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making things at the @augmentedinstrumentslab with @belaplatform && teaching at @ual_cci
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Eoy bits ft me as computer music doctor 🩺
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Teresa Pelinski @allienski is a final-year PhD student at the Augmented Instruments Lab @augmentedinstrumentslab at Queen Mary University of London. Her PhD is the first to be sponsored by Bela, and as part of her research she has been exploring how neural networks can support creative practice on embedded systems.

During an initial internship with Bela in 2023, Teresa began developing **pybela**, a Python library that allows real-time communication between a C++ Bela program and a Python script or Jupyter notebook. This makes it easy to send and receive data while your Bela code is running, very useful for machine learning pipelines, as well as for any data-driven experiments and real-time performance.

pybela encourages a different kind of AI practice. Instead of large black-boxed models trained on massive datasets, it supports a more experimental, embodied approach: working with small, custom datasets and creatively engaging with the constraints of embedded hardware. This plays to Bela's strengths of design for low-latency and real-time interaction.

Bela Gem is available now on Crowd Supply, link in bio 🔗🔗

@crowdsupply 

#bela #belaio #synth #synthesizer #augmentedinstruments #instrumentdesign #embeddedai #aimusic #belagem
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