill Cornell Medicine developed a novel artificial intelligence system called LILAC (Learning-based Inference of Longitudinal Image Changes) that can efficiently and accurately analyze and detect changes in medical images over time. This research, published on February 20th in the Proceedings of the National Academy of Sciences, showcases LILAC's broad application potential in various medical scenarios. Traditional medical image analysis methods often require extensive customization and pre-processing.

Meta Introduces New Framework to Limit the Release of High-Risk AI Systems

Meta has recently launched a new risk policy framework aimed at assessing and mitigating the risks associated with cutting-edge AI models, with the intention to halt development or restrict the release of these systems when necessary. This framework, named 'Cutting-edge AI Framework', outlines how Meta will categorize AI models into high-risk and critical risk categories, and take appropriate measures to reduce risks to an 'acceptable level'. In this framework, critical risks are defined as those uniquely capable of executing specific threat scenarios, while high risk implies

DeepMind's New AI System Surpasses International Mathematics Olympiad Gold Medalists, Significantly Enhancing Problem-Solving Abilities

Recently, an AI system developed by Google DeepMind—AlphaGeometry2—has successfully surpassed the average level of gold medalists at the International Mathematics Olympiad (IMO), demonstrating outstanding performance in solving geometry problems. AlphaGeometry2 is an upgraded version of the AlphaGeometry system released by DeepMind last year. According to the latest research from the research team, this system can solve 84% of the geometry problems from the IMO over the past 25 years.

DeepMind's New AI System AlphaGeometry2: Surpassing International Mathematics Olympiad Gold Medalists