Neural Networks In Data Analytics

As we see the upward trend of daily cases in COVID-19 there is also a proportional upward trend in the overload of paperwork in the health care system. More people are needed to be kept track of and hence there is a exponential amount of growth in available data. Once we reach a certain threshold of data gathered, it simply is not possible for humans to use all of the data to perform analysis on top of. Hence, the usage of artificial intelligence and computers become essential to perform heavy analysis. Maithra Raghu, PhD student at Cornell CS and Google Brain has been doing extensive research into this matter and wants to leave the the focus on data to computer scientists so doctors can focus on their patients instead.

Raghu has proposed to use neural networks to perform analysis on vast amounts of information and help health experts find patterns that human eye cannot pick up. We can further use these patterns to help diagnose and predict much earlier than if we were to use human effort. More importantly we can have more hands helping patients fighting the disease than having them go through paperwork that can be taken care of by computers.

Using these amazing technologies such as neural networks to help solve COVID-19 is only one of the great example of how powerful and useful network analysis and neural networks are. Google Brain was able to use large amounts of data on brain to create a 3D model that traces 20 million synapses connecting more than 25,000 neurons in the brain of a fruit fly. It is estimated that human beings only use 10% of their brain’s capacity, with the advancements of neural networks and network analysis, I believe we will be able to better understand the human brain and access higher usage of the brain.

In conclusion, I believe the work on neural networks is really interesting and is being used mostly everywhere in the tech industry (Apple Silicon). I also believe it will play a big role in data analysis and help us solve problems which are simply unsolvable with human effort. Computers will help us become smarter and reduce tasks which it can do it better and faster than us.

References

Chen, J. (2020, November 13). A Google Brain scientist turns to AI to make medicine more personal. Retrieved November 20, 2020, from https://www.statnews.com/2020/11/16/google-brain-maithra-raghu-artificial-intelligence/

Vincent, J. (2020, January 22). Google publishes largest ever high-resolution map of brain connectivity. Retrieved November 20, 2020, from https://www.theverge.com/2020/1/22/21076806/google-janelia-flyem-fruit-fly-brain-map-hemibrain-connectome