MindStorm Session (March 19, 2018)

Session Highlights

  1. At the MindStorm session, we started with a discussion about the upcoming hackathon. The hackathon will start on Friday, 27th April 2018 at MindGarage and the results will be announced on Sunday, 29th April 2018 at 12:00 pm EST.

  2. Marcus Liwicki shared some insights about the data and how and when the Hackathon will be organized.

  3. Some papers were discussed by Kumar Shridhar:

    • Predictive Neural Networks : where the authors showed that linearly activated recurrent neural networks can approximate any time-dependent function f(t) given by a number of function values. The approximation can effectively be learned by simply solving a linear equation system; no backpropagation or similar methods are needed.

    • Adaptive Neural Compilation : where the authors showed that it is possible to compile programs written in a low-level language to a differentiable representation.

  4. Mendeley Desktop : A very useful application to keep and store all the research papers was discussed by Kumar Shridhar.

  5. Finally, the session ended with a topic presentation on ‘Multi Modal learning’ by Saurabh Varshneya.


At MindGarage, we believe that creativity and innovation are essential for advancing the field of Artificial Intelligence. That's why we provide an open and unconstrained environment for highly motivated students to explore the possibilities of Deep Learning. We encourage freedom of thought and creativity in tackling challenging problems, and we're always on the lookout for talented individuals to join our team. If you're passionate about AI and want to contribute to groundbreaking research in Deep Learning, we invite you to learn more about our lab and our projects.


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