# Deep learning research landscape & roadmap in a nutshell: past, present   and future -- Towards deep cortical learning

**Authors:** Aras R. Dargazany

arXiv: 1908.02130 · 2019-08-07

## TL;DR

This paper reviews the evolution of deep learning, discusses its current state, and predicts that future advancements will involve integrating deep learning with cortical learning to develop artificial cortical columns.

## Contribution

It provides a comprehensive overview of deep learning's landscape and proposes a future direction towards deep cortical learning and artificial cortical columns.

## Key findings

- Deep learning has evolved significantly over time.
- Future research will likely focus on integrating cortical learning principles.
- Artificial cortical columns are envisioned as a key development.

## Abstract

The past, present and future of deep learning is presented in this work. Given this landscape & roadmap, we predict that deep cortical learning will be the convergence of deep learning & cortical learning which builds an artificial cortical column ultimately.

## Full text

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## Figures

2 figures with captions in the complete paper: https://tomesphere.com/paper/1908.02130/full.md

## References

18 references — full list in the complete paper: https://tomesphere.com/paper/1908.02130/full.md

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Source: https://tomesphere.com/paper/1908.02130