Uploaded:
June 13, 2023
Part of
All Captioned Videos, #TeachMeSomething
Speaker(s):
Jeff Clune, Associate Professor, Computer Science, University of British Columbia; Canada CIFAR AI Chair and Faculty Member, Vector Institute; Senior Research Advisor, DeepMind
Want to learn more?
The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities [MIT Press]
Selective pressures for accurate altruism targeting: evidence from...
Recorded:
Jun 6, 2023
Uploaded:
June 6, 2023
Part of
All Captioned Videos, #TeachMeSomething
CBMM Speaker(s):
Matt Wilson
Matt Wilson, Professor of Neuroscience, MIT Dept. of Brain and Cognitive Sciences
Want to learn more? https://teachmesomething.mit.edu/tms/do-rats-dream
Reading the Minds of Rats - Matt Wilson- TEDxCoconutGrove
"Memory experts show sleeping rats...
Recorded:
May 23, 2023
Uploaded:
May 23, 2023
Part of
All Captioned Videos, #TeachMeSomething
CBMM Speaker(s):
R.T. Pramod
#MITTeachMeSomethingTuesday
How are we able to see (how the brain works)? Pramod RT, Postdoctoral Associate, MIT Dept. of Brain and Cognitive Sciences Want to learn more? Check these out: Nancy’s Brain Talks (videos), jump to Section 3....
How are we able to see (how the brain works)? Pramod RT, Postdoctoral Associate, MIT Dept. of Brain and Cognitive Sciences Want to learn more? Check these out: Nancy’s Brain Talks (videos), jump to Section 3....
Recorded:
May 19, 2023
Uploaded:
May 19, 2023
Part of
All Captioned Videos, CBMM Programs
CBMM Speaker(s):
Taylor Baum
MIT PhD candidate Taylor Baum talks about her passion project, Sprouting, an organization which hosted a 5-day hackathon for educators and students to empower them to teach coding and computer science in their classrooms and communities with the...
Recorded:
May 9, 2023
Uploaded:
May 19, 2023
Part of
All Captioned Videos, Brains, Minds and Machines Seminar Series
Speaker(s):
Eero Simoncelli, Silver Professor; Professor of Neural Science, Mathematics, Data Science and Psychology, NYU
Abstract: Inference problems in machine or biological vision generally rely on knowledge of prior probabilities, such as spectral or sparsity models. In recent years, machine learning has provided dramatic improvements in most of these problems...
Recorded:
May 16, 2023
Uploaded:
May 16, 2023
Part of
All Captioned Videos, #TeachMeSomething
Speaker(s):
Jeff Clune, Associate Professor, Computer Science, University of British Columbia; Canada CIFAR AI Chair and Faculty Member, Vector Institute; Senior Research Advisor, DeepMind
https://teachmesomething.mit.edu/tms/can-computers-learn-humans
Want to learn more? https://teachmesomething.mit.edu/tms/can-computers-learn-humans
Watch these videos on Deep Learning:
“Tutorial: Deep Learning” from our BMM Summer Course 2018 by...
Recorded:
May 9, 2023
Uploaded:
May 9, 2023
Part of
All Captioned Videos, #TeachMeSomething
Speaker(s):
Greta Tuckute, PhD Candidate, Cognitive Neuroscience, MIT Dept. of Brain and Cognitive Sciences
#MITTeachMeSomethingTuesday
What makes words more memorable?
Greta Tuckute, PhD Candidate, Cognitive Neuroscience, MIT Dept. of Brain and Cognitive Sciences Want to learn more? Check out this article: “Intrinsically memorable words have...
What makes words more memorable?
Greta Tuckute, PhD Candidate, Cognitive Neuroscience, MIT Dept. of Brain and Cognitive Sciences Want to learn more? Check out this article: “Intrinsically memorable words have...
Improving Deep Reinforcement Learning via Quality Diversity, Open-Ended and AI-Generating Algorithms
Recorded:
May 2, 2023
Uploaded:
May 8, 2023
Part of
All Captioned Videos, Brains, Minds and Machines Seminar Series
Speaker(s):
Jeff Clune, Associate Professor, Computer Science, University of British Columbia; Canada CIFAR AI Chair and Faculty Member, Vector Institute; Senior Research Advisor, DeepMind
Abstract: Quality Diversity (QD) algorithms are those that seek to produce a diverse set of high-performing solutions to problems. I will describe them and a number of their positive attributes. I will summarize how they enable robots, after being...
Recorded:
Feb 14, 2023
Uploaded:
May 5, 2023
Part of
All Captioned Videos, CBMM Research
CBMM Speaker(s):
Akhilan Boopathy
CBMM Research Meeting: Akhilan Boopathy, MIT graduate student in the Fiete Lab
Abstract: The measure of a machine learning algorithm is the difficulty of the tasks it can perform, and sufficiently difficult tasks are critical drivers of strong...
Recorded:
Apr 28, 2023
Uploaded:
May 4, 2023
Part of
Computational Tutorials
Speaker(s):
Ting Qian, Noah Nelson
Tutorial on FindingFive
FindingFive is a non-profit organization dedicated to supporting behavioral scientists’ web-based research by making it easy and cost-effective to implement experiments and collect data. With FindingFive, researchers can...