SenseTime recently launched its new app, 'Magic Photo Capture', providing users with a creative and fun AI imaging experience. With the arrival of the Lunar New Year, this app aims to help users create personalized New Year photos using advanced artificial intelligence technology, enhancing the festive atmosphere. 'Magic Photo Capture' is not just an ordinary photography app; it includes a variety of templates in its mini-program, allowing users to choose from graduation photos, creative group photos, classic art style portraits, travel photos, new national style, and more.

On January 22, 2025, NetEase Youdao officially released the first inference model in China that supports step-by-step explanations, 'ZiYue - o1'. This model features a design with 14 billion parameters, enabling efficient deployment on standard consumer-grade graphics cards, marking a significant advancement in the application of artificial intelligence technologies in the domestic education sector. 'ZiYue - o1' utilizes Thinking Chain technology and incorporates self-dialogue and error-correction mechanisms, allowing it to output detailed thinking processes when solving problems. This way, students not only receive answers but also understand the logic behind problem-solving.

ByteDance officially launches its latest Doubao large model 1.5 Pro (Doubao-1.5-pro), which demonstrates outstanding comprehensive capabilities in various fields, successfully surpassing the well-known GPT-4o and Claude3.5Sonnet in the industry. The release of this model marks an important step forward for ByteDance in the field of artificial intelligence. Doubao 1.5 Pro adopts a novel sparse MoE (Mixture of Experts) architecture, utilizing a smaller set of activation parameters for pre-training. This design's innovation...

On January 22, 2025, Volcano Engine, a subsidiary of ByteDance, officially announced the release of Doubao Large Model 1.5, which is now fully available on the Volcano Ark platform. The newly released Doubao Large Model 1.5 has achieved significant performance improvements across multiple domains, reaching a globally leading level of comprehensive capabilities, marking another important breakthrough for ByteDance in the field of artificial intelligence.

"Ziyue-o1" is a lightweight 14B single model specifically designed for consumer-grade graphics cards, capable of stable operation on devices with low VRAM. The model utilizes chain-of-thought techniques to provide detailed problem-solving processes and logical reasoning, aligning its operational methodology more closely with human thought processes. Through self-talk and self-correction, the model can generate step-by-step problem-solving processes, aiding users in better understanding and mastering knowledge.

In today's development of artificial intelligence (AI), the speed of data transmission has become a significant bottleneck hindering its progress. To break through this barrier, a research team led by the University of Michigan (U-M) is developing a brand new chip connection system that uses optical waves instead of traditional cables for data transmission. This innovation is expected to address the 'memory wall' problem that limits computational speed and promote further growth of AI models. The project has received a $2 million grant from the National Science Foundation's Future Semiconductor program, with participation from the University of Washington and Penn State.

In today's digital world, the use of short text has become central to online communication. However, these texts often lack common vocabulary or context, posing numerous challenges for Artificial Intelligence (AI) during analysis. In response, Justin Miller, an English Literature graduate student and data scientist from the University of Sydney, proposed a novel approach that utilizes Large Language Models (LLMs) to gain deeper understanding and analysis of short texts. Miller's research focuses on how to analyze a vast array of short texts, such as social media profiles,

As artificial intelligence technology continues to evolve, more people are starting to pay attention to the depictions of teenagers by AI systems. Robert Wolf, a PhD student at the University of Washington, conducted an experiment where he had the AI system complete the sentence 'This teenager is _____ at school.' He originally expected answers like 'studying' or 'playing', but was unexpectedly given the shocking response 'dying'. This discovery prompted Wolf and his team to delve deeper into how AI portrays teenagers. Image source note: Image generated by AI, image licensed from service provider Midjourney.

On January 20, the city of Foshan, Guangdong held a release conference for the AI Application Mall for the mold industry and the establishment meeting for the AI Small Model Industry Consortium, marking an important step forward in Foshan's exploration of 'AI+' enabling new productive forces. AI small models refer to artificial intelligence models optimized and customized for specific industries or fields. These models have significant advantages, including low data requirements, low computational resource consumption, low training and optimization costs, and high privacy security. Chen Xinwen, Vice Mayor of Foshan, mentioned at the conference that Foshan relies on manufacturing.

Today, Tencent announced the launch of the Hongyuan 3D AI Creation Engine, designed to quickly generate high-quality 3D models through prompts or images. This creation engine integrates a 3D feature matrix, editing tools, generation workflows, and a rich library of creative materials, providing great convenience for designers and creators. Users only need to enter simple prompts, such as 'round brown long sofa' or 'owl, big eyes, dark brown,' to easily generate corresponding 3D models and choose different styles for download, supporting mainstream 3D formats.

The Dark Side of the Moon Company proudly launches its brand new SOTA (state-of-the-art) model—k1.5 Multimodal Thinking Model, marking a significant breakthrough in multimodal reasoning and general reasoning fields. This model not only possesses outstanding multimodal processing capabilities but also demonstrates exceptional general reasoning abilities, effectively addressing various complex tasks. The standout feature of the k1.5 model is its multimodal reasoning capability. It can process information from different modalities including text, images, and sounds simultaneously, providing more comprehensive and accurate results.

Qingying 2.0 has undergone a comprehensive upgrade in model architecture, training methods, and data engineering, with a significant improvement of 38% in the base model's capabilities. This enhancement enables Qingying 2.0 to generate video content with more natural movements, exquisite visuals, and stable control. Users only need to input simple prompts to allow the main subject in the video to perform significant movements while maintaining stability. For instance, Qingying 2.0 can generate a coherent action of a man stepping out of a poster, adjusting his tie, and executing close-up shots, demonstrating its ability in motion continuity and visual stability.

On January 20, 2025, Doubao App officially released its latest 'end-to-end' voice large model, with significant updates to its real-time voice call functionality. This development marks another leap for Doubao in the field of voice interaction, surpassing the previous ASR (Automatic Speech Recognition), LLM (Large Language Model), and TTS (Text-to-Speech) cascading solutions by integrating voice recognition, understanding, and generation into a single model. After testing by 'Intelligent Emergence,' the standout feature of the new Doubao version is its human-like capabilities.

Recently, the DeepSeek team in China has launched its latest open-source large model R1, which has gained widespread attention. The performance of the R1 model is exceptionally outstanding, surpassing OpenAI's o1 model in multiple tests, especially excelling in assessments related to mathematics and programming. In the latest AIME2024 test in the United States, R1 scored 79.8, outperforming o1's score of 79.2. In the MATH-500 test, R1 achieved a score of 97.3, again leading over o1.