??–(BUSINESS WIRE)–(??????)–???????????????????(Kioxia Corporation)???????Memory-Centric AI????????Memory-Centric AI???????????????????????????????????,????????????????????;?????”?????”(catastrophic forgetting)???????????,?????????????????????????10?25?????????2022??????????(ECCV 2022)?????????????ECCV?????????????[1]?
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?????????????????????????,???????????????????????[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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