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OpenAI announced a major price cut of 80% for its flagship reasoning model o3 and simultaneously launched the high-performance o3-pro model. This move significantly reduces developer costs, triggering a new round of competition in the AI market. o3 Price Drop Significantly OpenAI has made significant adjustments to the pricing of the o3 model as follows: Input Tokens: Original price was $10 per million tokens, now reduced to $2 per million tokens. Output Tokens: Original price was $40 per million tokens, now reduced to $8 per million tokens. Cached Input Tokens: An additional 75% discount is provided.

According to Science and Technology Daily, the world's first generative artificial intelligence radiology system integrated into clinical processes developed by Northwestern University School of Medicine is revolutionizing medical imaging diagnostics. This system can identify life-threatening conditions within milliseconds, providing an innovative solution to the global shortage of radiologists. The AI system has been fully deployed in 12 hospitals affiliated with Northwestern University. In five months of actual application in 2024, the system successfully analyzed nearly 24,000 radiology reports, increasing report generation efficiency by an average of 15.5%, boosting work efficiency for some doctors.

Recently, tech giant NVIDIA, in collaboration with the Massachusetts Institute of Technology (MIT) and the University of Hong Kong, released a new framework called Fast-dLLM. This innovative framework aims to significantly increase the inference speed of diffusion models (Diffusion-based LLMs), up to 27.6 times, providing stronger technical support for AI applications. The challenges and opportunities of diffusion models make them strong competitors to traditional autoregressive models.

MegaT AI Search has launched a brand new Ultra-fast model, marking a significant breakthrough in its artificial intelligence search technology. Through innovative technical means, the response speed of MegaT AI Search has reached an amazing 400 tokens/second, ensuring that most questions can be answered within 2 seconds. This advancement not only enhances user experience but also significantly improves information retrieval efficiency. The realization of the Ultra-fast model is thanks to the application of multiple advanced technologies. The MegaT AI team has optimized on GPUs using ker

Recently, the Windows version of Sogou Input Method has undergone a major upgrade with the launch of the new AI Wanzai Quick Search function, providing users with a more efficient and convenient office and study experience. The AI Wanzai Quick Search function is characterized by its one-click trigger and fast response. Users no longer need to follow the traditional three-step search process of opening a browser👉🏻search engine👉🏻input content. They can directly type on any spot on the desktop or use the shortcut key Ctrl+Shift+Space”, which can summon the All-Purpose Quick Search” function within 0.5 seconds, allowing for faster information retrieval.

Recently, MiTA AI Search officially launched the new ultra-fast model, bringing users a more efficient and accurate search experience. The MiTA AI Search team successfully achieved a maximum response speed of 400 tokens/second on a single H800 GPU through kernel fusion technology on GPUs and dynamic compilation optimization strategies on CPUs, with most responses provided within 2 seconds.

Relyance AI announces its new solution—the Data Journeys platform—designed to tackle a key challenge in enterprise AI implementation: understanding data flow within complex systems. By providing unprecedented data flow visualization, the platform helps businesses achieve compliance in an increasingly stringent regulatory environment. Image Note: Image generated by AI, image licensing provided by Midjourney. Relyance AI's Chief...

Alibaba International has announced a significant increase in its recruitment efforts for Artificial Intelligence (AI) talent in its 2026 campus recruitment drive. Their official website indicates that AI-related positions account for 80% of this year's openings. This recruitment covers several key areas, including AI algorithms, research and development, and AI product management. This recruitment initiative is closely tied to Alibaba International's ongoing investment in the field of artificial intelligence. As a business group under Alibaba focusing on overseas e-commerce, Alibaba International has demonstrated significant achievements in technological innovation, successfully launching the world's first...

Baidu's deep learning platform, PaddlePaddle, recently announced the official release of its new generation framework, PaddlePaddle 3.0. This release introduces five core technological innovations, including "dynamic and static unified automatic parallelism," aiming to effectively reduce the development and training costs of large models and support the infrastructure construction of the large model era. As the core infrastructure supporting large model training and inference tasks, PaddlePaddle 3.0 demonstrates excellent performance optimization. The framework already supports multiple mainstream large models, including Wenxin 4.5 and Wenxin X1, and through optimization...