Brains, Minds and Machines - Advanced Research Training Course 2018
In-Person Event
Aug 09 - 30, 2018
Barnstable, Massachusetts, USAOVERVIEW
Brains, Minds, and Machines - Advanced Research Training Course is organized by Marine Biological Laboratory (MBL) and will be held from Aug 09 - Aug 30, 2018 at Marine Biological Laboratory, Barnstable, Massachusetts, United States of America.
Conference Description :
The basis of intelligence – how the brain produces intelligent behavior and how we may be able to replicate intelligence in machines – is arguably the greatest problem in science and technology. To solve it, we will need to understand how human intelligence emerges from computations in neural circuits, with rigor sufficient to reproduce the similar intelligent behavior in machines. Success in this endeavor ultimately will enable us to understand ourselves better, to produce smarter machines, and perhaps even to make ourselves smarter.
Today’s AI technologies, such as Watson and Siri, are impressive, but their domain specificity and reliance on vast numbers of labeled examples are obvious limitations; few view this as brain-like or human intelligence. The synergistic combination of cognitive science, neurobiology, engineering, mathematics, and computer science holds the promise to build much more robust and sophisticated algorithms implemented in intelligent machines. The goal of this course is to help produce a community of leaders that are equally knowledgeable in neuroscience, cognitive science, and computer science and will lead the development of true biologically inspired AI.
This course aims to cross-educate computer engineers and neuroscientists; it is appropriate for graduate students, postdocs, and faculty in computer science or neuroscience. Students are expected to have a strong background in one discipline (such as neurobiology, physics, engineering, and mathematics). Our goal is to develop the science and the technology of intelligence and to help train a new generation of scientists that will leverage the progress in neuroscience, cognitive science, and computer science.
Conference Topics :
• Neuroscience: neurons and models
• Computational vision
• Biological vision
• Machine learning
• Bayesian inference
• Planning and motor control
• Memory
• Social cognition
• Inverse problems & well-posedness
• Audition and speech processing
• Natural language processing
Additional details will be posted as soon as they are available.
Conference Description :
The basis of intelligence – how the brain produces intelligent behavior and how we may be able to replicate intelligence in machines – is arguably the greatest problem in science and technology. To solve it, we will need to understand how human intelligence emerges from computations in neural circuits, with rigor sufficient to reproduce the similar intelligent behavior in machines. Success in this endeavor ultimately will enable us to understand ourselves better, to produce smarter machines, and perhaps even to make ourselves smarter.
Today’s AI technologies, such as Watson and Siri, are impressive, but their domain specificity and reliance on vast numbers of labeled examples are obvious limitations; few view this as brain-like or human intelligence. The synergistic combination of cognitive science, neurobiology, engineering, mathematics, and computer science holds the promise to build much more robust and sophisticated algorithms implemented in intelligent machines. The goal of this course is to help produce a community of leaders that are equally knowledgeable in neuroscience, cognitive science, and computer science and will lead the development of true biologically inspired AI.
This course aims to cross-educate computer engineers and neuroscientists; it is appropriate for graduate students, postdocs, and faculty in computer science or neuroscience. Students are expected to have a strong background in one discipline (such as neurobiology, physics, engineering, and mathematics). Our goal is to develop the science and the technology of intelligence and to help train a new generation of scientists that will leverage the progress in neuroscience, cognitive science, and computer science.
Conference Topics :
• Neuroscience: neurons and models
• Computational vision
• Biological vision
• Machine learning
• Bayesian inference
• Planning and motor control
• Memory
• Social cognition
• Inverse problems & well-posedness
• Audition and speech processing
• Natural language processing
Additional details will be posted as soon as they are available.
KEY DATES
09 Aug, 2018
Event Start Date
30 Aug, 2018
Event End Date
SPECIALITIES
NeuroscienceNeurologySUGGESTED HOTELS
CONFERENCE VENUE
Marine Biological LaboratoryRELATED CONFERENCES & LIVE WEBINARS
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