COMPUTATIONAL RESEARCH in BOSTON and BEYOND SEMINAR Artificial Intelligence: Short History, Present Developments, and Future Outlook

Artificial intelligence (AI) has the potential to revolutionize many industries, for example, applications ranging from driverless cars, finance, national security, medicine, e-commerce, to name a few. Recently, MIT Lincoln Laboratory undertook a comprehensive study on AI. In this talk, we will cover a brief AI history, highlight present developments, and conclude with a future outlook. After a description of key AI accomplishments in the past several decades, the presentation addresses an AI canonical architecture suitable for a number of classes of applications. Several examples will be shown focused on cyber security, as representative of an application area that benefits from an end-to-end AI architecture. The examples shown include the protection of enterprise systems, automated detection of counterfeit parts, and machine learning to reduce cyber analysts’ workload. The AI canonical architecture starts with data conditioning, followed by classes of machine learning algorithms, human-machine teaming, modern computing, and robust AI. We will briefly address each of these areas. The presentation concludes with a summary of S&T challenges and recommendations – as well as an AI capability business model to more rapidly transition research into products and operational users.