??–(BUSINESS WIRE)–(??????)–???????????????????(Kioxia Corporation)???????Memory-Centric AI????????Memory-Centric AI??????????????????????????????????,???????????????????;????????????(catastrophic forgetting)???????????,?????????????????????????10?25?????????2022?????????(ECCV 2022)?????????????ECCV????????????[1]?
???????????????????(weight)??????????,?????????????,??????????????,?????????????????????????????????????,????????????????????,?????????,??????????
???????????????????????,???????????????????????[2]??????????????????,??????????????????????(?1)??????????????????????????????????????????????????,????????????,??????????????
??,???????????????????????,?????????????????,???????????????[3]???????[4],???????????????????,??????????,?????????????????????
??????????????????,???????????????????,???Memory-Centric AI????????????,????????????????????????
??Memory-Centric AI
????:https://youtu.be/lw8XKhviGJc
Memory-Centric AI,????:????????????????????? https://brand.kioxia.com/en-jp/articles/article25.html
Memory-Centric AI,????:????:Memory-Centric AI?????? https://brand.kioxia.com/en-jp/articles/article26.html
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????????(ECCV)????????????????,ECCV????????????????????,???????????????????????????????????2.7%?
[1] Paper title: K. Nakata et. al., “Revisiting a kNN-based Image Classification System with High-capacity Storage”, European Conference on Computer Vision 2022 (ECCV 2022)(????:K. Nakata??,???????kNN??????????????,2022?????????)
[2] Image feature maps: multidimensional (e.g., 1,024-dimensional) numerical data obtained through neural network operations(?????:?????????????(?1,024?)????)
[3] Explainability of AI: possibly of explaining the basis and reasons of results predicted by AI in a way that can be interpreted by humans.(?????????:????????????????????????????)
[4] Black-box problem: the process leading to the results predicted by AI is not interpretable to humans, making it a black box problem.(????:????????????????????,?????????)
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