ARTIFICIAL INTELLIGENCEHUMANKIND’S EVOLUTIONARY CHALLENGE
Miguel Sánchez
APRIL 18
2015APRIL 18
204530
INTELLIGENCEHUMAN
INTELLIGENCEARTIFICIAL
TRAN
SISTO
RS
TIME (2 years)
Atomic Limits
Cost/Transistor
MOORE’S LAW
Source: SINTEF
90 %10 %
2 YEARS
THE INFORMATION
NEUROSYNAPTIC CHIPSTHE INTELLIGENCE
MACHINE LEARNINGTHE INTELLIGENCE
DATA
DATA
DATA
PROGRAM
THE INTELLIGENCE
JEFF HAWKINS
A COMPUTER VERSION OF THE NEOCORTEX
A B
C
THE TURING TESTTHE INTELLIGENCE
THE INTELLIGENCE STRONG AI
THE EMPLOYMENT
47% 53%
AT RISK OF AUTOMATION IN THE NEXT 20 YEARS
Source: The Economist
BRAIN & AI RELATIONSHIP
BRAIN-COMPUTER INTERFACE
BRAIN & AI RELATIONSHIP
BCI & CBI INTERFACE
BRAIN-COMPUTER INTERFACE
THE CORTICAL MODEM
BRAIN & AI RELATIONSHIP
RAY KURZWEIL
TECHNOLOGICAL SINGULARITY THE LAW OF ACCELERATING RETURNS
RAY KURZWEIL PAUL ALLEN
THE LAW OF ACCELERATING RETURNS
THE SINGULARITY ISN’T NEAR
Brainnetome
Human Brain Project
BRAIN
Japan's Brain/MINDS
STUDYING THE HUMAN BRAINTECHNOLOGICAL SINGULARITY
ANALYZING THE CONSEQUENCES
ELON MUSK BILL GATES STEPHEN HAWKING
Future of Humanity InstituteUNIVERSITY OF OXFORD
CENTRE FOR THE STUDY OF EXISTENTIAL RISKUNIVERSITY OF CAMBRIDGE
ANALYZING THE CONSEQUENCES
BRAIN & AI RELATIONSHIP
T H A N K Y O UAI HUMANKIND’S EVOLUTIONARY CHALLENGE
Miguel Sánchez