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Workshops & seminars

Learning Machines

Algorithmic Instructions for Analogue Circuits


Date & time
Wednesday, March 4, 2026
1 p.m. – 3 p.m.

Register now

Cost

This event is free.

Where

J.W. McConnell Building
1400 De Maisonneuve Blvd. W.
4TH SPACE

Accessible location

Yes - See details

Join us for a live, public experiment in machinic pedagogies, where transparency shifts from promises of clarity and control toward a limit point where instruction breaks down and learning amps up! Using old-school learning machines—think: overhead projectors, photocopiers, cassette players—we will build a visible circuit that runs on clear prompts, transparent instructions, and see-through processes. Drawing on traditions of instructional art, the collaborative installation aims to explore algorithmic thinking, artificial intimacies, pedagogical power, perceptual circuits, and the radical difference that exists at the heart of intelligence.

Visitors both in person and online will be invited to help build our emergent learning machine, following algorithmic instructions (or refusing them!), making things (or unmaking them!), adjusting conditions (or disrupting them!), and interfering with the system as it runs in real time. What accumulates on walls, tables, screens, and surfaces will be streamed live, distributing (and distorting) this algorithmic thought in the making.

How can you participate? Join us in person or online by registering for the Zoom Meeting or watching live on YouTube.

Have questions? Send them to info.4@concordia.ca

The Learning Machines team is led by Dr. jessie beier and includes Sarah Belanger-Martel, Jihane Mossalim, Nata Pavlik, Aaron Ansuini, Elizabeth Dovolis, Catlin W. Kuzyk, Patrick Lostracco, Reza Sedighian, and Jana Wodicka. 

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