Throughout my career, I've been drawn to the exciting fields of Natural Language Processing (NLP) and Automatic Speech Recognition (ASR). As a linguistics graduate with experience in language and cognition labs, neuro decoding, and machine learning, I've found that insights into neuroscience have been instrumental in helping me better understand ML, the world, and myself. I've always been passionate about deepening my understanding of neuroscience, and recently, I had the chance to do just that.
I took a week off from work and joined the g.tec Spring School in BCI and neurotechnology. This high-quality program allowed me to immerse myself in the fascinating fields of neuroscience and machine learning. The spring school is still ongoing, but I also soon need to get back to work, I would like to share my experience so far. 🚀
This incredibly fruitful yet intensive 10-day program runs 13 hours per day, non-stop. Despite the challenge of digesting so much in-domain knowledge, especially as I am not exactly a researcher in this area, I found the experience to be arguably the most focused and efficient learning I've had in years. Leveraging advanced tools from the NLP domain greatly assisted me in processing, structuring, and consuming the vast amount of material presented.
My learning workflow starts at 2 am ET, attending live presentations until 3 pm ET (with occasional naps due to the time zone difference). After a well-deserved break, I revisit the previously recorded sessions on YouTube, using OpenAI Whisper to transcribe them while OpenCV extracts all the slides. I then employ GPT to summarize each segment of the talks using both OCR-extracted slide content and the full transcripts. This process results in a well-organized knowledge database for each session, which I review for one to two hours to reinforce the most important takeaways and make my own annotations. 📝
I'll be sharing more about my g.tec Spring School journey soon, but in the meantime, I'd love to hear from others who have attended similar programs or have insights on neuroscience and neurotechnology. Let's connect and learn together! 🌐
Linkedin: https://www.linkedin.com/in/wang-yau-li/
<aside> 💡 Please note that the following summaries are based on transcripts that may contain errors, and the model may include information not explicitly mentioned by the speaker during the presentation. Therefore, this information should be considered supplementary material for understanding the presentations, and it is recommended that you use it as a starting point to create your own revision notes. Please keep in mind the possibility of inaccuracies in the transcripts and use your discretion while utilizing this information.
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<aside> ⚠️ Some notes here will only be visible to the public until the end of April.
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