[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]

Reminder.. this is tomorrow at noon.

On Wed, Sep 16, 2020 at 7:55 PM Aayush Bansal <aayushb at cs.cmu.edu> wrote:

> 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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