Search AI Products and News

IndexTTS2 is an upcoming film-grade TTS model with 3 breakthroughs: 1) Local deployment & open weights; 2) Zero-shot voice cloning; 3) Pioneering emotion cloning. Supports precise duration control for dubbing (Chinese/English).....

Ziyuan Robotics patented a training method for robot motion control models. It optimizes parameters by comparing actual and expected contact sequences, using swing excitation values. Expected sequences are derived from phase variables and gait mapping, improving motion precision and stability.....

Hong Kong Polytechnic University and OPPO Research Institute jointly released the open-source video super-resolution framework DLoRAL, which generates high-definition videos in one step using diffusion models. The framework adopts a dual LoRA architecture: C-LoRA maintains temporal consistency between frames, while D-LoRA enhances spatial details. Through a two-stage training strategy, it optimizes temporal coherence and high-frequency information. Compared to traditional methods, DLoRAL improves inference speed by 10 times while maintaining smoothness, significantly enhancing image details, and providing an efficient open-source solution for video HD enhancement.

At the 11th Innovation Annual Meeting of the 2025 Yabuli China Entrepreneurs Forum, Peng Lei, founder and chairman of Neuracle Technologies, deeply discussed the future development of brain-computer interface (BCI) technology and proposed five major new trends in this field over the next five years. These trends are expected to completely change people's lifestyles and the technological landscape. 1. Integration of Brain-Computer Interface and Spinal Cord: A Hope for Paralyzed Patients. Peng Lei pointed out that the integration of brain-computer interfaces with the spinal cord will be a major trend in the future. Since the brain and spinal cord are closely connected, spinal cord injuries in patients with high-level paralysis hinder the conduction of nerve signals. In the future,

On June 26, 2025, ByteDance officially launched its latest image synthesis technology - XVerse, aimed at providing a high-precision multi-subject image generation solution. This innovative technology enables users to independently and precisely control multiple individuals, greatly enhancing the ability to generate personalized and complex scenes. The core of XVerse lies in its unique DiT modulation method, which allows control over the identity and semantic attributes of each subject without affecting the overall latent features of the image. By converting reference images into specific characteristics...

On June 18th, the artificial intelligence research institute OpenAI officially open-sourced its customer service agent framework, marking an important step in the company's layout of enterprise-level AI solutions. This framework aims to promote the practical commercial application of intelligent agent systems from laboratory environments to real-world scenarios by providing transparent toolchains and clear implementation examples.

Today, BeanPod computer version and web version officially launched the new AI podcast feature, bringing a revolution in information processing and reception methods for users. Users just need to visit doubao.com, select the AI podcast feature on the page, upload a pdf file or web link, and then quickly generate a podcast content in the form of a two-person dialogue. This innovative feature eliminates the complex editing work in traditional podcast production, allowing users to listen to long articles easily anytime and anywhere. In terms of voice effects, BeanPod podcasts perform excellently. The generated voice is extremely natural and can...

Learn how AICosts.ai helps businesses manage the costs of AI services like ChatGPT and Claude, addressing core issues such as fragmented billing management across multiple platforms, cost anomaly monitoring, and cross-platform optimization.

The Meta AI research team has made another breakthrough in the artificial intelligence field, officially releasing the new video understanding model V-JEPA2 (Video Joint Embedding Predictive Architecture2) on June 11, 2025. Led by Meta's chief AI scientist Yann LeCun, this model has opened up new possibilities in video understanding and physical world modeling with its innovative self-supervised learning technology and zero-shot robot control capabilities.

Recently, a move by Meta founder Mark Zuckerberg has drawn significant attention. Disappointed with the performance of the company's latest open-source large model, Llama4, Zuckerberg has decided to personally form a brand-new 'Superintelligence Team' in an effort to regain competitive advantage in the field of artificial intelligence. The goal of this new team is to achieve general artificial intelligence (AGI), making machines reach human-level performance across multiple tasks. According to insider sources, Zuckerberg has prioritized the formation of the new team and has already established a group called

At the recent annual general meeting held at Meituan headquarters in Hengdian Building in Beijing, founder Wang Xing made a systematic exposition of the company's strategic layout and development plan in the field of artificial intelligence for the first time, revealing the deep thinking and bold practice of Meituan in the AI wave. Wang Xing divided Meituan's AI development into different stages. In the early stage, the company had already applied deep neural network algorithms in its food delivery route and dispatch systems. The current phase focuses on the development and deployment of large language models and their derivative applications. Facing fierce competition in the AI field, Meituan has carried out...

At the 2025 WWDC conference, Apple announced the opening of its artificial intelligence technology to the developer community, releasing the Foundation Models framework and upgraded Xcode26, marking a major breakthrough for Apple in the field of AI development tools. Foundation Models Framework: Privacy-Focused AI Integration Solution The new Apple Foundation Models framework provides developers with a centralized set of tools to directly embed Apple's self-developed AI models into applications.