BMO Lab

Lab for creative research in the arts, performance, emerging technologies, and AI

[CDTPS at UofT @CDTPS_UofT]

Join #CDTPS @bmo_lab's Performance Capture lecture series with special guest Imanuel Schipper on Oct 25, 5-7pm who will discuss Relational Dramaturgies: Co-Producing Spectators, Immersive Spaces and the Change of the Locus of Dramaturgy.
Visit https://t.co/44EGc94nk7
#BMOLabUofT

[BMO Lab @bmo_lab]

BMO Lab is proud to sponsor a technophilosophy panel on Virtual Reality and Society, Monday, September 19, 2022 at 5:00. https://t.co/mTIXwxLPPw

[BMO Lab @bmo_lab]

Really looking forward to this!

[Karina Vold @karinavold]

🚨We're hosting an evening discussion on virtual reality and society. If you’re in Toronto on September 19th, come join us!
👉Register at: https://t.co/2JMUF5pyZs

Big thanks to our sponsors @UofT_IHPST @TorontoSRI @UofTEthics @UofTArtSci @bmo_lab @VicCollege_UofT

[Schwartz Reisman Institute @TorontoSRI]

We have a full, exciting day of #AI discussions ahead. Today's guests include @ghadfield, @jeffclune, @DMulliganUCB, & @mrtz. Also, a special performance by @Drokeby & @bmo_lab. We start at 12:00 EDT. See you there!

Last-chance to register ➡️ https://t.co/TQrfg7acvx

#TorontoSRI

[Schwartz Reisman Institute @TorontoSRI]

The Bard gets fresh! The Performers-In-Residence at @bmo_lab are exploring ways of combining language models like GPT-2 & live performance. #AbsolutelyInterdisciplinary attendees can watch a Shakespearean performance directed by @Drokeby.

Register ➡️ https://t.co/TQrfg7acvx

[Golan Levin @golan]

Creative technology job alert: Visualization + Creative Code at DeepMind (London), developing tools to explore, play with, and understand AI: https://t.co/oMqK18SNHg (deadline June 11)

[BMO Lab @bmo_lab]

Thursday at 2:30: BMO Lab CanStage résidence talk about motion capture in live performance. https://t.co/j5ZeHOpJaG

[BMO Lab @bmo_lab]

The presentation starts at 2:30 toronto time. Enjoy!

Tomorrow at the same time we look at depth camera based spatial triggers for sound and lighting.

[BMO Lab @bmo_lab]

Watch our first of three presentation from the Canadian Stage BMO Lab performers in residency as part of Can Stage’s festivsl of Ideas and Creation.
Today we look at using AI text generation in performance.

https://t.co/j5ZeHOpJaG

[Alex Mordvintsev @zzznah]

NCA seems to train better if identify filter is downscaled (eg by 0.1). It likely increases the relative gradient flow through spatial filters.

[Ken Goldberg @Ken_Goldberg]

Looking fwd to this at 1pm PT tomorrow!

[sougwen 愫君 @sougwen]

While developing my own art and research practice for the past decade, I’ve seen the value of moving beyond the seeming contradictions of science in the arts; of seeing them as obstacles, But instead as unique sites for invention, growth, and transformation.

[sougwen 愫君 @sougwen]

Hybridity rejects false binaries. I believe that by engaging practices that connect scientific and cultural fields, we’re able to better adapt to the rapidly changing conditions of living on an interconnected, damaged planet. And hopefully change it for the better.

[Sofia Crespo 🪸 @soficrespo91]

recording, toes to the tide
gray lines traced by lead
the contours of life

vivid in memory
scrawled indecipherable
scarlet, blue, orange

tide covers the shore
color covers the page
life observed, flourishes

[Alex Mordvintsev @zzznah]

What a story!

[The STUDIO at CMU @creativeinquiry]

Save the dates! This January 14-17, we're hosting "ART && CODE: Homemade"—a free online festival of casual talks by creators who explore poignant new approaches to combining everyday materials, craft languages, and cutting-edge computation! https://t.co/yzvI4sr2LO

[Sarah Schwettmann @cogconfluence]

https://t.co/YTMIICncvE uses BigGAN-PyTorch trained on Places 365. But the method is broadly useful with other models.
It turns out that a small batch of user-sorted images is enough to train a classifier and find a corresponding, perceptually meaningful, latent direction.

[Shadowhunter @manisha72617183]

OH: Changing random stuff until your program works is bad coding practice, but if you do it fast enough it's Machine Learning.