[AI Seminar] Online AI Seminar on Sep 22 (Zoom) -- Anima Anandkumar -- Bridging the gap between artificial and human intelligence: Feedback and Compositionality -- AI seminar is sponsored by Fortive.

[Aayush Bansal]

Anima Anandkumar (Caltech/Nvidia) will be giving an online seminar on "Bridging
the gap between artificial and human intelligence: Feedback and
Compositionality" from *12:00 - 01:00 PM EDT* on Sep 22.

*Zoom Link*:
https://cmu.zoom.us/j/91778147295?pwd=U25LazBKaU5Wc2tteHYxSE9CbVhydz09

CMU AI Seminar is sponsored by Fortive.

Following are the details of the talk:

*Title: *Bridging the gap between artificial and human intelligence:
Feedback and Compositionality

*Abstract: *Deep learning has yielded impressive performance over the last
few years. However, it is no match to human perception and reasoning.
Recurrent feedback in the human brain is shown to be critical for robust
perception, and is able to correct the potential errors using an internal
generative model of the world. Inspired by this, we augment any existing
neural network with feedback (NN-F) in a Bayes-consistent manner.   We
demonstrate inherent robustness in NN-F that is far superior to standard
neural networks.


Compositionality is another important hallmark of human intelligence.
Humans are able to compose concepts to reason about entirely new
scenarios.  We have created a new dataset for few-shot learning, inspired
by the Bongard challenge. We show that all existing meta learning methods
severely fall short of human performance. We argue that neuro-symbolic
reasoning is critical for tackling such few-shot learning challenges and
showcase some success stories.


*Bio*: Anima Anandkumar is a Bren Professor at Caltech and Director of ML
Research at NVIDIA. She was previously a Principal Scientist at Amazon Web
Services. She has received several honors such as Alfred. P. Sloan
Fellowship, NSF Career Award, Young investigator awards from DoD, and
Faculty Fellowships from Microsoft, Google, Facebook, and Adobe. She is
part of the World Economic Forum's Expert Network. She is passionate about
designing principled AI algorithms and applying them in interdisciplinary
applications. Her research focus is on unsupervised AI, optimization, and
tensor methods.

To learn more about the seminar series, please visit the website:
http://www.cs.cmu.edu/~aiseminar/


-- 
Aayush Bansal
http://www.cs.cmu.edu/~aayushb/
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