Think about a boombox that tracks your each transfer and suggests music to match your private dance type. That’s the thought behind “Be the Beat,” one among a number of initiatives from MIT course 4.043/4.044 (Interplay Intelligence), taught by Marcelo Coelho within the Division of Structure, that have been introduced on the thirty eighth annual NeurIPS (Neural Info Processing Programs) convention in December 2024. With over 16,000 attendees converging in Vancouver, NeurIPS is a aggressive and prestigious convention devoted to analysis and science within the discipline of synthetic intelligence and machine studying, and a premier venue for showcasing cutting-edge developments.
The course investigates the rising discipline of massive language objects, and the way synthetic intelligence might be prolonged into the bodily world. Whereas “Be the Beat” transforms the inventive prospects of dance, different pupil submissions span disciplines corresponding to music, storytelling, essential pondering, and reminiscence, creating generative experiences and new types of human-computer interplay. Taken collectively, these initiatives illustrate a broader imaginative and prescient for synthetic intelligence: one which goes past automation to catalyze creativity, reshape schooling, and reimagine social interactions.
Be the Beat
“Be the Beat,” by Ethan Chang, an MIT mechanical engineering and design pupil, and Zhixing Chen, an MIT mechanical engineering and music pupil, is an AI-powered boombox that implies music from a dancer’s motion. Dance has historically been guided by music all through historical past and throughout cultures, but the idea of dancing to create music is never explored.
“Be the Beat” creates an area for human-AI collaboration on freestyle dance, empowering dancers to rethink the standard dynamic between dance and music. It makes use of PoseNet to explain actions for a big language mannequin, enabling it to investigate dance type and question APIs to search out music with related type, vitality, and tempo. Dancers interacting with the boombox reported having extra management over inventive expression and described the boombox as a novel method to discovering dance genres and choreographing creatively.
A Thriller for You
“A Thriller for You,” by Mrinalini Singha SM ’24, a latest graduate within the Artwork, Tradition, and Know-how program, and Haoheng Tang, a latest graduate of the Harvard College Graduate College of Design, is an academic recreation designed to domesticate essential pondering and fact-checking abilities in younger learners. The sport leverages a big language mannequin (LLM) and a tangible interface to create an immersive investigative expertise. Gamers act as citizen fact-checkers, responding to AI-generated “information alerts” printed by the sport interface. By inserting cartridge mixtures to immediate follow-up “information updates,” they navigate ambiguous situations, analyze proof, and weigh conflicting data to make knowledgeable selections.
This human-computer interplay expertise challenges our news-consumption habits by eliminating touchscreen interfaces, changing perpetual scrolling and skim-reading with a haptically wealthy analog machine. By combining the affordances of sluggish media with new generative media, the sport promotes considerate, embodied interactions whereas equipping gamers to higher perceive and problem immediately’s polarized media panorama, the place misinformation and manipulative narratives thrive.
Memorscope
“Memorscope,” by MIT Media Lab analysis collaborator Keunwook Kim, is a tool that creates collective recollections by merging the deeply human expertise of face-to-face interplay with superior AI applied sciences. Impressed by how we use microscopes and telescopes to look at and uncover hidden and invisible particulars, Memorscope permits two customers to “look into” one another’s faces, utilizing this intimate interplay as a gateway to the creation and exploration of their shared recollections.
The machine leverages AI fashions corresponding to OpenAI and Midjourney, introducing completely different aesthetic and emotional interpretations, which leads to a dynamic and collective reminiscence area. This area transcends the constraints of conventional shared albums, providing a fluid, interactive setting the place recollections aren’t simply static snapshots however residing, evolving narratives, formed by the continuing relationship between customers.
Narratron
“Narratron,” by Harvard Graduate College of Design college students Xiying (Aria) Bao and Yubo Zhao, is an interactive projector that co-creates and co-performs kids’s tales by way of shadow puppetry utilizing massive language fashions. Customers can press the shutter to “seize” protagonists they wish to be within the story, and it takes hand shadows (corresponding to animal shapes) as enter for the principle characters. The system then develops the story plot as new shadow characters are launched. The story seems by way of a projector as a backdrop for shadow puppetry whereas being narrated by way of a speaker as customers flip a crank to “play” in actual time. By combining visible, auditory, and bodily interactions in a single system, the challenge goals to spark creativity in shadow play storytelling and allow multi-modal human-AI collaboration.
Good Syntax
“Good Syntax,” by Karyn Nakamura ’24, is a video artwork piece inspecting the syntactic logic behind movement and video. Utilizing AI to control video fragments, the challenge explores how the fluidity of movement and time might be simulated and reconstructed by machines. Drawing inspiration from each philosophical inquiry and inventive observe, Nakamura’s work interrogates the connection between notion, know-how, and the motion that shapes our expertise of the world. By reimagining video by way of computational processes, Nakamura investigates the complexities of how machines perceive and symbolize the passage of time and movement.
