Abu's StoryYouTube↗  IA↗(long shot)
Science & Technology  1.1M views 32.7K likes 1.4K dislikes   17 May 2017
Google 14.3M subscribers N/A YouTube↗


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[MUSIC PLAYING]
ABU: My name is Abu. I am a high school student, 17 years old.
Mi chiamo Abu, frequento le scuole superiori e ho 17 anni.
People learn in different ways.
Ognuno impara a modo suo.
For me, if I see something really cool, I try to take it apart and figure out how it works. [CHATTER]
Se trovo qualcosa che mi incuriosisce cerco di smontarlo e capire come funziona.
It's a bit more extreme now, because instead of it being hardware, I like to know how algorithms work.
Non mi basta più l'hardware, voglio capire come funzionano gli algoritmi.
My freshman year, I remember Googling "machine learning."
Mi ricordo che al primo anno ho cercato machine learning su Google.
I had no clue what it meant.
Non avevo idea di cosa fosse.
That's the really cool thing what the internet, is that someone's already doing it, so you can just YouTube it,
È il bello di Internet: basta cercare su YouTube per sapere se qualcosa esiste già.
and it's right there. The minute I really saw what machine learning can do, it kind of, like, hit something within me, this need to build things to help people.
Appena ho scoperto le potenzialità del machine learning ho deciso di agire.
My parents are immigrants from Afghanistan.
I miei genitori sono immigrati dall'Afghanistan.
It's not easy coming in.
Non è facile integrarsi.
The only reason we made it through some of the times that we did was because people showed acts of kindness.
Noi ce l'abbiamo fatta grazie alla gentilezza delle persone.
Seeing that at an early age was enough for me to understand that helping people always comes back to you. [MUSIC PLAYING]
Questo mi ha fatto capire che il bene che fai torna sempre indietro.
Machine learning is this concept that we can train computers to identify patterns in data,
Con il machine learning i computer imparano a identificare dati e schemi,
and then use those patterns to predict off of new data.
usati poi per prevedere nuovi dati.
I have a quick demo. This is just some code that I wrote last night. [LAUGHTER]
Ho una breve demo, del codice che ho scritto ieri notte.
Ms. Roscoe is the first teacher that I actually talked to about machine learning.
Miss Rosco è la prima insegnante con cui ho parlato del machine learning.
JENNIFER ROSCOE: Abu and I first met his sophomore year. I was his Programming 1 teacher.
Ho incontrato Abu al suo secondo anno, io ero la sua insegnante di programmazione 1.
My students do a computer science fair, and they are challenged to find a problem,
I miei studenti partecipano a una fiera di informatica dove devono identificare
but they have to use a form of technology to solve that problem.
un problema da risolvere usando la tecnologia.
ABU: And then it kind of hit me, a way where I could actually genuinely help people.
Mi è venuto in mente all'improvviso: un modo per aiutare davvero le persone.
Mammograms are the cheapest imaging format there is.
La mammografia è la forma di diagnostica per immagini più economica in assoluto.
It's the most accessible to people all around the world.
È la più accessibile alle persone di tutto il mondo.
But one of the biggest problems that we see in breast cancer
Ma uno dei maggiori problemi per il cancro al seno è la diagnosi errata.
is misdiagnosis. So I decided that that was going to be my project--
Quindi ho deciso che questo sarebbe stato il mio progetto.
build a system for early detection of breast cancer tumors that's accessible to everyone
Creare un sistema di diagnosi precoce accessibile a tutti e più preciso.
and that's more accurate.
Come realizzarlo?
How was I going to do it?
Grazie al machine learning.
Machine learning. It's not an easy thing to do.
Non è facile.
Data is not publicly available, and if it is, it's low-quality data.
I dati non sono pubblici e, se lo sono, sono di scarsa qualità.
It's difficult. I wasn't even sure if I could do it.
È complicato, non ero sicuro di riuscirci.
And I remember just thinking about, like, everyone else is building a calendar. Like, maybe I should do that.
Ho pensato: "Gli altri stanno creando calendari, magari potrei farlo anch'io."
But I was like, no. You gotta do this.
Poi mi son detto: "No, devi fare questo. "
You need to. JENNIFER ROSCOE: He was talking to me about all the cool stuff he was doing, and I was telling him not to overdo it.
Mi ha raccontato tutte le cose fantastiche che stava facendo e gli ho detto
He should just be a kid and worry about kid stuff.
di non esagerare. Era solo un ragazzo che doveva pensare solo a cose di ragazzi.
ABU: The biggest, most extensive resource that I've used is this platform called TensorFlow.
La risorsa più vasta che ho usato è la piattaforma TensorFlow.
I've spent so many hours going really deep into these open-source libraries and just figuring out how it works.
Ho analizzato in dettaglio le librerie open source per capire come funziona.
Eventually, I wrote a whole system that can help radiologists make their decisions.
Ho realizzato un intero sistema per aiutare i radiologi a prendere decisioni.
SPEAKER: All right, ready?
OK. Pronto? Sì.
ABU: Yeah. I'm by no means a wizard at machine learning.
Non sono affatto un asso del machine learning.
I'm completely self-taught.
Sono un autodidatta.
I'm in high school. I YouTubed and just found my way through it.
Sono uno studente che ha cercato su YouTube e ha trovato la sua strada.
You don't know about that kid in Brazil that might have a groundbreaking idea, or that kid in Somalia.
Potrebbe esserci un bambino in Brasile o Somalia con un'idea innovativa che
You don't know that they have these ideas. But if you can open source your tools, you can give them a little bit of hope that they can actually conquer what they're thinking of.
potrebbe avere la speranza di realizzare se potesse usare strumenti open source.
[MUSIC PLAYING]
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