technology
kē jì
科技
University of Cambridge
Jianqiao Daxue
剑桥大学
to develop
yanfa
研发
brain-inspired
fang nao
仿脑
chip
xinpian
芯片
can make
ke shi
可使
artificial intelligence
rengong zhineng
人工智能
energy consumption
nenghao
能耗
to reduce
jiangdi
降低
70 percent
qi cheng
七成
United Kingdom
Yingguo
英国
University of Cambridge
Jianqiao Daxue
剑桥大学
(possessive particle)
de
的
researchers
yanjiu renyuan
研究人员
developed
kaifa chu
开发出
a type of
yi zhong
一种
to mimic
mofang
模仿
human brain
ren nao
人脑
to operate
yunzuo
运作
(modifying particle)
de
的
nano-
nami
纳米
electronic
dianzi
电子
device
qijian
器件
can reduce
ke jiang
可将
artificial intelligence
rengong zhineng
人工智能
system
xitong
系统
energy consumption
nenghao
能耗
to reduce
jiangdi
降低
approximately
yue
约
70 percent
70%
70%
April 29, 2026 at 8:00 AM
United Kingdom
Yingguo
英国
University of Cambridge
Jianqiao Daxue
剑桥大学
(possessive particle)
de
的
researchers
yanjiu renyuan
研究人员
developed
kaifa chu
开发出
a type of
yi zhong
一种
bio-inspired
fangsheng
仿生
nano-
nami
纳米
electronic
dianzi
电子
device
qijian
器件
inspiration
lingan
灵感
derived from
laiyuanyu
来源于
human brain
ren nao
人脑
to process
chuli
处理
information
xinxi
信息
(modifying particle)
de
的
way / method
fangshi
方式
this type of
zhe zhong
这种
device
qijian
器件
to adopt / to use
caiyong
采用
through
jinguo
经过
improved
gailiang
改良
(modifying particle)
de
的
hafnium oxide
yanghuaha
氧化铪
thin film
bomo
薄膜
to be able to
nenggou
能够
simultaneously
tongbu
同步
to process
chuli
处理
and
bing
并
to store
cunchu
存储
data
shuju
数据
compared to
yu
与
conventional
chuantong
传统
chip
xinpian
芯片
different
butong
不同
this type of
zhe zhong
这种
device
qijian
器件
does not need
wuxu
无需
between
zai
在
processor
chuliqi
处理器
and
yu
与
memory
cunchuqi
存储器
between
zhijian
之间
back and forth
lailai
来回
to transmit
chuanshu
传输
data
shuju
数据
thereby
congr
从而
significantly
dafu
大幅
to reduce
jianshao
减少
energy
nengliang
能量
loss / consumption
sunhao
损耗
tests
ceshi
测试
to show
xianshi
显示
new type
xinxing
新型
device
qijian
器件
(possessive particle)
de
的
switching
kaiguan
开关
electric current
dianliu
电流
compared to
bi
比
certain
mouxie
某些
conventional
chuantong
传统
oxide-based
yanghuawu
氧化物
memristor
cunchuqi
存储器
lower
di
低
approximately one million times
yue yi bai wan bei
约一百万倍
researchers
yanjiu renyuan
研究人员
to state
biaoshi
表示
the (formal)
gai
该
technology
jishu
技术
is expected to
youwan
有望
(future marker)
jiang
将
artificial intelligence
rengong zhineng
人工智能
systems
xitong
系统
(possessive particle)
de
的
overall
zhengti
整体
energy consumption
nenghao
能耗
to reduce
jiangdi
降低
as much as
duoda
多达
70 percent
70%
70%
related
xiangguan
相关
research
yanjiu
研究
results / findings
chengguo
成果
has been published
yi fabiao
已发表
in
yu
于
academic
xueshu
学术
journal
qikan
期刊
Science Advances (journal)
Science Advances
Science Advances
as / with
suizhe
随着
artificial intelligence
rengong zhineng
人工智能
data centers
shuju zhongxin
数据中心
energy consumption
nenghao
能耗
continuously
chixu
持续
to climb
pansheng
攀升
low power consumption
di gonghao
低功耗
chips
xinpian
芯片
(possessive particle)
de
的
research and development
yanfa
研发
is attracting
zheng yinfa
正引发
the industry
yejie
业界
widespread
guangfan
广泛
attention
guanzhu
关注