Mole Project Permalink
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Created a robotic mole plush toy that talks and takes voice commands for mole day.
Published:
Created a robotic mole plush toy that talks and takes voice commands for mole day.
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Created a headset and program to be used by visually impaired pedestrians.
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Created a model to view lung X-rays to localize lung opacities and use them to make COVID-19 diagnoses.
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Interpreted a vision transformer. I made changes to the lucent library, created a frontend to visualize things, and made a slideshow write-up of my work.
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Conducted a literature review of unsupervised disentanglement and ran experiments with disentanglement and scale. Here are the report and math notes.
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Charizzma is an AI conversational advice-giver that helps you respond smoothly when you need it most. Specifically, we used real-time transcription, keyword extraction, and speech synthesis to deliver advice in real time.
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Our shell tool, called LangShell, is a GPT-3 based shell assistant with a memory. You can tell LangShell facts about yourself, and you will never forget them (unless you want it to). We built LangShell using Python, the OpenAI GPT-3 API, and the Huggingface MiniLM-L6-v sentence similarity API. It is based on a fork of Shell GPT, and we plan to release it as a Pull request on the original repo.
Published in Fall Technical Forum: SCTE, NCTA, CableLabs, 2021
This paper discusses uses machine learning to classify types radio frequency impairments in cable modems.
Recommended citation: Ottlik, Berkan and Volpe, Brady. (2021). "Machine Learning and Proactive Network Maintenance: Transforming Today's Plant Operations" 2021 Fall Technical Forum: SCTE, NCTA, CableLabs. https://www.nctatechnicalpapers.com/Paper/2021/2021-machine-learning-and-proactive-network-maintenance-transforming-today-s-plant-operations/