In this week’s episode, Aarav Makadia discusses the intersection and individual uses of deep learning, natural language processing (NLP), and speech recognition, three revolutionary subsets of AI that have picked up in the recent decade. With the emergence of AI’s involvement in different industries worldwide, deep learning is only growing into a global technology that will be manipulated for its uses as time progresses. NLP and speech recognition are just two different subsets that have grown to pertain to the 21st century following the popularity of voice assistants and translators, although the capabilities for these technologies are endless. How is deep learning different from machine learning, which we discussed last episode? What makes NLP and speech recognition useful to global consumers like us? More importantly, where can we hope to see these technologies in the future? Listen to episode 4 of TheOpenShow to learn more!