This event was help on September 23/24, 2024 in the Physical and Data Sciences Building [PDSB] (formerly known as Physical Sciences and Engineering Library). Seventy people registered for this symposium. Three external speakers: Dustin Mixon (Ohio State Univ.); Gal Mishne (UCSD); Junwei Lu (Harvard) and four internal speakers: Thomas Strohmer (Math); Krishna Balasubramanian (Stat); Xin Liu (CS); Yubei Chen (ECE) gave excellent and stimulating talks on cutting-edge research in DS/AI. To conclude this symposium, we organized a panel discussion on the future directions of data science and machine learning both in research and education. We invited six panelists: Gal Mishne (UCSD); Patrice Koehl (CS); Junwei Lu (Harvard); Chen-Nee Chuah (ECE); and Thomas Lee (Stat). Their presentations generated heated discussions among participants, and it was an excellent way to conclude this symposium. With the ample space available and new white boards, we could also host a poster session. This event clearly demonstrated the usefulness and functionality of the PDSB! Now a number of seminars and research meetings are happening every day. For the detailed event schedule including the title and abstract of the talks, please visit: Foundations of Data Science and Machine Learning