Rajesh Rao: A Rosetta Stone for a lost language
Rajesh Rao: En Rosettasten for Indusskriften
Rajesh Rao seeks to understand the human brain through computational modeling, on two fronts: developing computer models of our minds, and using tech to decipher the 4,000-year-old lost script of the Indus Valley civilization. Full bio
Double-click the English transcript below to play the video.
og Mesopotamiske civilisationer,
herskere, konger
disse magtfulde konger.
fra eet sted til et andet.
Vi ved det ikke.
for at besvare det spørgsmål.
et Indoeuropæisk sprog.
såsom Sanskrit.
af Dravidiantalende folk.
er en meget udfordrende opgave.
som regel på disse segl,
Indus-skriften
at overvinde denne frygt
som Indusskriften gav.
i den forhistoriske verden.
computer-neuro-forsker
med disse forskere,
når man har en ikke-decifreret tekst
eller venstre-mod-højre ?
ved lingvistiske skrifter.
hvad tror I så, det ville være?
Det kunne være I. Det kunne være A,
dette ruder-formet symbol.
det rigtige svar.
at gøre teksten komplet,
når vi forsøger at decifrere teksten
som man kan gøre med computer-modellen.
som kunne se sådan ud.
tekst på engelsk
og I kun kender til engelsk
synes at pege på den konklusion
efterfulgt af en tegning af et blad,
for hvert af disse tegninger,
er alle krydsords moder
efterfulgt af et fisketegn.
at nogle af disse mærkater,
på seks stjerner
som ligner et tag ovenpå den.
giver mening
at tale direkte til os.
ABOUT THE SPEAKER
Rajesh Rao - Computational neuroscientistRajesh Rao seeks to understand the human brain through computational modeling, on two fronts: developing computer models of our minds, and using tech to decipher the 4,000-year-old lost script of the Indus Valley civilization.
Why you should listen
Rajesh Rao is looking for the computational principles underlying the brain's remarkable ability to learn, process and store information -- hoping to apply this knowledge to the task of building adaptive robotic systems and artificially intelligent agents.
Some of the questions that motivate his research include: How does the brain learn efficient representations of novel objects and events occurring in the natural environment? What are the algorithms that allow useful sensorimotor routines and behaviors to be learned? What computational mechanisms allow the brain to adapt to changing circumstances and remain fault-tolerant and robust?
By investigating these questions within a computational and probabilistic framework, it is often possible to derive algorithms that not only provide functional interpretations of neurobiological properties but also suggest solutions to difficult problems in computer vision, speech, robotics and artificial intelligence.
Rajesh Rao | Speaker | TED.com