Microsoft Launches Deep Research: Integration of Bing and OpenAI to Revolutionize Automated Research

AIbase基地

Published in AI News · 3 minute read · Jul 8, 2025

Microsoft recently launched an innovative tool called "Deep Research," which deeply integrates Bing search with OpenAI technology, aiming to automate complex research tasks. According to user tweets, the tool is based on o3-deep-research and demonstrates powerful information processing capabilities.

The workflow of Deep Research is efficient and intelligent. When a user poses a research question, the tool first uses GPT-4o or GPT-4.1 to interact with the user, clarifying the question to ensure accurate understanding of the requirements. After defining the scope of the task, Deep Research calls Bing Search to retrieve high-quality, up-to-date data from the web. Subsequently, o3-deep-research analyzes and synthesizes the information through step-by-step reasoning, ultimately generating a structured research report.

The report not only includes the answer but also features detailed reasoning processes, cited sources, and clarification records during the research, ensuring that the results are traceable and transparent. Additionally, Deep Research can be seamlessly integrated with other tools and agents from Azure AI Foundry, forming more complex workflows suitable for diverse research scenarios.

This tool's release marks a significant breakthrough for Microsoft in the field of automated research. By combining Bing's search capabilities with OpenAI's intelligent analysis, it provides users with efficient and reliable research solutions, helping to support in-depth exploration in academic, business, and other fields.

DLoRAL: Open-Source Video HD Enhancement Framework Developed by Hong Kong Polytechnic University and OPPO

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.

Geopolitical Tensions Impact: Global AI Server Shipments Expected to Decline Significantly

The growth rate of the global AI server market is slowing down, with the expected year-over-year growth rate dropping from 28% to 24.3%. Supply chain uncertainties have increased due to U.S. export controls and geopolitical factors. Despite continued investments by tech giants like Microsoft and Google in AI infrastructure, NVIDIA still dominates the market, but there is a clear trend of companies developing their own AI chips. Self-developed solutions such as Google's TPU are emerging, and companies are also exploring alternatives like AMD. While Blackwell Ultra servers are currently popular, the market outlook has become more complex due to external conditions.

Aliyun Open-Sources Network Agent WebSailor, Surpassing Numerous Closed-Source Models

Aliyun open-sources the network agent WebSailor. Its 32B and 72B versions performed well in the BrowseComp evaluation, surpassing multiple closed-source models, ranking just behind OpenAI DeepResearch. The project has been released on GitHub with construction plans and datasets, promoting open innovation in the AI field and providing developers with a smarter web interaction tool.

Apple Develops AI Agent to Assist Blind Individuals in Virtual Exploration of Street Scenes

Apple released SceneScout AI agent, which provides environmental descriptions for visually impaired individuals by analyzing street scene images. The technology includes two modes: route preview and virtual exploration, with an accuracy rate of 72%-95%. User studies showed that it effectively improves environmental awareness, while suggesting the addition of personalized descriptions and real-time feedback features. Although still in the research phase, it demonstrates the potential of AI in assisting visually impaired individuals with navigation.

Shanghai Issues 17 New Policies! Supporting the Growth of the Software and Information Services Industry, Excellent AI Projects Can Receive Up to 30% Subsidies!

Shanghai has introduced 17 measures to promote the high-quality development of the software and information services industry. From January to May 2023, the industry's revenue exceeded 690 billion yuan, representing a year-on-year growth of 20.4%. The policy highlights include rewards for enterprises with revenue exceeding 2 billion yuan and meeting growth targets; small and medium-sized enterprises can receive up to 30 million yuan in tiered rewards; small enterprises can receive growth rewards of 300,000 to 500,000 yuan. Priority is given to the AI field, with computing vouchers to reduce model application costs, and excellent AI projects can receive subsidies of up to 30%-50%. Meanwhile, it promotes the innovation and development of high-end software and digital content.