Search AI Products and News

AMD Ryzen AI Max+395 upgrades to support 128B-parameter local AI models, requiring 128GB RAM (96GB VRAM). Runs 109B-parameter models like Meta Llama4Sout at 15 tokens/sec with 256K context length. MoE architecture enables efficient processing. 128GB AI workstations now priced at ~$1,800.....

OWL team open-sourced Eigent, a multi-agent collaboration tool based on CAMEL and OWL frameworks. It enhances complex task efficiency via parallel sub-task processing, supports multiple LLMs and data integration, and promotes community development with modular design and standardized protocols.....

Kunlun open-sources Skywork UniPic, a 1.5B-parameter multimodal model integrating image understanding, generation, and editing. It unifies multimodal tasks with end-to-end pretraining, offering strong performance comparable to larger models.....

Volcano Ark launches SeedEdit3.0, an AI image editor featuring voice-controlled editing. Based on Seedream3.0, it handles 10MP images with precise detail adjustments while preserving backgrounds. Excels in natural language understanding for complex edits like text replacement and day-night conversion. Applications include design, e-commerce, watermark removal, photo restoration, and style transfer, lowering editing barriers.....

Kunlun Wildfire releases the open-source multimodal pre-training model Skywork UniPic, integrating three functions: image understanding, text-to-image generation, and image editing. The model uses an autoregressive training approach, trained on large-scale high-quality data, and has strong generalization and transfer capabilities. Its open-source nature facilitates secondary innovation by developers and can be widely applied in content creation and industry scenarios. This is a significant move by Kunlun Wildfire in the AI field, which will promote the development and popularization of multimodal technology.

Li Auto launches i8, a 6-seat electric SUV with Pro/Max/Ultra variants (¥321,800-369,800), delivering Aug 20. Features: dual-motor AWD, 5C battery (670-720km range), LiDAR, VLA AI system, 9 airbags. Offers 3 interior colors, 20-inch wheels, ¥10k discount.....

Alibaba's Qwen team released Qwen3-30B-A3B-Instruct-2507, a 3B-parameter model rivaling Gemini2.5-Flash and GPT-4o. It excels in multilingual tasks, long-context processing, and benchmarks, with some metrics surpassing GPT-4o. Now available on ModelScope and HuggingFace.....

On July 30, Kunlun Infinite officially launched and open-sourced the autoregressive multi-modal unified pre-training model Skywork UniPic. The model integrates three core capabilities - image understanding, text-to-image generation, and image editing - in a single architecture. It demonstrates excellent generality and transferability through end-to-end pre-training on large-scale high-quality data.

CAS-SIAT's HYPIR model restores 8K images in 1.7s with advanced text reconstruction, outperforming traditional methods through optimized algorithms. Applied in photo restoration and heritage conservation.....

Google upgrades the Imagen4 image generation model. Imagen4Ultra ranks third globally in authoritative rankings, with performance close to GPT-4o and Seedream3.0. The new version significantly improves image details, realism, and style consistency, and handles complex prompts more accurately. It has a clear price advantage, with the standard version at $40 per thousand images and the Ultra version at $60 per thousand images, far lower than GPT-4o's $167. The generation speed is 9.5 seconds per image, faster than GPT-4o but slightly slower than Seedream3.

Google's NotebookLM introduces video summaries, converting complex info into narrated slides. It auto-generates videos from user-uploaded images/charts. Demoed at I/O 2025, the feature will roll out gradually. Currently English-only, multilingual support planned.....

Shenzhen Institute develops HYPIR model, restoring old photos to 8K in 1.7s with AI, advancing image processing for heritage and film restoration.....

Shenzhen Leju Robotics has secured a new round of funding, with its registered capital increased to 2.27 million yuan, and investors including Dongfang Jinggong. The company, established in 2016, has accumulated over tens of millions in financing. It has transitioned from educational robots to the industrial field. Its Aelos educational robot has been adopted by more than 4,000 schools. In 2023, it launched a humanoid robot based on open-source HarmonyOS, and collaborated with Huawei Cloud and China Mobile to develop 5G-A robots, enhancing application capabilities in industrial scenarios. The company plans to deliver 1,000 humanoid robots by 2025, addressing labor shortages in manufacturing and promoting intelligent production.

The Douchou Gynecology Large Model, trained by Yisheng Jankang on the DingTalk AI platform, passed the national gynecology and obstetrics senior professional examination, becoming the first clinical-level medical AI developed by a start-up company in China. The model was trained in just over a month, achieving an accuracy rate of 90.2%, marking a breakthrough from prototype to professional application. The CTO of DingTalk stated that this verifies the platform's ability to support enterprises in building customized large models, providing a model for AI development in industries such as healthcare and education. The Douchou model will be initially applied in scenarios such as gynecological knowledge Q&A and clinical decision support, promoting the implementation of vertical field AI solutions.

Mistral AI released a large language model environmental assessment report, revealing challenges in the sustainable development of AI technology. The report shows that 85.5% of carbon emissions and 91% of water consumption are concentrated in the training and inference phases. 18 months of operation produced 20.4 tons of carbon dioxide and consumed 281,000 cubic meters of water. A single interaction of 400 tokens produces 1.14 grams of carbon emissions and 45 milliliters of water consumption. The company acknowledges the limitations of the study, such as hardware performance evaluation, but the data align with industry assessments. Mistral calls for increased industry transparency and commits to updates.

China Mobile launched the Jiutian foundational large model 3.0 at the 2025 World Artificial Intelligence Conference, achieving three major breakthroughs: 1) The Jiutian Zhongqing Language Large Model adopts a trillion-parameter MoE architecture, improving reasoning capabilities by 35%, and leading globally in evaluations such as GPQA; 2) The Jiutian Shanzhi Multimodal Large Model innovates spatiotemporal modeling technology, significantly enhancing image and video generation and understanding capabilities; 3) An open-source strategy is implemented, with specialized models and evaluation systems for mathematics, coding, and other areas released to promote industry ecosystem development. The model features high security and full domestication, demonstrating China's strength.

Shanghai AI Lab releases the open-source scientific multimodal large model Intern-S1, surpassing existing top models in scientific research fields such as chemistry and materials. The model has cross-modal scientific analysis capabilities, able to interpret complex data such as molecular formulas and protein structures, and also launches a dedicated scientific discovery platform called Intern-Discovery. Intern-S1 will promote the development of multi-agent disease research systems and continue to open-source to support scientific progress.

Ant Group announced the financial reasoning large model Agentar-Fin-R1 at the World Conference on Artificial Intelligence. Built upon Alibaba's Tongyi Qianwen, the model focuses on the professionalism and security of the financial industry. It has shown excellent performance in evaluations such as FinEval1.0, offering 32B and 8B parameter versions. CEO Zhao Wenbiao pointed out that financial large models are key to the integration of AI and finance, and a corpus covering six major categories and 66 subcategories of financial scenarios has been built. The model is currently applied in a bank's AI mobile banking app, leading to a 25% increase in monthly active users.

Step Star releases the next generation Step 3 large model, which will be open-sourced on July 31st. This 321B parameter multi-modal reasoning model performs outstandingly in intelligence and reasoning efficiency, supporting cross-domain knowledge understanding and visual analysis. The company has established the Model Chip Ecosystem Innovation Alliance in cooperation with chip manufacturers and reached a strategic cooperation with Shanghai State Capital, promoting the application of large models. Step 3 achieves 300% reasoning efficiency of competing products on domestic chips, with over 70% improvement in throughput, and has established a 1+N model matrix covering multiple fields. The model has achieved SOTA on multiple rankings.

Waymo announced that it will launch an autonomous taxi service in Dallas next year, marking another key city deployment following Los Angeles and San Francisco. The company has formed a strategic partnership with Avis Budget Group, which will handle the charging and maintenance of the all-electric Jaguar I-Pace fleet. Waymo has completed preliminary testing in Dallas and plans to gradually expand its fleet to hundreds of vehicles. Currently, Waymo is operating commercially in five U.S. cities and plans to expand to Washington D.C. and Miami next year. This collaboration