ABOUT THE SPEAKER
Blaise Agüera y Arcas - Software architect
Blaise Agüera y Arcas works on machine learning at Google. Previously a Distinguished Engineer at Microsoft, he has worked on augmented reality, mapping, wearable computing and natural user interfaces.

Why you should listen

Blaise Agüera y Arcas is principal scientist at Google, where he leads a team working on machine intelligence for mobile devices. His group works extensively with deep neural nets for machine perception and distributed learning, and it also investigates so-called "connectomics" research, assessing maps of connections within the brain.

Agüera y Arcas' background is as multidimensional as the visions he helps create. In the 1990s, he authored patents on both video compression and 3D visualization techniques, and in 2001, he made an influential computational discovery that cast doubt on Gutenberg's role as the father of movable type.

He also created Seadragon (acquired by Microsoft in 2006), the visualization technology that gives Photosynth its amazingly smooth digital rendering and zoom capabilities. Photosynth itself is a vastly powerful piece of software capable of taking a wide variety of images, analyzing them for similarities, and grafting them together into an interactive three-dimensional space. This seamless patchwork of images can be viewed via multiple angles and magnifications, allowing us to look around corners or “fly” in for a (much) closer look. Simply put, it could utterly transform the way we experience digital images.

He joined Microsoft when Seadragon was acquired by Live Labs in 2006. Shortly after the acquisition of Seadragon, Agüera y Arcas directed his team in a collaboration with Microsoft Research and the University of Washington, leading to the first public previews of Photosynth several months later. His TED Talk on Seadragon and Photosynth in 2007 is rated one of TED's "most jaw-dropping." He returned to TED in 2010 to demo Bing’s augmented reality maps.

Fun fact: According to the author, Agüera y Arcas is the inspiration for the character Elgin in the 2012 best-selling novel Where'd You Go, Bernadette?

More profile about the speaker
Blaise Agüera y Arcas | Speaker | TED.com
TED2010

Blaise Agüera y Arcas: Augmented-reality maps

Prezentarea hartilor de realitate augmentata a lui Baise Aguera y Arcas

Filmed:
1,856,682 views

Intr-o demonstratie care a lasat oameni cu gura cascata la TED2010, Blaise Aguera y Arcas ne prezinta noua technologie de mapare in realitate augmentata de la Microsoft.
- Software architect
Blaise Agüera y Arcas works on machine learning at Google. Previously a Distinguished Engineer at Microsoft, he has worked on augmented reality, mapping, wearable computing and natural user interfaces. Full bio

Double-click the English transcript below to play the video.

00:15
About a yearan and a halfjumătate agoîn urmă,
0
0
2000
Acum un an jumatate
00:17
StephenŞtefan LawlerLawler, who alsode asemenea gavea dat a talk
1
2000
3000
Stepher Lawler, care a avut o prezentare
00:20
here at TEDTED in 2007 on VirtualVirtual EarthPământ,
2
5000
2000
aici la TED in 2007 despre Pamantul Virtual
00:22
broughtadus me over to becomedeveni the architectarhitect of BingBing MapsHărţi,
3
7000
4000
m-a adus ca arhitect al Bing Maps (hartilor Bing) (n.t. Bing - motor de cautare de la Microsoft)
00:26
whichcare is Microsoft'sMicrosoft online-mappingonline de cartografiere effortefort.
4
11000
3000
care reprezinta efortul Microsoft de a crea harti online.
00:29
In the pasttrecut two and a halfjumătate, we'vene-am been very hardgreu at work
5
14000
2000
In ultimii 2 ani si jumatate, am lucrat din greu
00:31
on redefiningredefinirea the way mapshărţi work onlinepe net.
6
16000
4000
pentru a redefini cum functioneaza hartile online.
00:35
And we really are seeingvedere this in very differentdiferit termstermeni
7
20000
2000
Si chiar vedem asta in termeni diferiti
00:37
from the kinddrăguț of mappingcartografiere and directiondirecţie siteteren
8
22000
2000
fata de modul de mapare si siteul de directionare
00:39
that one is used to.
9
24000
2000
cu care suntem obisnuiti.
00:41
So, the first thing that you mightar putea noticeînștiințare about the mappingcartografiere siteteren
10
26000
2000
Asadar, primul lucru pe care puteti sa il observati pe site-ul de mapare,
00:43
is just the fluidityfluiditate of the zoomingzoom-ul and the panningpanning,
11
28000
2000
este fluiditatea cu care se poate face zoom si efectele de miscare laterala
00:45
whichcare, if you're familiarfamiliar at all with SeadragonSeadragon,
12
30000
2000
care, daca sunteti familiari cu Seadragon,(n.t Technologie de la Microsoft de zoom pentru website-uri)
00:47
that's where it comesvine from.
13
32000
2000
de acolo vine.
00:49
MappingCartografiere is, of coursecurs,
14
34000
2000
Maparea este, evident,
00:51
not just about cartographycartografie,
15
36000
2000
nu doar despre cartografiere,
00:53
it's alsode asemenea about imageryimagini.
16
38000
2000
este si despre imagine.
00:55
So, as we zoom-inZoom-in beyonddincolo a certainanumit levelnivel
17
40000
3000
Asadar, pe masura ce facem zoom dupa un anumit nivel,
00:58
this resolvesrezolvă into a kinddrăguț of SimSIM City-likeCity-ca
18
43000
3000
se ajunge la un fel de vizualizare de tip Sim City(n.t joc de realitate virtuala cu orase)
01:01
virtualvirtual viewvedere at 45 degreesgrade.
19
46000
2000
la un unghi de 45 de grade.
01:03
This can be viewedau văzut from any of the cardinalCardinalul directionsdirectii
20
48000
2000
Aceasta poate fi vazuta din oricare punct cardinal
01:05
to showspectacol you the 3D structurestructura of the cityoraș, all the facadesfatade.
21
50000
3000
pentru a vedea structura 3D a orasului, si toate fatadele.
01:08
Now, we see this spacespaţiu, this three-dimensionaltri-dimensională environmentmediu inconjurator,
22
53000
6000
Acum, vedem acest spatiu, acest mediu tridimensional
01:14
as beingfiind a canvaspânză on whichcare
23
59000
3000
ca fiind panza pe care
01:17
all sortsfelul of applicationsaplicații can playa juca out,
24
62000
6000
pot sa se desfasoare tot felul de aplicatii.
01:23
and map'shartă pe directionsdirectii are really just one of them.
25
68000
3000
Iar directionarile pe harta sunt doar una dintre ele.
01:26
If you clickclic on this, you'llveți see
26
71000
3000
Daca apasati pe asta veti vedea
01:29
some of the onescele that we'vene-am put out, just in the pasttrecut couplecuplu of monthsluni
27
74000
3000
unele dintre cele pe care le-am scos doar un ultimele doua luni,
01:32
sincede cand we'vene-am launcheda lansat.
28
77000
2000
de cand ne-am lansat.
01:34
So, for exampleexemplu, a couplecuplu of dayszi after the disasterdezastru in HaitiHaiti,
29
79000
2000
Asadar, de exemplu, la cateva zile de la dezastrul din Haiti,
01:36
we had an earthquakecutremur mapHartă that showeda arătat
30
81000
2000
aveam o harta a cutremurului care arata
01:38
before and after picturespoze from the skycer.
31
83000
2000
poze dinainte si de dupa, luate din aer.
01:40
This wonderfulminunat one whichcare I don't have time to showspectacol you
32
85000
2000
Una dintre aceste minunate lucruri pe care nu am timp sa vi le arat
01:42
is takingluare hyper-localHyper-local blogsbloguri in realreal time
33
87000
3000
este sa iei blogurile hiper locale in timp real
01:45
and mappingcartografiere those storiespovestiri, those entriesintrări
34
90000
2000
si sa pui pe harta acele povesti, acele referiri
01:47
to the placeslocuri that are referredmenționate to on the blogsbloguri.
35
92000
2000
la locurile din povestirile de pe blog.
01:49
It's wonderfulminunat.
36
94000
3000
Este minunat.
01:52
But I'm going to showspectacol you some more candybomboane sortfel of stuffchestie.
37
97000
3000
Dar am sa va arat ceva cam ca cireasa de pe tort.
01:55
So, we see the imageryimagini, of coursecurs,
38
100000
4000
Asadar, vedem imaginea desigur,
01:59
not stoppingoprire at the skycer.
39
104000
3000
dar nu ne limitam la cer.
02:02
These little greenverde bubblesbule representreprezinta
40
107000
3000
Aceste bulinute verzi reprezinta
02:05
photosynthsphotosynths that usersutilizatori have madefăcut.
41
110000
2000
photosynth-uri(n.t colaje de poze utilizand technologia Photosynth de la Microsoft) facute de utilizatori.
02:07
I'm not going to divepicaj into them eitherfie, but photosynthsphotosynths are integratedintegrat into the mapHartă.
42
112000
3000
Nu o sa ma arunc nici in ele, dar photosynth-urile sunt integrate in harta.
02:10
Everything that's casedîncasetată cu percutare excentrică in bluealbastru
43
115000
2000
Tot ce este incastrat in albastru
02:12
is an areazonă where we'vene-am takenluate imageryimagini on the groundsol as well.
44
117000
5000
reprezinta zona pe care am facut imagini si la nivelul solului.
02:17
And so, when you flya zbura down --
45
122000
2000
Si astfel, cand zbori in jos --
02:19
(ApplauseAplauze)
46
124000
2000
(Aplauze)
02:21
Thank you. When you flya zbura down to the groundsol,
47
126000
2000
Multumesc. Cand zbori pana la sol,
02:23
and you see this kinddrăguț of panoramicvedere panoramică imageryimagini,
48
128000
3000
si vezi o asemenea imagine panoramica,
02:26
the first thing that you mightar putea noticeînștiințare is that it's not just a pictureimagine,
49
131000
4000
primul lucru pe care ai putea sa il observi este ca nu este doar imaginea,
02:30
there's just as much three-dimensionaltri-dimensională understandingînţelegere of this environmentmediu inconjurator
50
135000
3000
exista atat de multa intelegere asupra mediului tridimensional
02:33
as there is of the three-dimensionaltri-dimensională cityoraș from abovede mai sus,
51
138000
3000
precum exista si asupra orasului tridimensional de deasupra,
02:36
so if I clickclic on something to get a closermai aproape viewvedere of it,
52
141000
4000
incat daca apasati pe ceva pentru a primi o imagine mai de aproape,
02:40
then, the factfapt that that transitiontranziție looksarată as it does,
53
145000
3000
atunci, faptul ca acea tranzitie arata asa,
02:43
is a functionfuncţie of all of that geometrygeometrie,
54
148000
2000
este o functie a intregii geometii,
02:45
all of that 3D understandingînţelegere behindin spate this modelmodel.
55
150000
4000
toata acea intelegere 3D din spatele acestui model.
02:49
Now, I'll showspectacol you a fundistracţie appaplicaţia
56
154000
3000
Acum, o sa va arat o aplicatie haioasa
02:52
that -- we'vene-am been workinglucru on a collaborationcolaborare with our friendsprieteni at FlickrFlickr.
57
157000
7000
la care am lucrat in colaborare cu prietenii nostrii de la Flickr. (n.t website baza de date de fotografii)
02:59
This takes FlickrFlickr, georegisteredgeoregistered imageryimagini
58
164000
3000
Aceasta ia imaginea geoinregistrata de Flicker
03:02
and usesutilizări photosynth-likePhotosynth-ca processesprocese
59
167000
3000
si utilizeaza procesele asemanatoare photosynth-ului
03:05
to connectconectați that imageryimagini to our imageryimagini, so --
60
170000
4000
pentru a conecta acea imagine cu imaginea noastra, asadar--
03:09
I'm not sure if that's the one I actuallyde fapt meanta însemnat to pullTrage up, but --
61
174000
3000
nu stiu daca aceasta este cea pe care vroiam sa v-o arat, dar--
03:12
(LaughterRâs)
62
177000
3000
(rasete)
03:15
But noticeînștiințare -- this is, of coursecurs, a popularpopular touristturist siteteren,
63
180000
4000
Dar observati-- acesta este, evident, un loc popular pentru turisti,
03:19
and there are lots of photosfotografii around here,
64
184000
2000
si sunt o multime de fotografii pe aici,
03:21
and these photosfotografii are all takenluate at differentdiferit timesori.
65
186000
3000
iar aceaste sunt facute la diferite momente.
03:24
So this one was takenluate around fivecinci.
66
189000
2000
Aceasta a fost facuta in jurul orei 5.
03:26
So that's the FlickrFlickr photofotografie,
67
191000
2000
Deci aceasta este poza de pe Flicker,
03:28
that's our imageryimagini.
68
193000
2000
aceasta este imaginea noastra.
03:30
So you really see how this kinddrăguț of crowd-sourcedmulţime provenind imageryimagini
69
195000
3000
Deci vedeti cum acest fel de imagine cu surse din multime
03:33
is integratingintegrarea, in a very deepadâncime way, into the mapHartă itselfîn sine.
70
198000
3000
este integrata, intr-un mod foarte profund, in harta insasi,
03:36
(ApplauseAplauze)
71
201000
2000
(aplauze)
03:38
Thank you.
72
203000
2000
Va multumesc.
03:40
(ApplauseAplauze)
73
205000
2000
(aplauze)
03:42
There are severalmai mulți reasonsmotive why this is interestinginteresant
74
207000
2000
Sunt mai multe motive de ce asta este interesant
03:44
and one of them, of coursecurs, is time travelvoiaj.
75
209000
2000
iar unul dintre ele este, evident, calatoria in timp.
03:46
And I'm not going to showspectacol you some of the wonderfulminunat historicistoric imageryimagini in here,
76
211000
2000
Si nu o sa va arat cateva imagini minunate din istorie,
03:48
but there are some with horsescai and carriagescăruciori de copil and so on as well.
77
213000
3000
dar sunt si cativa cai si calesti si asa mai departe, de asemenea.
03:51
But what's coolmisto about this is that, not only is it augmentingde creștere a
78
216000
3000
Dar ce este interesant despre asta este ca, nu doar mareste
03:54
this visualvizual representationreprezentare of the worldlume
79
219000
2000
reprezentarea vizuala asupra lumii
03:56
with things that are comingvenire in from usersutilizatori,
80
221000
3000
utilizand lucruri care vin de la utilizatori,
03:59
but it alsode asemenea is the foundationfundație for augmentedaugmented realityrealitate,
81
224000
4000
dar de asemenea este baza pentru realitatea augmentata,
04:03
and that's something that I'll be showingarătând you more of in just a momentmoment.
82
228000
3000
si asta este ceea ce urmeaza sa va arat in doar un moment.
04:06
Now I just madefăcut a transitiontranziție indoorsîn interior. That's alsode asemenea interestinginteresant.
83
231000
4000
Am facut in acest moment o tranzitie in interior. Si asta e interesant.
04:10
OK, noticeînștiințare there's now a roofacoperiş abovede mai sus us.
84
235000
2000
Bine, observati ca acum avem un acoperis deasupra capului.
04:12
We're insideinterior the PikeStiuca PlaceLoc MarketPiata.
85
237000
3000
Suntem in Piata Pike Place
04:15
And this is something that we're ablecapabil to do with a backpackrucsac cameraaparat foto,
86
240000
2000
Si acest lucru putem sa il facem cu o camera de rucsac,
04:17
so, we're now not only imagingimagistica in the streetstradă
87
242000
4000
asadar, nu doar cream imaginea strazii
04:21
with this cameraaparat foto on topstopuri of carsautoturisme,
88
246000
2000
cu aceasta camera pe acoperisul masinilor,
04:23
but we're alsode asemenea imagingimagistica insideinterior.
89
248000
4000
dar de asemenea cream imaginea inauntru.
04:27
And from here, we're ablecapabil to do the samela fel sortsfelul of registrationînregistrare,
90
252000
5000
Si de aici, putem sa facem tot felul de registrari,
04:32
not only of still imagesimagini, but alsode asemenea of videovideo.
91
257000
4000
nu doar de imagini statice, ci si video.
04:36
So this is something that we're now going to try
92
261000
2000
Deci acesta este un lucru pe care il vom incerca acum
04:38
for the first time, livetrăi,
93
263000
2000
pentru prima data, in direct,
04:40
and this is really, trulycu adevărat, very frighteningînfricoşător.
94
265000
3000
si aceasta este intr-adevar, foarte inspaimantator.
04:43
(LaughterRâs)
95
268000
2000
(rasete)
04:46
OK.
96
271000
2000
Bine.
04:48
(RingingDe apel)
97
273000
2000
(suna)
04:50
All right, guys, are you there?
98
275000
2000
Bine baieti, sinteti acolo?
04:52
(NoiseZgomot)
99
277000
2000
(zgomot)
04:54
All right. I'm hittinglovind it. I'm punchingstantare playa juca.
100
279000
2000
Bine. Apas. Apas pe pornire.
04:56
I'm livetrăi. All right. There we go.
101
281000
2000
Sunt live. Bine, Iata!
04:58
So, these are our friendsprieteni in PikeStiuca PlaceLoc MarketPiata, the lablaborator.
102
283000
5000
Deci, acestia sunt prietenii nostrii in Piata Pike Market, laboratorul.
05:03
(ApplauseAplauze)
103
288000
8000
(aplauze)
05:12
So they're broadcastingradiodifuziune this livetrăi.
104
297000
2000
Deci ei transmit in direct.
05:14
OK, GeorgeGeorge, can you pantigaie back over to the cornercolţ marketpiaţă?
105
299000
4000
Bine, George, poti sa reintorci imaginea asupra coltului de piata?
05:18
Because I want to showspectacol pointspuncte of interestinteres.
106
303000
4000
Pentru ca vreau sa arat locuri de interes.
05:22
No, no. The other way.
107
307000
3000
Nu, nu. In cealalta directie.
05:25
Yeah, yeah, back to the cornercolţ, back to the cornercolţ.
108
310000
2000
Asa, asa, inapoi in colt. Inapoi in colt.
05:27
I don't want to see you guys yetinca.
109
312000
3000
Nu vreau sa va vad pe voi inca.
05:31
OK, OK, back to the cornercolţ, back to the cornercolţ, back to the cornercolţ.
110
316000
6000
Bine. Bine. Inapoi in colt. Inapoi in colt. Inapoi in colt.
05:37
OK, never mindminte.
111
322000
2000
Bine, lasa.
05:40
What I wanted to showspectacol you was these pointspuncte of interestinteres
112
325000
2000
Ceea ce vroiam sa va atat erau aceste locuri de interes
05:42
over here on toptop of the imageimagine
113
327000
2000
aici deasupra imaginii
05:44
because what that gives you a sensesens of is the way,
114
329000
2000
pentru ca asta va da senzatia ca si cand
05:46
if you're actuallyde fapt on the spotloc,
115
331000
2000
sunteti chiar acolo prezenti...
05:48
you can think about this --
116
333000
2000
puteti sa va ganditi la asta --
05:50
this is takingluare a stepEtapa in additionplus to augmentedaugmented realityrealitate.
117
335000
3000
aceasta este un pas in plus pentru realitatea augmentata.
05:53
What the helliad are you guys -- oh, sorry.
118
338000
2000
Ce naiba faceti voi baieti -- oh, scuze.
05:55
(LaughterRâs)
119
340000
3000
(rasete)
05:58
We're doing two differentdiferit --
120
343000
3000
Facem doua lucruri diferite...
06:01
OK, I'm hangingagăţat up now.
121
346000
3000
OK. Inchid acum.
06:04
We're doing two differentdiferit things here.
122
349000
2000
Facem doua lucruri diferite aici.
06:06
One of them is to take that realreal ...
123
351000
2000
Unul este sa luam acest lucru real...
06:08
(LaughterRâs)
124
353000
7000
(rasete)
06:15
All right, let me just take a momentmoment and thank the teamechipă.
125
360000
3000
Bine, lasati-ma un moment sa multumesc echipei.
06:18
They'veLe-am doneTerminat a fantasticfantastic jobloc de munca of pullingtrăgând this togetherîmpreună.
126
363000
2000
Au facut o treaba fantastica de a pune totul cap la cap.
06:20
(ApplauseAplauze)
127
365000
2000
(aplauze)
06:22
I'm going to abandonabandoneze them now and walkmers pe jos back outsidein afara.
128
367000
3000
Am sa ii las acum si sa merg din nou afara.
06:25
And while I walkmers pe jos outsidein afara, I'll just mentionmenționa that
129
370000
3000
Si in timp ce merg afara, o sa va mentionez ca
06:28
here we're usingutilizând this for telepresenceTeleprezenta,
130
373000
2000
aici, folosim asta pentru teleprezenta,
06:30
but you can equallyin aceeasi masura well use this
131
375000
2000
dar voi puteti sa utilizati asta in aceeasi masura
06:32
on the spotloc, for augmentedaugmented realityrealitate.
132
377000
2000
pe loc, pentru realitate augmentata.
06:34
When you use it on the spotloc, it meansmijloace that
133
379000
2000
Cand il folosesti pe loc, inseamna ca
06:36
you're ablecapabil to bringaduce all of that metadatametadate
134
381000
2000
esti capabil sa aduci toata aceste metadate
06:38
and informationinformație about the worldlume to you.
135
383000
2000
si informatii despre lume, la tine.
06:40
So here, we're takingluare the extrasuplimentar stepEtapa of alsode asemenea broadcastingradiodifuziune it.
136
385000
2000
Deci aici, facem acem pas in plus de a o emite.
06:42
That was beingfiind broadcastdifuzare, by the way, on a 4G networkreţea
137
387000
3000
Aceasta era emisa, apropo, pe o retea 4G
06:45
from the marketpiaţă.
138
390000
3000
din piata.
06:48
All right, and now there's one last TEDTED talk
139
393000
3000
Bine, si acum mai este o ultima prezentare TED
06:51
that MicrosoftMicrosoft has givendat in the pasttrecut severalmai mulți yearsani.
140
396000
2000
pe care Microsoft a facut-o in ultimii ani.
06:53
And that's CurtisCurtis WongWong, WorldWideLa nivel mondial TelescopeTelescop.
141
398000
3000
Si acesta este Curtis Wong, de la WorldWide Telescope.
06:56
So, we're going to headcap over to the dumpsterslazi,
142
401000
2000
Asadar, ne vom indrepta catre containerele de gunoi,
06:58
where it's traditionaltradiţional, after a long day at the marketpiaţă,
143
403000
3000
unde in mod traditional, dupa o zi lunga de piata,
07:01
to go out for a breakpauză, but alsode asemenea stareholbeze up at the skycer.
144
406000
4000
sa te duci pentru o pauza, dar si sa te uiti la cer.
07:05
This is the integrationintegrare
145
410000
2000
Aceasta este integrarea
07:07
of WorldWideLa nivel mondial TelescopeTelescop into our mapshărţi.
146
412000
3000
WorldWide Telescope in hartile noastre.
07:10
(ApplauseAplauze)
147
415000
2000
(aplauze)
07:12
This is the currentactual -- thank you --
148
417000
3000
Acesta este -- va multumesc--
07:15
this is the currentactual time. If we scrubScrub the time,
149
420000
2000
Acesta este timpul real, dar daca stergem timpul,
07:17
then we can see how the skycer will look at differentdiferit timesori,
150
422000
3000
putem sa vedem cum va arata cerul la diferite momente.
07:20
and we can get all of this very detaileddetaliate
151
425000
2000
si putem sa obtinem informatii foarte detaliate
07:22
informationinformație about differentdiferit timesori, differentdiferit datesdatele:
152
427000
4000
despre timpuri diferite, date diferite.
07:27
Let's movemișcare the moonlună a little highersuperior in the skycer,
153
432000
2000
Sa mutam luna un pic mai sus pe cer,
07:29
maybe changeSchimbare the dateData.
154
434000
4000
poate schimbam data.
07:33
I would like to kinddrăguț of zoomzoom in on the moonlună.
155
438000
3000
As vrea sa dam zoom pe luna intr-un fel.
07:39
So, this is an astronomicallyastronomic completecomplet
156
444000
2000
Asadar, aceasta este o reprezentare completa din punct de vedere astronomic
07:41
representationreprezentare of the skycer
157
446000
3000
a cerului
07:44
integratedintegrat right into the EarthPământ.
158
449000
2000
integrata chiar aici pe Pamant.
07:46
All right now, I've overrundepăşire my time,
159
451000
2000
Bine acum, am ramas fara timp,
07:48
so I've got to stop.
160
453000
2000
incat trebuie sa ma opresc.
07:50
Thank you all very much.
161
455000
2000
Va multumesc foarte mult.
07:52
(ApplauseAplauze)
162
457000
12000
(aplauze)
Translated by Maria Tancu
Reviewed by Cristi Grigore

▲Back to top

ABOUT THE SPEAKER
Blaise Agüera y Arcas - Software architect
Blaise Agüera y Arcas works on machine learning at Google. Previously a Distinguished Engineer at Microsoft, he has worked on augmented reality, mapping, wearable computing and natural user interfaces.

Why you should listen

Blaise Agüera y Arcas is principal scientist at Google, where he leads a team working on machine intelligence for mobile devices. His group works extensively with deep neural nets for machine perception and distributed learning, and it also investigates so-called "connectomics" research, assessing maps of connections within the brain.

Agüera y Arcas' background is as multidimensional as the visions he helps create. In the 1990s, he authored patents on both video compression and 3D visualization techniques, and in 2001, he made an influential computational discovery that cast doubt on Gutenberg's role as the father of movable type.

He also created Seadragon (acquired by Microsoft in 2006), the visualization technology that gives Photosynth its amazingly smooth digital rendering and zoom capabilities. Photosynth itself is a vastly powerful piece of software capable of taking a wide variety of images, analyzing them for similarities, and grafting them together into an interactive three-dimensional space. This seamless patchwork of images can be viewed via multiple angles and magnifications, allowing us to look around corners or “fly” in for a (much) closer look. Simply put, it could utterly transform the way we experience digital images.

He joined Microsoft when Seadragon was acquired by Live Labs in 2006. Shortly after the acquisition of Seadragon, Agüera y Arcas directed his team in a collaboration with Microsoft Research and the University of Washington, leading to the first public previews of Photosynth several months later. His TED Talk on Seadragon and Photosynth in 2007 is rated one of TED's "most jaw-dropping." He returned to TED in 2010 to demo Bing’s augmented reality maps.

Fun fact: According to the author, Agüera y Arcas is the inspiration for the character Elgin in the 2012 best-selling novel Where'd You Go, Bernadette?

More profile about the speaker
Blaise Agüera y Arcas | Speaker | TED.com

Data provided by TED.

This site was created in May 2015 and the last update was on January 12, 2020. It will no longer be updated.

We are currently creating a new site called "eng.lish.video" and would be grateful if you could access it.

If you have any questions or suggestions, please feel free to write comments in your language on the contact form.

Privacy Policy

Developer's Blog

Buy Me A Coffee