Learning: Machines, Brains & Children

What can babies teach us about how machines can learn?

What can machines teach us about how babies learn?

Watch the video to find out!


Full job description here

CAML Seminar (schedule)

Meets 1:00 on Wednesdays at Luddy 0117

  • David Crandall and Chen Yu are organizing a workshop at ICDL: ICDL-Epirob Workshop on Active Vision, Attention and Learning, on September 17th, 2018 in Tokyo, Japan.

  • WELCOME to Dr. Richard Betzel, newly hired by the EAR initiative and conducting his research in the Department of Pscyhological and Brain Sciences and Cognitive Science Program.

  • David Crandall gave a keynote talk on "Studying visual learning in children using computer vision" at the IEEE Conference on Computer Vision and Pattern Recognition Workshop on Mutual Benefits of Cognitive and Computer Vision in Salt Lake City in June 2018.

  • IU hosts cutting-edge conference at the crossroads of human and machine learning. Read about it here.

  • Our local PBS show, IU Matters, recently interviewed David Crandall, Selma Sabanovic and Chris Raphael on their work with robots and artificial intelligence and learning at IU. View the video here.

  • Year 2 - Workshop on Learning: Deep, fast and shallow learning in humans and machines announced for May 14-15, 2018 (now supported by a grant from the William K. and Katherine W. Estes Fund).

  • Professor Chen Yu has been awarded $1.7M to study the connection between visual attention and language learning. Read about it Here.

  • Be the first to read this article by Diana Kwon just published in Scientific American March 2018 issue, Intelligent Machines That Learn Like Children.

  • Professors Chen Yu and David Crandall and colleagues co-organized the Second International Workshop on Egocentric Perception, Interaction, and Computing (EPIC) at the IEEE International Conference on Computer Vision (ICCV), the premiere international conference in the field. The workshop brought together 20 talks and papers from leading researchers in computer vision, machine learning, and psychology.

  • Dr. David Crandall is co-editing a Special Issue on Egocentric Vision and Lifelogging Tools in the Journal of Visual Communication and Image Representation.

  • Caiafa, Saykin, Sporns and Pestilli had an article accepted to NIPS 2017 (the article was rated top 10% of this highly competitive conference of machine learning and received a "spotlight" presentation). They will present the work at NIPS 2017 conference in Long Beach: Schedule

  • Brain Life gets new NSF grant. This grant will be synergistic with EAR by developing an online platform for research assets (data and analyses code) accumulation. This platform will allow gathering large amounts of data with the goal to benefit research by allowing large-scale machine learning algorithms to act on them.

  • Dr. Linda Smith has received the prestigious 2018 APS William James Fellow Award. This award honors internationally regarded scientists for "their lifetime of significant intellectual contributions to the basic science of psychology."

  • Dr. Jones and Karpicke recieved recent press for building intelligent systems for retrieval based learning in elementary classrooms: Science News

  • Indiana University seeks to fill a faculty position at the level of Assistant Professor (tenure-track) to begin August 2018: Look Here

  • International Conference on Machine Learning, and the joint confrence on Development and Learning (ICDL) and Epigenetic Robotics (EpiRob) ICML ICDL

  • NSF Awards $1 Million to Franco Pestilli and Terry Sejnowski: APS

  • Dr. Linda Smith spoke at the Big Data and Little Learners Symposium at CogSci 2017 in London Presentation

  • Brain Life is an open, online platform to provide a seamless access to cloud computing infrastructure and brain data and data derivatives, allowing computer scientists, statisticians and engineers interested in brain data to use the data to develop and publish their methods. Brain-Life

  • Egocentric Vision Workshop -Year 1

  • Copyright © Indiana University 2017 | Privacy