# Special events and guest speakers Published articles for Special events and guest speakers. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## MIT Schwarzman College of Computing launches pilot to help educators teach AI across disciplines DevFeed: [MIT Schwarzman College of Computing launches pilot to help educators teach AI across disciplines]() Original publisher: [Read original article]() Author: Amanda Diehl | MIT Schwarzman College of Computing Published: 2026-09-09T20:40:00Z Content type: news Language: en Sources: [MIT AI News]() Topics: [MIT Schwarzman College of Computing](), [Artificial Intelligence](), [Machine learning](), [Learning](), [Electrical engineering and computer science (EECS)]() Tags: [ai](), [ai-educators-pilot](), [ai-teaching-workshop](), [artificial-intelligence](), [asu-ozdaglar](), [civil-and-environmental-engineering](), [classes-and-programs](), [computer-science-and-technology](), [computing](), [dan-huttenlocher](), [education](), [education-teaching-academics](), [electrical-engineering-and-computer-science-eecs](), [machine-learning](), [mit-class-c01-c51-modeling-with-machine-learning](), [mit-eecs](), [mit-operations-research-center](), [mit-schwarzman-college-of-computing](), [mit-sloan](), [mit-sloan-school-of-management](), [pilot](), [saurabh-amin](), [school-of-engineering](), [shen-shen](), [special-events-and-guest-speakers](), [stem-education](), [teaching](), [teaching-ai]() ### AI overview MIT's inaugural AI Educators Pilot brought higher education faculty to campus for a weeklong workshop on adapting AI and machine learning materials for teaching across disciplines. ### Source excerpt A weeklong summer workshop brought higher education faculty to campus to explore how AI and machine learning materials can be adapted for their classrooms. ## Inaugural Music Technology Research Showcase celebrates work of new graduate program's initial students DevFeed: [Inaugural Music Technology Research Showcase celebrates work of new graduate program's initial students]() Original publisher: [Read original article]() Author: Dan Pecci | MIT Music and Theater Arts Published: 2026-06-29T19:00:00Z Content type: news Language: en Sources: [MIT AI News]() Topics: [Computing](), [Artificial Intelligence]() Tags: [agustin-rayo](), [ai](), [ai-in-music](), [algorithms](), [anna-huang](), [artificial-intelligence](), [arts](), [electrical-engineering-and-computer-science-eecs](), [electronics](), [eran-egozy](), [event](), [graduate-postdoctoral](), [grisha-coleman](), [hip-hop](), [human-computer-interaction](), [machine-learning](), [mark-rau](), [media-lab](), [mit-class-21m-369-569-tuning-attention-creative-practices-in-movement-sound-and-ai](), [mit-music-and-theater-arts](), [mit-music-technology-and-computation-mtc-graduate-program](), [mit-music-technology-research-showcase](), [mit-schwarzman-college-of-computing](), [mit-shass](), [mit-soe](), [music](), [music-and-theater-arts](), [music-in-eeg-signals](), [music-technology](), [network](), [paris-smaragdis](), [paula-hammond](), [performance](), [performances](), [real-time](), [research](), [school-of-engineering](), [school-of-humanities-arts-and-social-sciences](), [special-events-and-guest-speakers](), [students]() ### AI overview MIT's Music Technology and Computation Graduate Program held its inaugural research showcase on May 13, featuring presentations and performances by its initial students, PhD students, and faculty. Projects included AI-assisted piano improvisation visualization, sound art using noisy network communication, dance-generated music, and EEG-based musical tune identification. ### Source excerpt Associate Professor Anna Huang delivers the keynote address, "In Search of Human-AI Resonance," to a capacity crowd. ## 3 Questions: Beyond data-driven aesthetics DevFeed: [3 Questions: Beyond data-driven aesthetics]() Original publisher: [Read original article]() Author: School of Architecture and Planning Published: 2026-06-29T18:00:00Z Content type: news Language: en Sources: [MIT AI News]() Topics: [Artificial Intelligence](), [Data visualization](), [Algorithms](), [Mathematics](), [Computer science](), [Machine learning]() Tags: [3-questions](), [aesthetic-judgment](), [ai](), [ai-and-aesthetics](), [alexandros-haridis](), [algorithms](), [alumni-ae](), [applied-arts](), [architecture](), [artificial-intelligence](), [beyond-data-driven-aesthetics](), [computational-aesthetics](), [computer-science-and-technology](), [data](), [data-visualization](), [design](), [design-computation](), [exhibits](), [interactive-installations](), [interview](), [machine-learning](), [mit-architecture](), [mit-exhibits](), [mit-keller-gallery](), [mit-sa-plus-p](), [philosophy](), [research](), [school-of-architecture-and-planning](), [shape-grammars](), [special-events-and-guest-speakers]() ### AI overview An MIT Keller Gallery exhibition by Alexandros Haridis examines the history of aesthetic judgment and creative production in computing, connecting architecture, design computation, algorithms, and machine-learning systems. ### Source excerpt In a new Keller Gallery exhibition, Alexandros Haridis SM '17, PhD '22 traces centuries of ideas about aesthetic judgment and explores how design can make complex computational systems visible.