Unknown

Dataset Information

0

Towards artificial general intelligence via a multimodal foundation model.


ABSTRACT: The fundamental goal of artificial intelligence (AI) is to mimic the core cognitive activities of human. Despite tremendous success in the AI research, most of existing methods have only single-cognitive ability. To overcome this limitation and take a solid step towards artificial general intelligence (AGI), we develop a foundation model pre-trained with huge multimodal data, which can be quickly adapted for various downstream cognitive tasks. To achieve this goal, we propose to pre-train our foundation model by self-supervised learning with weak semantic correlation data crawled from the Internet and show that promising results can be obtained on a wide range of downstream tasks. Particularly, with the developed model-interpretability tools, we demonstrate that strong imagination ability is now possessed by our foundation model. We believe that our work makes a transformative stride towards AGI, from our common practice of "weak or narrow AI" to that of "strong or generalized AI".

SUBMITTER: Fei N 

PROVIDER: S-EPMC9163040 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature

altmetric image

Publications

Towards artificial general intelligence via a multimodal foundation model.

Fei Nanyi N   Lu Zhiwu Z   Gao Yizhao Y   Yang Guoxing G   Huo Yuqi Y   Wen Jingyuan J   Lu Haoyu H   Song Ruihua R   Gao Xin X   Xiang Tao T   Sun Hao H   Wen Ji-Rong JR  

Nature communications 20220602 1


The fundamental goal of artificial intelligence (AI) is to mimic the core cognitive activities of human. Despite tremendous success in the AI research, most of existing methods have only single-cognitive ability. To overcome this limitation and take a solid step towards artificial general intelligence (AGI), we develop a foundation model pre-trained with huge multimodal data, which can be quickly adapted for various downstream cognitive tasks. To achieve this goal, we propose to pre-train our fo  ...[more]

Similar Datasets

| S-EPMC9613950 | biostudies-literature
| S-EPMC11403354 | biostudies-literature
| S-EPMC7231759 | biostudies-literature
| S-EPMC8613222 | biostudies-literature
| S-EPMC11625234 | biostudies-literature
| S-EPMC9489871 | biostudies-literature
| S-EPMC9474277 | biostudies-literature
| S-EPMC6959309 | biostudies-literature
| S-EPMC7846613 | biostudies-literature
| S-EPMC7325005 | biostudies-literature