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Tencent's X-Omni AI model integrates reinforcement learning to unify image generation and understanding, outperforming rivals in text rendering and visual tasks without classifier guidance.....

The paper by Dr. Liang Wenfeng's team at DeepSeek in collaboration with Peking University has won the ACL 2025 Best Paper Award. This research proposes the Native Sparse Attention (NSA) mechanism, which achieves algorithm-hardware co-optimization through three parallel attention branches: compression, selection, and sliding. It improves the processing speed of long texts by 11 times and outperforms traditional full-attention models. NSA supports a context length of up to 1 million tokens, achieving an 11.6 times decoding speed improvement on 64k text, and a 27B parameter model demonstrates excellent performance on multiple benchmark tests.

Anthropic's AI service Claude has formed a deep collaboration with the design platform Canva, launching a text-to-visual design feature. After users upload written content, the system can automatically identify and generate visual works that match the brand style, offering multiple template choices. This feature significantly lowers the design barrier, helping individual bloggers and corporate marketers quickly create professional visual content and enhance their communication effectiveness. This collaboration marks a new breakthrough in AI within the creative field, and it is expected to bring more innovative design experiences in the future.

iFlytek's upgraded Spark X1 model enhances translation, reasoning, and text generation, achieving top-tier global performance with 20% better translation quality. It scores over 80 in EN-CN conference translation, reduces AI hallucinations, and boosts efficiency for 100+ firms by 50%. Available via web, app, and API.....

The Meta research team introduced an innovative architecture called AU-Net, breaking through the limitations of traditional tokenization techniques. The model learns directly from bytes, dynamically combining bytes into hierarchical sequence representations through a self-regressive U-Net structure. Its contracting path compresses bytes into semantic units, while the expanding path restores information and fuses details, with skip connections preserving local features. A multi-stage pooling strategy is used to extract semantics at the word and phrase levels, and multi-linear upsampling optimizes information fusion. The self-regressive generation mechanism ensures text coherence and significantly improves inference efficiency. This architecture

On July 22, Tencent HuanYuan announced that its self-developed ASR (Speech Recognition) large model has been officially applied to the ima platform, achieving voice input functionality on mobile app interfaces for the first time, offering users a convenient experience of 'speaking fluently'. Users can now directly input questions or record inspirations through voice, without manually typing on the keyboard, greatly improving input efficiency. Tencent HuanYuan's ASR large model stands out with its keen auditory perception and intelligent understanding capabilities, accurately recognizing speech even in complex environments, capable of recognizing 300 words per minute, which is faster than

NVIDIA's Canary-Qwen-2.5B sets a 5.63% WER record on Hugging Face OpenASR. This CC-BY licensed model combines FastConformer encoder with Qwen3-1.7B LLM decoder for efficient speech-to-text and NLP. Supports multi-GPU deployment for cloud/edge applications.....

CASIC introduces Stream-Omni, a multimodal model supporting text, vision, and speech. It uses targeted alignment to reduce data dependency, excels in cross-modal tasks, and offers open-source resources.....

Recently, the French AI laboratory Kyutai announced the official open source of its new text-to-speech model, Kyutai TTS, providing global developers and researchers with a high-performance, low-latency speech synthesis solution. This breakthrough release not only promotes the development of open-source AI technology but also opens up new possibilities for multilingual voice interaction applications. AIbase provides an exclusive analysis of this technological highlight and its potential impact. Ultra-low latency, a new experience in real-time interaction. Kyutai TTS has become an industry standout with its exceptional performance.

The TEN Agent team recently announced that its core models **TEN Voice Activity Detection (VAD)** and **TEN Turn Detection** are now open source, providing powerful technical support for building real-time, multimodal speech AI agents. This move marks a significant advancement in the TEN framework's efforts to promote the democratization and open-source collaboration of speech interaction technology. The following is the latest information compiled by AIbase, offering an in-depth analysis of these two core models.

Recently, a speech synthesis model called Qwen-TTS has made new progress, with its latest version update completed through the Qwen API, bringing users a richer speech synthesis experience. In this update, Qwen-TTS added support for three Chinese dialects: Beijing dialect, Shanghai dialect, and Sichuan dialect, further expanding its application scenarios. The model is trained on a large-scale corpus of more than 3 million hours, achieving naturalness and expressiveness at a human level. Qwen-TTS can not only accurately

Recently, AI technology leader Runway announced the upcoming launch of its new generative AI platform, "Game Worlds." This innovative product marks Runway's successful expansion from the film industry into the gaming sector, offering creators and players a brand-new interactive experience. "Game Worlds": An AI-Driven Interactive Text Adventure. The Runway Game Worlds platform is built on generative AI, allowing users to create and experience text-based adventure games with simple text input. Compared to traditional...

Recently, Google officially launched its latest text-to-image model **Imagen4** through the Gemini API, marking an important milestone in the field of generative AI (AIGC). According to Google's official blog and community feedback, Imagen4 has achieved breakthroughs in generating text within images, solving a long-standing technical bottleneck in AIGC, and providing developers with a tool for creating high-quality visual content. It is reported that the model comes in two versions: **Imagen4** and **Imagen4Ultra**, with respective pricing details yet to be fully disclosed.