Deep Learning Research
Deep Learning
Deep learning has become a big talking point and a very important frontier in all things computing. It is essentially feeding a computer massive amounts of data from which the machine derives patterns and inferences which allows it to better solve complex problems. According to MIT Technology Review, deep learning is an attempt to mimic the neural networks in our brains which is where the majority of our thinking occurs (MIT, 2016). This new frontier is so important because machines are now able to infer just as our brains are which enables them to begin to solve the complex problems which we deemed as impossible. This topic relates to MIS2502 because all of the data which we have collected and stored could be fed into these machines to give them more exposure and help them predict more accurately. The excel files which hold thousands of rows of data could be fed into one of these high-powered computers to increase their predictive power. An example of how this tool has been used in practice is Facebook’s ad optimization. Facebook has its own department dedicated to deep learning called the “Facebook AI Research” (FAIR, 2018). This department is attempting to utilize and develop deep learning machines to help their platform provide the best ads for each individual user. They do this by feeding machines all users’ search history and traffic data and the machines take that data to attempt to provide predictions that tailor the Facebook experience for every user. For Facebook, deep learning is so exciting because they have so much user data to utilize which will help their machines to continue to improve their predictive power.
References:
“Facebook AI Research (FAIR).” Facebook Research, 23 Apr. 2018, research.fb.com/category/facebook-ai-research-fair/.
Hof, Robert D. “Is Artificial Intelligence Finally Coming into Its Own?” MIT Technology Review, MIT Technology Review, 29 Mar. 2016, www.technologyreview.com/s/513696/deep-learning/.