Heygen Releases Avatar in Motion 1.0 with New Features: Not Just Lip Syncing, But Also Mimicking Your Actions and Postures

MiniMax MCP Server Launch: Text Input Enables AI-Powered Content Creation

Today, MiniMax Xiyue Technology announced the official launch of its MiniMax MCP Server. This innovative platform provides users with a one-stop multimodal solution. With simple text input, users can access cutting-edge capabilities such as video generation, image generation, voice generation, and voice cloning, significantly expanding the application boundaries of artificial intelligence in creative content generation.

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.

Boston Dynamics' Latest Atlas Robot Shows Stunning Agility: Running, Backflips, Side Somersaults, and Breakdancing

On March 19th, Boston Dynamics showcased the impressive agility of its latest Atlas robot. In collaboration with the RAI Institute, this humanoid robot, utilizing reinforcement learning and motion capture technology, achieves remarkably natural and fluid human-like movements, generating significant attention. Boston Dynamics revealed that Atlas's breakthroughs stem from advanced reinforcement learning, enabling it to self-learn and optimize its movements. This movement data is sourced from motion capture technology, capturing the trajectories of human or other model movements to train Atlas.

Boston Dynamics' Atlas Robot Achieves Human-Level Agility

Boston Dynamics recently showcased its Atlas humanoid robot's latest advancements on X, sparking widespread discussion in the tech community. In collaboration with the Robotics & AI Institute (RAI Institute), the company leveraged reinforcement learning and motion capture to enable Atlas to learn and perform more natural, fluid, human-like movements. This breakthrough is expected to accelerate the development of humanoid robots towards practical real-world applications.

Heygem: Open-Source HeyGen Alternative with Precise Appearance and Voice Cloning, Including Lip-Sync

Heygem is an open-source alternative to HeyGen, offering precise cloning of appearance and voice, and supporting lip-sync for realistic video generation.

Spark-TTS: AI-Powered Voice Cloning and Customization!

Mobvoi Releases TicVoice 7.0, Featuring Supernatural Voice Cloning and Cross-lingual Generation

On March 6th, Mobvoi collaborated with leading academic institutions including the Hong Kong University of Science and Technology, Shanghai Jiao Tong University, Nanyang Technological University, and Northwestern Polytechnical University to open-source Spark-TTS, a new generation of speech synthesis model. Simultaneously, they launched TicVoice 7.0, a high-quality commercial TTS engine. As Mobvoi's seventh-generation TTS engine, TicVoice 7.0 represents a significant breakthrough in speech synthesis, ushering in a new paradigm for voice generation.

Spark-TTS: A Text-to-Speech System Supporting Zero-Shot Voice Cloning and Fine-grained Control

Lei Jun's Two Sessions Proposal: Strengthen Governance in AI Deepfake and Voice Cloning Crime Hotspots

Lei Jun's 2025 Two Sessions Proposal: Focusing on AI Terminals and Governance of AI Face Swapping and Voice Cloning

Lei Jun pointed out that AI terminals, as important platforms for the implementation of AI technology, are constantly expanding their application scope, extending from smartphones, smart cars, and wearable devices to smart homes and robots. This trend not only injects new vitality into the consumer market but also provides key impetus for the high-end and intelligent upgrading of the industrial chain. However, in the early stages of the rapid development of AI terminals, it is still necessary to overcome core technological bottlenecks, build a collaborative innovation ecosystem, and promote industry standardization, collaboration, innovation, and high-quality development.