Deep Learning Write-up
Deep learning is a technological simulation of the expansive capabilities of neurons in the neocortex. This section of the brain is where the most of the computing and thinking occurs. Deep learning software is the artificial recreation of this part of the brain and it is created to recognize patterns, sounds and images as well as other data. Although this development is extremely difficult to achieve and perfect, many other breakthroughs have been made through development and research. Technological advances that have been made through research have really opened new doors in communications, medicine, and transportation amongst other fields.
Although nothing that was discussed in MIS2502 comes close to the depth of AI and deep learning, many of software and applications that were used in the class had capabilities of transforming and interpreting data such as SQL and R Studio. Through exploration of intelligent technology, software such as the ones discussed in class have been developed. A large part of the course was interpreting big data and specifically using these different pieces of software to do so. Ultimately, technology will advance to the point where this data can be extracted and interpreted on its own. Data mining is a similar concept because it is able to associate data and show why something would happen and predict the likelihood of that same process happening again.
Through deep learning, researchers have been able to develop speech and image recognition software that has proven useful in every day life, specifically through mobile device advances. Voice search in Androids smartphones have vastly improved by replacing the phone’s speech system with one that was developed through deep learning (Hof).
Hof, Robert D. “Is Artificial Intelligence Finally Coming into Its Own?” MIT Technology Review. MIT Technology Review, 29 Mar. 2016. Web. 28 Apr. 2017.