擁有嗅覺的電腦:Intel 神經形態晶片能 - 3C
By Carol
at 2020-03-18T11:58
at 2020-03-18T11:58
Table of Contents
擁有嗅覺的電腦:Intel 神經形態晶片能夠嗅出有害化學物質
https://benchlife.info/intel-loihi-press-releases/
在《自然機器智慧》(Nature Machine Intelligence)期刊上共同發表的一篇論文中,Int
el 實驗室和康乃爾大學的研究人員展示英特爾神經形態研究晶片「Loihi」,在明顯的干擾
和阻絕情況下學習和辨識有害化學物質的能力。Loihi 僅透過單一樣本就學會各種氣味,同
時不會破壞先前所習得的氣味記憶。與包括深度學習解決方案在內的傳統先進辨識方法相比
,Loihi 展現出更高的識別準確率,傳統先進辨識方法的解決方案需要增加 3,000 倍的訓
練樣本才能達到相同的分類精準度等級。
Intel 神經形態運算實驗室資深研究科學家 Nabil Imam 表示:「Intel 正在 Loihi 上開
發神經演算法,模仿人們在聞到氣味後的大腦運作模式。這項工作是神經科學和人工智慧交
會的當代研究典範,並證明 Loihi 具備提供重要感測功能的潛力,可望使各個產業受惠。
」
Intel 和康乃爾大學的研究人員使用一種從大腦嗅覺迴路的架構和動力學所得出的神經演算
法,對 Intel Loihi 神經形態研究晶片進行訓練,以學習和辨識 10 種有害化學物質的氣
味。為了完成這項訓練,研究團隊使用由 72 個化學感測器的活動所組成的資料集以回應這
些氣味,並在 Loihi 上配置了生物嗅覺的電路圖。即使在明顯的阻絕之下,Loihi 晶片仍
可快速學習各種氣味的神經表徵並進行識別,展現出神經科學和人工智慧相輔相成的發展前
景。
聞一聞AMD 真臭
--
https://benchlife.info/intel-loihi-press-releases/
在《自然機器智慧》(Nature Machine Intelligence)期刊上共同發表的一篇論文中,Int
el 實驗室和康乃爾大學的研究人員展示英特爾神經形態研究晶片「Loihi」,在明顯的干擾
和阻絕情況下學習和辨識有害化學物質的能力。Loihi 僅透過單一樣本就學會各種氣味,同
時不會破壞先前所習得的氣味記憶。與包括深度學習解決方案在內的傳統先進辨識方法相比
,Loihi 展現出更高的識別準確率,傳統先進辨識方法的解決方案需要增加 3,000 倍的訓
練樣本才能達到相同的分類精準度等級。
Intel 神經形態運算實驗室資深研究科學家 Nabil Imam 表示:「Intel 正在 Loihi 上開
發神經演算法,模仿人們在聞到氣味後的大腦運作模式。這項工作是神經科學和人工智慧交
會的當代研究典範,並證明 Loihi 具備提供重要感測功能的潛力,可望使各個產業受惠。
」
Intel 和康乃爾大學的研究人員使用一種從大腦嗅覺迴路的架構和動力學所得出的神經演算
法,對 Intel Loihi 神經形態研究晶片進行訓練,以學習和辨識 10 種有害化學物質的氣
味。為了完成這項訓練,研究團隊使用由 72 個化學感測器的活動所組成的資料集以回應這
些氣味,並在 Loihi 上配置了生物嗅覺的電路圖。即使在明顯的阻絕之下,Loihi 晶片仍
可快速學習各種氣味的神經表徵並進行識別,展現出神經科學和人工智慧相輔相成的發展前
景。
聞一聞AMD 真臭
--
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