裴總彆虐了，藍院士要和你離婚了 第78章 白淺蘇的演講
回到家，藍羽推門時，玄關感應燈應聲亮起。
她摘下智慧手環隨意扔在玄關櫃上，金屬與玻璃碰撞出清脆聲響，驚飛了棲在陽台綠植上的機械蜂鳥——那是她少年時研發的初代作品，如今隻剩外殼在月光下泛著陳舊的銀灰色。
浴室蒸騰的水霧模糊了鏡麵，藍羽將水溫調到最高，任滾燙的水流衝刷著後頸。
裴硯琛替劉月切牛排的畫麵卻揮之不去，他握著刀叉的姿勢，指節泛白的力度裡藏著近乎偏執的溫柔。
是她曾經想都不敢想到事。
而此刻，這份溫柔隔著紅酒杯、隔著林敘白的談笑，刺得她眼眶發燙。
手機在洗手檯震動，是許柏年發來的合作細節補充檔案。
藍羽裹著浴巾點開，全息投影在氤氳水汽中亮起，跳動的資料卻逐漸扭曲成劉月腕間的四葉草手鏈。
她煩躁地揮散投影，水珠順著發梢滴落在鎖骨，突然想起裴硯琛曾說這處像盛著月光的小盅。
——
裴硯琛、劉月、雲熠乾和段紹陽四個人有一個小群，有什麼趣事或要事，隻要是和四個人有關的，他們會在群裡分享。
這天段紹陽突然甩了一個視訊進群。
劉月看到了:“”
她不明白段紹陽的意思。
段紹陽說“視訊裡是白淺蘇10歲的時候做的演講。”
劉月興奮地說:“真的嗎？我先看看。”
Ladies
and
gentlemen,
dear
colleagues!
女士們、先生們，親愛的同行們！
my
name
is
bai
qiansu.
我叫白淺蘇。
I
am
very
grateful
for
the
opportunity
to
municate
with
you
about
the
development
trends
of
artificial
intelligence
at
harvard
University,
this
academic
institution
full
of
an
academic
atmosphere.
我非常感謝能有機會在哈佛大學，這座充滿學術氛圍的學府，與大家交流人工智慧的發展趨勢。
As
someone
who
has
been
deeply
engaged
in
the
study
of
technology
for
many
years,
I
have
witnessed
the
development
of
artificial
intelligence
up
close
and
am
fascinated
by
its
potential.
作為多年來一直深入研究技術的人，我近距離見證了人工智慧的發展，並對其潛力深感著迷。
In
recent
years,
artificial
intelligence
has
made
significant
progress,
especially
in
the
fields
of
deep
learning
and
machine
learning.
近年來，人工智慧取得了重大進展，特彆是在深度學習和機器學習領域。
Neural
networks
such
as
convolutional
neural
networks
(cNNs)
and
recurrent
neural
networks
(RNNs)
have
made
it
possible
to
identify
plex
patterns
in
image,
audio
data,
and
text.
像卷積神經網路（cNNs）和迴圈神經網路（RNNs）這樣的神經網路，使識彆影象、音訊資料和文字中的複雜模式成為可能。
thanks
to
a
special
type
of
RNN
algorithm
called
long
short-term
memory
(LStm),
models
are
able
to
efficiently
handle
long-term
dependencies
in
time
series
data,
which
is
crucial
for
applications
such
as
language
translation
and
time
series
prediction.
得益於長短期記憶網路（LStm）這種特殊型別的RNN演算法，模型能夠高效處理時間序列資料中的長期依賴關係，這在語言翻譯和時間序列預測等應用中至關重要。
the
development
of
generative
adversarial
networks
(GANs)
has
also
sparked
a
revolution
in
the
field
of
artificial
intelligence.
生成對抗網路（GANs）的發展也在人工智慧領域引發了一場革命。
A
generative
adversarial
network
consists
of
a
generator
that
produces
artificial
data
and
a
discriminator
that
distinguishes
between
real
and
artificial
data.
一個生成對抗網路由一個生成人工資料的生成器和一個區分真實資料與人工資料的判彆器組成。
through
the
mutual
learning
and
petition
between
these
two
ponents,
highly
realistic
images,
videos,
and
even
music
can
be
generated.
通過這兩個元件的相互學習和競爭，可以生成高度逼真的影象、視訊，甚至音樂。
however,
artificial
intelligence
not
only
brings
about
technological
progress
but
also
poses
challenges.
然而，人工智慧不僅帶來了技術進步，也帶來了挑戰。
when
developing
artificial
intelligence
systems,
ethical
and
responsible
issues
should
always
be
taken
seriously
by
us.
在開發人工智慧係統時，倫理和責任問題始終應被我們重視。
we
must
ensure
that
algorithms
are
fair
and
do
not
cause
discrimination.
我們必須確保演算法是公平的，不會造成歧視。
In
addition,
when
artificial
intelligence
systems
process
massive
amounts
of
data,
we
also
need
to
consider
how
to
protect
privacy.
此外，當人工智慧係統處理海量資料時，我們也需要思考如何保護隱私。
I
firmly
believe
that
artificial
intelligence
will
achieve
even
greater
things
in
the
future.
我堅信，人工智慧在未來還將有更大的作為。
with
the
development
of
technologies
such
as
edge
puting,
data
processing
will
be
carried
out
as
close
to
the
source
as
possible,
which
will
significantly
improve
the
response
speed
of
artificial
intelligence
applications.
隨著邊緣計算等技術的發展，資料處理將儘可能在源頭進行，這將顯著提高人工智慧應用的響應速度。
the
integration
of
artificial
intelligence
with
Internet
of
things
(Iot)
devices
will
make
our
lives
more
convenient
and
efficient.
人工智慧與物聯網（Iot）裝置的整合，將使我們的生活更加便捷和高效。
I
look
forward
to
future
developments
and
will
continue
to
delve
into
these
fascinating
technologies.
我期待未來的發展，並將繼續鑽研這些迷人的技術。
thank
you
all
for
listening,
and
I
am
looking
forward
to
having
a
lively
discussion
with
you!
感謝大家的聆聽，我期待與大家展開熱烈的討論！
台下響起熱烈的掌聲，然後視訊就結束了。