AI-Research Evolution

A Snapshot in Pandemic


Trends


Artificial Intelligence (AI) has seen exponential growth. Research paper filings in AI have followed suit and more than 30,000 have been filed on arxiv.org.



Pandemic has affected AI research too and can be seen in the drop of submissions in recent months



However healthcare-focused research has seen an upsurge with a spike during the pandemic



Disciplines


AI research has become very multidisciplinary over the years as can be seen below. In addition to core disciplines of AI & Machine Learning, Computer Vision research has dominated over the years including Image & Video processing. Disciplines of Neural Computing, Robotics, Signal Processing & Language have also seen a good chunk of research.



During the pandemic, some of these areas continue to dominate. Here are a top few filing disciplines.



However, certain biological/ medical disciplines have seen an upsurge in AI-led research during the pandemic. Research around Biomolecules, Tissues & Organs, Molecular Networks, Medical/ Biological Physics, and Genomics has picked up.




Concepts


CNNs (Convolutional Neural Networks), RNNs (Recurrent Neural Networks), GANs (Generative Adversarial Networks) & other algorithms using GPUs dominate across the years.




Top Few Concepts Across The Years


During the pandemic, the upshot in medical research has seen a lot of focus on X-Rays, CT scans, EEG, 3D image analysis & RNA focused methods. QA systems to query journals for faster access to answers or patterns have also seen an upsurge. Explainable AI (XAI) has taken precedence, especially in medical diagnosis.




Diseases


Diseases that AI is applied to has also shifted over the years. Cancer research is the main focus. In recent months Pneumonia related research has seen an increase. Diabetes continues to be a major focus area across the years.





Future


Core disciplines of AI continue to see an upsurge and so do some of the concepts like algorithms using CNNs, RNNs, Reinforcement Learning & other architectures. Computer Vision & Pattern Recognition along with Video, Audio, Speech Signal processing trends. However, a few areas are gaining more traction as we go to the future. AI in Language, Cryptography & Security, Human-Computer Interaction, and Networking & Internet Architecture are areas to watch out.



Seems like research in AI is pointing towards a Sensed. Secured. Healthy. Networked. Human Connected. Spoken and Explained world.

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