Datasets:
PeterJBlake
/
model_test_new

Dataset card Data Studio Files
xet
 Community
1
URL
stringclasses
60 values
English_Sentence
stringlengths
1
870
⌀
Swahili_Sentence
stringlengths
1
3.49k
⌀
http://www.ted.com/talks/al_gore_warns_on_latest_climate_trends
(Laughter) Around Christmas, in my home in Tennessee, a billion gallons of coal sludge was spilled.
Huenda mliiona kwenye habari.
http://www.ted.com/talks/al_gore_warns_on_latest_climate_trends
You probably saw it on the news.
Hiki, nchini kote, ni kijito cha pili kwa ukubwa cha uchafu katika Marekani.
http://www.ted.com/talks/al_gore_warns_on_latest_climate_trends
This, all over the country, is the second largest waste stream in America.
Hii ilitokea karibu na Krismas.
http://www.ted.com/talks/al_gore_warns_on_latest_climate_trends
This happened around Christmas.
Moja ya matangazo kutoka kiwanda cha makaa ya mawe karibia Krismas lilikuwa hili, Bila bashasha Kaa-jiwe-mtu ni mchangamfu, akiishi kwa furaha.
http://www.ted.com/talks/al_gore_warns_on_latest_climate_trends
One of the coal industry's ads around Christmas was this one.
Anapatikana kwa wingi hapa Marekani, Na anasaidia uchumi wetu kukua.
http://www.ted.com/talks/al_gore_warns_on_latest_climate_trends
Video: ♪♫ Frosty the coal man is a jolly, happy soul.
Bila bashasha kaa–jiwe-mtu anakuwa safi kila siku, gharama yake ni ndogo na anapendwa, na watumishi wanabakiza malipo yao.
http://www.ted.com/talks/al_gore_warns_on_latest_climate_trends
He's abundant here in America, and he helps our economy grow.
Hiki ni chanzo cha kiasi kikubwa cha makaa ya mawe katika Virginia Magharibi Mchimbaji mkubwa kuliko wote ni mkuu wa kampuni ya makaa ya mawe ya Massey Ngoja niwe wazi kuhusu hiyo.
http://www.ted.com/talks/al_gore_warns_on_latest_climate_trends
Frosty the coal man is getting cleaner everyday.
Al Gore, Nancy Pelosi, Harry Reid, hawajui wanalozungumzia.
http://www.ted.com/talks/al_gore_warns_on_latest_climate_trends
He's affordable and adorable, and workers keep their pay.
Kwa hiyo Muungano wa Kulinda Tabia Nchi umezindua kampeni mbili.
http://www.ted.com/talks/al_gore_warns_on_latest_climate_trends
Al Gore: This is the source of much of the coal in West Virginia.
Hii ni mojawapo, sehemu ya mojawapo.
http://www.ted.com/talks/al_gore_warns_on_latest_climate_trends
The largest mountaintop miner is the head of Massey Coal.
Pale COALergy tunaona mabadiliko ya tabia nchi kama tishio kubwa kwa biashara zetu.
http://www.ted.com/talks/al_gore_warns_on_latest_climate_trends
Video: Don Blankenship: Let me be clear about it.
Ndio maana tumelifanya lengo letu la msingi kutumia kiasi kikubwa cha fedha katika juhudi za kutangaza kuweza kuuweka wazi na kwa ujumla wake uweki kuhusu makaa ya mawe.
http://www.ted.com/talks/al_gore_warns_on_latest_climate_trends
Al Gore, Nancy Pelosi, Harry Reid, they don't know what they're talking about.
Ukweli ni kuwa, makaa ya mawe sio uchafu.
http://www.ted.com/talks/al_gore_warns_on_latest_climate_trends
Al Gore: So the Alliance for Climate Protection has launched two campaigns.
Tunadhani ni safi – ina harufu nzuri, pia.
http://www.ted.com/talks/al_gore_warns_on_latest_climate_trends
This is one of them, part of one of them.
Hivyo msijali kuhusu mabadiliko ya tabia nchi.
http://www.ted.com/talks/al_gore_warns_on_latest_climate_trends
Video: Actor: At COALergy we view climate change as a very serious threat to our business.
Tuachie sisi.
http://www.ted.com/talks/al_gore_warns_on_latest_climate_trends
That's why we've made it our primary goal to spend a large sum of money on an advertising effort to help bring out and complicate the truth about coal.
(Kicheko) Makaa safi ya mawe, mmesikia mengi kuyahusu.
http://www.ted.com/talks/al_gore_warns_on_latest_climate_trends
The fact is, coal isn't dirty.
Hivyo hebu tutalii nyenzo yetu mahiri ya makaa safi ya mawe.
http://www.ted.com/talks/al_gore_warns_on_latest_climate_trends
We think it's clean — smells good, too.
Yashangaza! Mashine ni aina ya kelele.
http://www.ted.com/talks/al_gore_warns_on_latest_climate_trends
So don't worry about climate change.
Lakini hiyo ni sauti ya teknolojia ya makaa safi ya mawe.
http://www.ted.com/talks/al_gore_warns_on_latest_climate_trends
Leave that up to us.
Na wakati kuchoma makaa ya mawe ni moja ya sababu kuu za ongezeko la joto duniani, teknolojia ya kipekee ya makaa safi ya mawe mnayoona hapa inabadilisha kila kitu.
http://www.ted.com/talks/al_gore_warns_on_latest_climate_trends
(Laughter) Video: Actor: Clean coal — you've heard a lot about it.
Angalia kwa kirefu, hii ni teknolojia ya kisasa ya makaa safi ya mawe.
http://www.ted.com/talks/al_gore_warns_on_latest_climate_trends
So let's take a tour of this state-of-the-art clean coal facility.
Mwisho mbadala chanya Unaoana na changamoto zetu za kiuchumi na changamoto zetu za usalama wa taifa.
http://www.ted.com/talks/al_gore_warns_on_latest_climate_trends
Amazing! The machinery is kind of loud.
Marekani ipo katika mzozo, uchumi, Usalama wa taifa, mzozo wa tabia nchi.
http://www.ted.com/talks/al_gore_warns_on_latest_climate_trends
But that's the sound of clean coal technology.
Utando unaziunganisha zote, mazoea yetu ya nishati zitokanazo na ukaa, kama makaa ya mawe chafu na mafuta ya kigeni.
http://www.ted.com/talks/al_gore_warns_on_latest_climate_trends
And while burning coal is one of the leading causes of global warming, the remarkable clean coal technology you see here changes everything.
Lakini sasa kuna suluhisho mpya thabiti la kututoa katika vurugu hili.
http://www.ted.com/talks/al_gore_warns_on_latest_climate_trends
Take a good long look: this is today's clean coal technology.
Kuipa nguvu mpya Marekani kwa kuwa na umeme safi kwa asilimia 100, ndani ya miaka 10.
http://www.ted.com/talks/al_gore_warns_on_latest_climate_trends
Al Gore: Finally, the positive alternative meshes with our economic challenge and our national security challenge.
Mpango wa kuirejesha Marekani kazini, unatufanya tuwe salama, na unasaidia kusimamisha ongezeko la joto duniani.
http://www.ted.com/talks/al_gore_warns_on_latest_climate_trends
Video: Narrator: America is in crisis — the economy, national security, the climate crisis.
Mwisho, suluhisho lililo kubwa vya kutosha kusuluhisha matatizo yetu.
http://www.ted.com/talks/al_gore_warns_on_latest_climate_trends
The thread that links them all: our addiction to carbon based fuels, like dirty coal and foreign oil.
Kuipa nguvu mpya Marekani.
http://www.ted.com/talks/al_gore_warns_on_latest_climate_trends
But now there is a bold new solution to get us out of this mess.
Tafuta zaidi.
http://www.ted.com/talks/al_gore_warns_on_latest_climate_trends
Repower America with 100 percent clean electricity within 10 years.
Hii ni ya mwisho.
http://www.ted.com/talks/al_gore_warns_on_latest_climate_trends
A plan to put America back to work, make us more secure, and help stop global warming.
Inahusu kuipa nguvu mpya Marekani.
http://www.ted.com/talks/al_gore_warns_on_latest_climate_trends
Finally, a solution that's big enough to solve our problems.
Moja ya njia za haraka kupunguza utegemezi wetu kwenye nishati chafu ya kizamani inayoua sayari yetu.
http://www.ted.com/talks/al_gore_warns_on_latest_climate_trends
Repower America.
Mustakabali wetu upo hapa.
http://www.ted.com/talks/al_gore_warns_on_latest_climate_trends
Find out more.
Upepo, jua, nishati mpya ya gridi.
http://www.ted.com/talks/al_gore_warns_on_latest_climate_trends
Al Gore: This is the last one.
Uwekezaji mpya unaotengeneza ajira mpya zenye malipo makubwa.
http://www.ted.com/talks/al_gore_warns_on_latest_climate_trends
Video: Narrator: It's about repowering America.
Ipe nguvu mpya Marekani.
http://www.ted.com/talks/al_gore_warns_on_latest_climate_trends
One of the fastest ways to cut our dependence on old dirty fuels that are killing our planet.
Ni wakati wa kupata usahihi.
http://www.ted.com/talks/al_gore_warns_on_latest_climate_trends
Man: Future's over here.
Kuna methali ya kale ya Kiafrika isemayo, "Kama unataka kwenda haraka, nenda mwenyewe.
http://www.ted.com/talks/al_gore_warns_on_latest_climate_trends
Wind, sun, a new energy grid.
Kama unataka kwenda mbali, nenda pamoja.
http://www.ted.com/talks/al_gore_warns_on_latest_climate_trends
Man #2: New investments to create high-paying jobs.
" Tunataka kwenda mbali, kwa haraka.
http://www.ted.com/talks/al_gore_warns_on_latest_climate_trends
Narrator: Repower America.
Asanteni sana.
http://www.ted.com/talks/al_gore_warns_on_latest_climate_trends
It's time to get real.
(Makofi)
http://www.ted.com/talks/al_gore_warns_on_latest_climate_trends
Al Gore: There is an old African proverb that says, "If you want to go quickly, go alone.
null
http://www.ted.com/talks/al_gore_warns_on_latest_climate_trends
If you want to go far, go together.
null
http://www.ted.com/talks/al_gore_warns_on_latest_climate_trends
" We need to go far, quickly.
null
http://www.ted.com/talks/al_gore_warns_on_latest_climate_trends
Thank you very much.
null
http://www.ted.com/talks/al_gore_warns_on_latest_climate_trends
(Applause)
null
http://www.ted.com/talks/miguel_nicolelis_a_monkey_that_controls_a_robot_with_its_thoughts_no_really
The kind of neuroscience that I do and my colleagues do is almost like the weatherman.
Hii sayansi ya ubongo ninayofanya na wenzangu ni kama mtabiri wa hali ya hewa.
http://www.ted.com/talks/miguel_nicolelis_a_monkey_that_controls_a_robot_with_its_thoughts_no_really
We are always chasing storms.
Tunakimbizana na dhoruba kila wakati.
http://www.ted.com/talks/miguel_nicolelis_a_monkey_that_controls_a_robot_with_its_thoughts_no_really
We want to see and measure storms — brainstorms, that is.
Tunataka kuona na kupima dhoruba—namaanisha dhoruba za ubongo.
http://www.ted.com/talks/miguel_nicolelis_a_monkey_that_controls_a_robot_with_its_thoughts_no_really
And we all talk about brainstorms in our daily lives, but we rarely see or listen to one.
Sisi sote huongea kuhusu dhoruba za ubongo maishani mwetu lakini ni nadra kuona au kuisikia mojawapo.
http://www.ted.com/talks/miguel_nicolelis_a_monkey_that_controls_a_robot_with_its_thoughts_no_really
So I always like to start these talks by actually introducing you to one of them.
Hivyo basi mimi hupenda kuanza mazungumzo haya kwa kuwatambulisheni kwa mojawapo.
http://www.ted.com/talks/miguel_nicolelis_a_monkey_that_controls_a_robot_with_its_thoughts_no_really
Actually, the first time we recorded more than one neuron — a hundred brain cells simultaneously — we could measure the electrical sparks of a hundred cells in the same animal, this is the first image we got, the first 10 seconds of this recording.
Kusema kweli, mara yetu ya kwanza kupima zaidi ya neuron moja— seli za ubongo mia moja kwa wakati mmoja— tungeweza pima cheche za umeme za seli mia moja kutoka kwa mnyama mmoja, hii ndio picha ya kwanza tuliyopata, sekunde kumi za kwanza za rekodi hii.
http://www.ted.com/talks/miguel_nicolelis_a_monkey_that_controls_a_robot_with_its_thoughts_no_really
So we got a little snippet of a thought, and we could see it in front of us.
Sasa tukajaribu kufikiria, na tukaweza kuiona mbele yetu.
http://www.ted.com/talks/miguel_nicolelis_a_monkey_that_controls_a_robot_with_its_thoughts_no_really
I always tell the students that we could also call neuroscientists some sort of astronomer, because we are dealing with a system that is only comparable in terms of number of cells to the number of galaxies that we have in the universe.
mimi huwaambia wanafunzi kuwa tunaweza waita wanasayansi wa ubongo kama pia wataalam wa anga, kwa sababu tunakabiliana na mfumo ambao unalingana kwa ncha ya nambari ya viini na nambari za galaksi tulizo nazo ulimwenguni.
http://www.ted.com/talks/miguel_nicolelis_a_monkey_that_controls_a_robot_with_its_thoughts_no_really
And here we are, out of billions of neurons, just recording, 10 years ago, a hundred.
Kwa hivyo hapa ndipo tulipo, katika mabilioni ya neuroni, tukirekodi tu, miaka kumi iliyopita, alafu mia moja.
http://www.ted.com/talks/miguel_nicolelis_a_monkey_that_controls_a_robot_with_its_thoughts_no_really
We are doing a thousand now.
Sasa hivi tunarekodi hadi miaka elfu moja.
http://www.ted.com/talks/miguel_nicolelis_a_monkey_that_controls_a_robot_with_its_thoughts_no_really
And we hope to understand something fundamental about our human nature.
Na tunatumai kuelewa cha msingi kuhusu asili yetu ya kibinadamu.
http://www.ted.com/talks/miguel_nicolelis_a_monkey_that_controls_a_robot_with_its_thoughts_no_really
Because, if you don't know yet, everything that we use to define what human nature is comes from these storms, comes from these storms that roll over the hills and valleys of our brains and define our memories, our beliefs, our feelings, our plans for the future.
Kwa sababu, kama bado hujui, kila kitu tunachotumia kutambua asili ya binadamu kimetoka katika dhoruba hizi, katika dhoruba zishukazo kutoka milima na mabonde ya akili zetu na ambazo zinaeleza kumbukumbu zetu, imani zetu, hisia zetu, mipango yetu ya siku za usoni.
http://www.ted.com/talks/miguel_nicolelis_a_monkey_that_controls_a_robot_with_its_thoughts_no_really
Everything that we ever do, everything that every human has ever done, do or will do, requires the toil of populations of neurons producing these kinds of storms.
Kila kitu tunachofanya, kila kitu ambacho binadamu amekifanya, anakifanya ama atakifanya, kinahitaji bidii ya idadi kubwa ya neuroni zinazozalisha dhoruba hizi.
http://www.ted.com/talks/miguel_nicolelis_a_monkey_that_controls_a_robot_with_its_thoughts_no_really
And the sound of a brainstorm, if you've never heard one, is somewhat like this.
Na sauti ya dhoruba ya ubongo, kama hujawaisikia moja, huwa hivi.
http://www.ted.com/talks/miguel_nicolelis_a_monkey_that_controls_a_robot_with_its_thoughts_no_really
You can put it louder if you can.
Unaweza ongeza sauti kama waweza.
http://www.ted.com/talks/miguel_nicolelis_a_monkey_that_controls_a_robot_with_its_thoughts_no_really
My son calls this "making popcorn while listening to a badly-tuned A.
Mwanangu huiita "kutengeneza popcorn huku ukiskiza kituo cha redio kilichoegezwa vibaya.
http://www.ted.com/talks/miguel_nicolelis_a_monkey_that_controls_a_robot_with_its_thoughts_no_really
M.
" Huu ni ubongo.
http://www.ted.com/talks/miguel_nicolelis_a_monkey_that_controls_a_robot_with_its_thoughts_no_really
station.
Haya ndiyo yanayotokea unapoelekeza dhoruba hizi za umeme kwenye kipaza sauti na usikie seli mia moja vya ubongo vikirushwa, haya ndiyo yatakayosikika katika ubongo wako—ubongo wangu, na ubongo wowote.
http://www.ted.com/talks/miguel_nicolelis_a_monkey_that_controls_a_robot_with_its_thoughts_no_really
" This is a brain.
Kile tunachotaka kufanya kama wanasayansi ya ubongo katika wakati huu ni kuskiza kwa makini sauti hizi, sauti hizi za ubongo, na kujaribu kudondoa zile jumbe zinazobeba Haswa, takriban miaka kumi na mbili iliyopita tulitengeneza muundo tuliouita mashine ya akili.
http://www.ted.com/talks/miguel_nicolelis_a_monkey_that_controls_a_robot_with_its_thoughts_no_really
This is what happens when you route these electrical storms to a loudspeaker and you listen to a hundred brain cells firing, your brain will sound like this — my brain, any brain.
Na hapa una mpango unaoeleza vile inavyotumika.
http://www.ted.com/talks/miguel_nicolelis_a_monkey_that_controls_a_robot_with_its_thoughts_no_really
And what we want to do as neuroscientists in this time is to actually listen to these symphonies, these brain symphonies, and try to extract from them the messages they carry.
Lengo ni, tuwe na vitega hisia vinavyosikiza dhoruba hizi, vile umeme unavyozalishwa, na kuona kama inawezekana, kwa wakati huo huo wakati unaopita kabla ya dhoruba hii kutoka kwa akili na kufika kwenye miguu ama mikono ya mnyama kama nusu sekunde— wacha tuone kama tunaweza kusoma ishara hizi, kudondoa jumbe za ubongo ...
http://www.ted.com/talks/miguel_nicolelis_a_monkey_that_controls_a_robot_with_its_thoughts_no_really
In particular, about 12 years ago we created a preparation that we named brain-machine interfaces.
tuone kama tunaweza kupima ni vipi tunaweza tafsiri ujumbe huo vyema zaidi wakati tunapolinganisha na vile mwili unavyofanya kazi hio.
http://www.ted.com/talks/miguel_nicolelis_a_monkey_that_controls_a_robot_with_its_thoughts_no_really
And you have a scheme here that describes how it works.
Wakati tunapotoa maoni, viashiria hisia sasa iliyo chini ya udhibiti wa ubongo, hadi tena kwa ubongo, vile ubongo unavyokabiliana na kazi hiyo, ya kupokea jumbe kutoka mashine zilizoundwa na binadamu Na ndivyo haswa tulivyofanya miaka kumi iliyopita.
http://www.ted.com/talks/miguel_nicolelis_a_monkey_that_controls_a_robot_with_its_thoughts_no_really
The idea is, let's have some sensors that listen to these storms, this electrical firing, and see if you can, in the same time that it takes for this storm to leave the brain and reach the legs or the arms of an animal — about half a second — let's see if we can read these signals, extract the motor messages that are e...
Tulianza na nyani nyota kwa jina Aurora aliyekuwa nyota kwenye eneo hili.
http://www.ted.com/talks/miguel_nicolelis_a_monkey_that_controls_a_robot_with_its_thoughts_no_really
And see if we can measure how well we can translate that message when we compare to the way the body does that.
Na Aurora alipenda kucheza michezo ya kompyuta.
http://www.ted.com/talks/miguel_nicolelis_a_monkey_that_controls_a_robot_with_its_thoughts_no_really
And if we can actually provide feedback, sensory signals that go back from this robotic, mechanical, computational actuator that is now under the control of the brain, back to the brain, how the brain deals with that, of receiving messages from an artificial piece of machinery.
Mnavyoona hapa, anapenda kutumia kijiti, kama vile kila mmoja wetu, na watoto wetu, kucheza mchezo huu.
http://www.ted.com/talks/miguel_nicolelis_a_monkey_that_controls_a_robot_with_its_thoughts_no_really
And that's exactly what we did 10 years ago.
Kama mnyama mwerevu, anajaribu kudanganya kabla afikie jibu sahihi.
http://www.ted.com/talks/miguel_nicolelis_a_monkey_that_controls_a_robot_with_its_thoughts_no_really
We started with a superstar monkey called Aurora that became one of the superstars of this field.
Kwa hivyo kabla ya hatua anayopaswa kupita akitumia mshale anaodhibiti kwa kijiti, Aurora anajaribu kufikia hatua, popote ilipo.
http://www.ted.com/talks/miguel_nicolelis_a_monkey_that_controls_a_robot_with_its_thoughts_no_really
And Aurora liked to play video games.
Na anapofanya hivyo, kwa sababu kila wakati anapovuka hatua akitumia ule mshale mdogo, anapata tone la juisi ya machungwa.
http://www.ted.com/talks/miguel_nicolelis_a_monkey_that_controls_a_robot_with_its_thoughts_no_really
As you can see here, she likes to use a joystick, like any one of us, any of our kids, to play this game.
nakuambia, nyani yeyote atakufanyia chochote kama utampa tone la juisi ya machungwa.
http://www.ted.com/talks/miguel_nicolelis_a_monkey_that_controls_a_robot_with_its_thoughts_no_really
And as a good primate, she even tries to cheat before she gets the right answer.
Kwa kweli mnyama yeyote anaweza kufanya hivyo.
http://www.ted.com/talks/miguel_nicolelis_a_monkey_that_controls_a_robot_with_its_thoughts_no_really
So even before a target appears that she's supposed to cross with the cursor that she's controlling with this joystick, Aurora is trying to find the target, no matter where it is.
Hebu tafakari hayo.
http://www.ted.com/talks/miguel_nicolelis_a_monkey_that_controls_a_robot_with_its_thoughts_no_really
And if she's doing that, because every time she crosses that target with the little cursor, she gets a drop of Brazilian orange juice.
Hivyo basi, wakati Aurora alikuwa akicheza mchezo huu, vile mlivyoona, na kufanya majaribio elfu moja kwa siku na kupata asilimia tisini na saba sahihi na milimita mia tatu na hamsini za juisi ya machungwa, tunarekodi dhorubaza ubongo zitokazo kichwani mwake na kuzituma kwenye mkanda wa mashine unaotoa zile dhoruba has...
http://www.ted.com/talks/miguel_nicolelis_a_monkey_that_controls_a_robot_with_its_thoughts_no_really
And I can tell you, any monkey will do anything for you if you get a little drop of Brazilian orange juice.
Kwa sababu wazo lilikuwa ni kuwasha hii mashine ya ubongo na kuona Aurora akicheza mchezo ule kwa kufikiria tu, bila mwili wake kuingilia kati.
http://www.ted.com/talks/miguel_nicolelis_a_monkey_that_controls_a_robot_with_its_thoughts_no_really
Actually any primate will do that.
Dhoruba zake za akili zitadhibiti mkono utakaosogeza ule mshale na kuvuka hatua.
http://www.ted.com/talks/miguel_nicolelis_a_monkey_that_controls_a_robot_with_its_thoughts_no_really
Think about that.
Na kwa mshangao wetu, hivyo haswa ndivyo Aurora alifanya.
http://www.ted.com/talks/miguel_nicolelis_a_monkey_that_controls_a_robot_with_its_thoughts_no_really
Well, while Aurora was playing this game, as you saw, and doing a thousand trials a day and getting 97 percent correct and 350 milliliters of orange juice, we are recording the brainstorms that are produced in her head and sending them to a robotic arm that was learning to reproduce the movements that Aurora was making...
Alicheza mchezo huo bila kusogeza mwili wake.
http://www.ted.com/talks/miguel_nicolelis_a_monkey_that_controls_a_robot_with_its_thoughts_no_really
Because the idea was to actually turn on this brain-machine interface and have Aurora play the game just by thinking, without interference of her body.
Hivyo basi kila msogezo unaoona sasa kwenye kijiti hivyo ndivyo haswa alivyofanya mara ya kwanza.
http://www.ted.com/talks/miguel_nicolelis_a_monkey_that_controls_a_robot_with_its_thoughts_no_really
Her brainstorms would control an arm that would move the cursor and cross the target.
Hiyo ndiyo ilikuwa mara ya kwanza nia kwenye ubongo ilitolewa kutoka kwenye mwili wa nyani na iliweza kufanya kazi nje ya mwili, hapa ulimwengu wa nje, kwa kudhibiti mashine.
http://www.ted.com/talks/miguel_nicolelis_a_monkey_that_controls_a_robot_with_its_thoughts_no_really
And to our shock, that's exactly what Aurora did.
Na Aurora aliendelea kucheza mchezo huo, aliendelea kufikia ile hatua na kupata juisi ya machungwa aliyotaka, aliyotamani.
http://www.ted.com/talks/miguel_nicolelis_a_monkey_that_controls_a_robot_with_its_thoughts_no_really
She played the game without moving her body.
Kwa kweli, alifanya hivyo kwa sababu, wakati ule, yeye alipata mkono mpya.
http://www.ted.com/talks/miguel_nicolelis_a_monkey_that_controls_a_robot_with_its_thoughts_no_really
So every trajectory that you see of the cursor now, this is the exact first moment she got that.
Mkono ule wa roboti unaoona ukitembea hapa siku thelathini baadaye, baada ya ile video ya kwanza niliyowaonyesheni, uko chini ya udhibiti wa ubongo ya Aurora na unasongeza mshale ule ili kufikia ile hatua.
http://www.ted.com/talks/miguel_nicolelis_a_monkey_that_controls_a_robot_with_its_thoughts_no_really
That's the exact first moment a brain intention was liberated from the physical domains of a body of a primate and could act outside, in that outside world, just by controlling an artificial device.
Na Aurora sana anajua kuwa anaweza kucheza mchezo huu akitumia mkono mashine, lakini hajapoteza uwezo wa kutumia mkono wake asili kwa chochote angependa kufanya.
http://www.ted.com/talks/miguel_nicolelis_a_monkey_that_controls_a_robot_with_its_thoughts_no_really
And Aurora kept playing the game, kept finding the little target and getting the orange juice that she wanted to get, that she craved for.
Anaweza kujikuna mgongo, anaweza kukuna mmoja wetu, anaweza kucheza mchezo wowote mwingine.
http://www.ted.com/talks/miguel_nicolelis_a_monkey_that_controls_a_robot_with_its_thoughts_no_really
Well, she did that because she, at that time, had acquired a new arm.
Kwa nia zote na madhumuni, akili ya Aurora imehusisha kile kifaa bandia kama muendelezo wa mwili wake.
http://www.ted.com/talks/miguel_nicolelis_a_monkey_that_controls_a_robot_with_its_thoughts_no_really
The robotic arm that you see moving here 30 days later, after the first video that I showed to you, is under the control of Aurora's brain and is moving the cursor to get to the target.
Huu mfano wa ubinafsi ambao Aurora alikuwa nao kwa akili yake umepanuliwa kupata mkono mmoja zaidi.
http://www.ted.com/talks/miguel_nicolelis_a_monkey_that_controls_a_robot_with_its_thoughts_no_really
And Aurora now knows that she can play the game with this robotic arm, but she has not lost the ability to use her biological arms to do what she pleases.
Tulifanya hivyo miaka kumi iliyopita.
http://www.ted.com/talks/miguel_nicolelis_a_monkey_that_controls_a_robot_with_its_thoughts_no_really
She can scratch her back, she can scratch one of us, she can play another game.
Sasa songea mbele miaka kumi.
http://www.ted.com/talks/miguel_nicolelis_a_monkey_that_controls_a_robot_with_its_thoughts_no_really
By all purposes and means, Aurora's brain has incorporated that artificial device as an extension of her body.
Mwaka uliopita tu tuligundua kuwa huhutaji kuwa na kifaa cha mashine.
http://www.ted.com/talks/miguel_nicolelis_a_monkey_that_controls_a_robot_with_its_thoughts_no_really
The model of the self that Aurora had in her mind has been expanded to get one more arm.
Unaweza tu kutengeneza kifaa cha kompyuta.
http://www.ted.com/talks/miguel_nicolelis_a_monkey_that_controls_a_robot_with_its_thoughts_no_really
Well, we did that 10 years ago.
Na unaweza kuitumia kwa nyani zetu kuleta uhusiano kati yao ama unaweza wafunza kudhania ulimwengu gushi maono ya mtu kuhusiana na mashine ile na kutumia msisimko wa akili yake kudhibiti matembezi ya mikono na miguu ya mashine.