American scientists recently published significant research findings in the journal Nature: the artificial intelligence model FastGlioma, jointly developed by the University of Michigan and the University of California, San Francisco, can quickly assess the presence of cancerous tumor residue within ten seconds during brain tumor surgeries, bringing a revolutionary breakthrough to neurosurgery. This innovation combines microscopic optical imaging with AI foundational models. The research team utilized over 11,000 surgical samples and 4 million microscopic images for pre-training, employing the University of Michigan's self-developed stimulated Raman tissue imaging technology.

Beijing ZhiYuan Artificial Intelligence Research Institute, in collaboration with Renmin University of China's Gaoqing School of Artificial Intelligence, has launched an innovative AI model framework called MemoRAG. This framework, based on long-term memory, aims to advance Retrieval-Augmented Generation (RAG) technology to handle more complex tasks beyond simple question answering.

CloudFlare has launched the Firewall for AI, a firewall specifically developed for AI. The AI firewall mainly serves enterprises deploying AI models and acts as a WAF to intercept potential vulnerabilities and illegal exploitations. The AI firewall guards against MDoS attacks by reducing risks through rate limiting.

Talking Tom stated that the company is cooperating with OpenAI, Google, and others to utilize artificial intelligence models for content creation. The company has already used tools like Pika to produce video materials and is exploring the fields of marketing and animation production. AI tools similar to Sora will help the company create rich experience AI application products and services more efficiently and at a lower cost. In the video field, this will help reduce the cost of anime video production while improving content quality and efficiency.

IBM is launching the Watsonx.Governance toolkit to help enterprises and governments establish trust in generative AI. Watsonx provides a suite of tools for managing risks, enhancing transparency, and forecasting future AI regulatory compliance. By using Watsonx, enterprises can automate AI governance processes and monitor and manage their models.

👍Large models drive work automation: The article mentions that by 2030-2060, nearly all types of work will be automated by artificial intelligence. 👍Knowledge work benefits the most: Large models have the greatest impact on knowledge work, which was previously regarded as having low automation potential. 🔥Wide application prospects: Industries such as sales, marketing, software development, and customer operations are the most suitable for large model applications.