The sciences of biological and artificial intelligence are ever more intertwined. Neural computational principles inspire new intelligent machines, which are in turn used to advance theoretical understanding of the brain. To promote further exchange of ideas and collaboration between biological and artificial intelligence researchers, we introduce the 2023 installment of the Algonauts Project challenge: How the Human Brain Makes Sense of Natural Scenes (http://algonauts.csail.mit.edu). This installment prompts the fields of artificial and biological intelligence to come together towards building computational models of the visual brain using the largest and richest dataset of fMRI responses to visual scenes, the Natural Scenes Dataset (NSD). NSD provides high-quality fMRI responses to ~73,000 different naturalistic colored scenes, making it the ideal candidate for data-driven model building approaches promoted by the 2023 challenge. The challenge is open to all and makes results directly comparable and transparent through a public leaderboard automatically updated after each submission, thus allowing for rapid model development. We believe that the 2023 installment will spark symbiotic collaborations between biological and artificial intelligence scientists, leading to a deeper understanding of the brain through cutting-edge computational models and to novel ways of engineering artificial intelligent agents through inductive biases from biological systems.

翻译：生物智能与人工智能科学正日益交织。神经计算原理启发新型智能机器，而后者又被用于推动对大脑的理论理解。为促进生物智能与人工智能研究者之间的思想交流与合作，我们推出2023年度Algonauts项目挑战赛：人脑如何理解自然场景（http://algonauts.csail.mit.edu）。本届挑战赛旨在推动人工智能与生物智能领域共同构建视觉脑计算模型，采用迄今规模最大、最丰富的视觉场景fMRI响应数据集——自然场景数据集（NSD）。NSD提供了约73,000种不同自然彩色场景的高质量fMRI响应数据，是本届挑战赛所倡导的数据驱动模型构建方法的理想基准。该挑战赛面向所有人开放，通过自动更新每次提交结果的公开排行榜实现成果的直接对比与透明化，从而支持模型的快速迭代。我们相信，2023年度挑战赛将激发生物智能与人工智能科学家的共生协作，借助前沿计算模型深化对大脑的理解，并基于生物系统的归纳偏置开辟人工智能体工程化的新路径。