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The Stanford Institute for Human-Centered Artificial Intelligence (HAI), led by renowned AI scientist Fei-Fei Li, has released its latest AI Index Report 2025. In its eighth year, this authoritative report highlights the narrowing performance gap between top AI models from China and the United States, the world's two most influential AI nations. The gap has shrunk to a negligible 0.3%, down from 17.5% in 2023. The report also features a ranking of Notable Models in 2024, with...

At the recent AI Action Summit held at the Grand Palais in Paris, Stanford researcher and founder of AI4Science, Fei-Fei Li, delivered the opening speech. Her address garnered widespread attention, addressing the regulation of artificial intelligence, commercial ecosystems, and its far-reaching societal impacts. Li emphasized that the future of AI should be built on a scientific foundation rather than exaggerated sci-fi narratives. She called on nations to invest in a healthier and more diverse AI ecosystem, asserting that the academic community and the public play a crucial role in this process.

Fei-Fei Li, a Stanford University computer scientist and founder of a startup, known as the 'Godmother of AI,' has proposed the 'three fundamental principles for future AI policy making' ahead of the upcoming Paris AI Action Summit next week. She emphasizes that AI policies must be based on 'science rather than science fiction.' Li believes that policymakers should focus on the realities of AI, rather than constructing grand future scenarios built on utopia or apocalyptic visions. She specifically points out that chatbots and co-pilot programs are not 'intelligent agents with intent, free will, or consciousness.'

Title: Artificial Intelligence "Pioneer" Fei-Fei Li Founders World Labs, Raises $230 Million! Recently, Stanford University professor and "AI Pioneer" Fei-Fei Li's new startup World Labs successfully raised $230 million, with investors including renowned venture capital firms Andreessen Horowitz, NEA, and Radical Ventures. This funding values World Labs at over $1 billion.

In the field of artificial intelligence, a mysterious startup named World Labs is gaining widespread attention. Founded by renowned Stanford AI professor Fei-Fei Li, the company has reportedly completed two rounds of financing in just two months.

World Labs, a startup founded by Stanford University AI professor Fei-Fei Li, has completed two rounds of funding in two months, reaching a valuation of over $1 billion and becoming a 'unicorn' company. The latest funding round was led by NEA, with a significant increase in valuation compared to the first round in April. World Labs is dedicated to developing AI models that can accurately estimate the three-dimensional physical properties of real-world objects and environments, aiming for detailed digital replication without the need for large-scale data collection, and is focused on addressing the scarcity of 3D data. The company's business model has not been validated by the market.

Renowned computer scientist Fei-Fei Li, often hailed as the "AI matriarch," has founded a startup called World Labs. According to the Financial Times, in just four months, its valuation has exceeded $1 billion.World Labs is dedicated to enabling AI with advanced reasoning capabilities by processing visual data in a similar manner to human cognition. The company's research is ongoing with the goal of making AI more human-like. Dr. Li is renowned for her contributions in the field of computer visi

Renowned AI expert Fei-Fei Li has established a startup called "World Labs" within just four months, which has quickly become a unicorn in the AI field. According to two insiders, World Labs is currently valued at over $1 billion and has completed two rounds of funding.Image source note: The image is generated by AI, provided by the image licensing service Midjourney The investment lineup is strong, including the famous venture capital firm Andreessen Horowitz (also known as a16z) and the AI-foc

Stanford's Fei-Fei Li team has released ZeroNVS, achieving scene-level full scene generation. They introduced a 3D perception diffusion model, ZeroNVS, to synthesize natural and diverse images. The researchers used metrics like LPIPS in their evaluations, achieving remarkable zero-shot performance. This achievement signifies that AI can generate 360-degree full scene images from a single image. The technology holds broad application prospects and will have a profound impact on fields such as virtual reality and game development.