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!




Interested? We're hiring!

Full job description here

IIS / EAR Seminar (schedule)

Meets 2:30-3:30 on Monday's at INFO-East 130

  • Year 2 Learning: Machines, Brains and Children Workshop announced for May, 2018.

  • 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


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