Yann LeCun 是 Meta 首席 AI 科学家,也是图灵奖得主。他最近在 2024 世界经济论坛上发表演讲时表示,目前广泛使用的生成模型并不适合处理视频数据。生成模型更适合处理图像,而对于视频理解问题,还没有非常明确的答案。但是 LeCun 认为,新的模型应该能够在抽象的表征空间中进行预测,而不是停留在像素空间。
LeCun 的观点值得业内人士深思。视频数据的处理一直是 AI 领域的难题。生成模型表现出色的同时也暴露出局限性。如何让 AI 更好地理解和处理视频,可能需要全新的方法与思路。业内人士期待 LeCun 等顶尖科学家能够提出切实可行的新思路。
Title: Turing Award winner denies generative models for video data processing
Keywords: Turing Award winner, generative model, video data
News content: Yann LeCun, Meta’s chief AI scientist and Turing Award winner, stated at the 2024 World Economic Forum that the widely used generative models are not suitable for video data processing. Generative models are more suitable for image processing, and there is no very clear answer to the problem of video understanding yet. However, LeCun believes that new models should be able to make predictions in abstract representation spaces, rather than staying in pixel spaces.
LeCun’s viewpoint is worth deep thought by industry insiders. The processing of video data has always been a difficult problem in the AI field. While generative models have performed outstandingly, they have also exposed limitations. How to enable AI to better understand and process videos may require completely new methods and ideas. Industry insiders look forward to practical new ideas from top scientists like LeCun.
【来源】https://mp.weixin.qq.com/s/sAWFkcTFfZVJ_oLKditqVA
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