Lorenzo Bertolini

@lorenzoscottb.bsky.social

Researcher at the European Commission Joint Research Centre (JRC). Multimodality & interpretability in AI for health. Occasionally, AI for dream research. All views are my own https://lorenzoscottb.github.io

💤𝗛𝗼𝘁 𝗼𝗳𝗳 𝘁𝗵𝗲 𝗽𝗿𝗲𝘀𝘀💤 Our findings indicate that 𝘀𝘂𝗯𝗷𝗲𝗰𝘁𝗶𝘃𝗲 𝘀𝗹𝗲𝗲𝗽 𝗱𝗲𝗽𝘁𝗵 is not solely determined by reduced brain activity. 𝗜𝗺𝗺𝗲𝗿𝘀𝗶𝘃𝗲 𝗱𝗿𝗲𝗮𝗺 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲𝘀 appear to maintain the 𝘀𝘂𝗯𝗷𝗲𝗰𝘁𝗶𝘃𝗲 𝘀𝗲𝗻𝘀𝗲 𝗼𝗳 𝗱𝗲𝗲𝗽 𝘀𝗹𝗲𝗲𝗽 as 𝗵𝗼𝗺𝗲𝗼𝘀𝘁𝗮𝘁𝗶𝗰 𝘀𝗹𝗲𝗲𝗽 𝗽𝗿𝗲𝘀𝘀𝘂𝗿𝗲 naturally declines across the night. dx.plos.org/10.1371/jour...

Immersive NREM2 dreaming preserves subjective sleep depth against declining sleep pressure

Perceived sleep depth is generally thought to reflect reduced brain activity. This study shows that this relationship weakens during dreaming, suggesting that dreaming helps sustain the subjective exp...

dx.plos.org

👋 #sleeppeeps, this weekend I’ll be at the DxE simposyum at MIT to present some preliminary work at the intersection of AI and neuroscience to trace #dream event in event #EEG signal. Come say hi at the event, or drop a line if you’re in the Boston area and wanna chat 😀 dxe.framer.website

Dream x Engineering Symposium

A gathering of world leaders in sleep and dream science exploring how we can influence dreaming with precision to improve well-being, accelerate learning, and treat clinical conditions.

dxe.framer.website

Made it alive and well to the last day of #ACL2025NLP? Hats off you to you (well…us…)!!! Time to collect the last energy and pass by our poster this afternoon 😀

Lorenzo Bertolini@lorenzoscottb.bsky.social · last yr.

I’ll be at #ACL2025NLP next week, with a paper for the #GeBNLP workshop! In this work, we tested the ability of a task-level explainability method to trace biological-sex biases in medical image classification, using general and biomedical VLMs. @aclmeeting.bsky.social @genderbiasnlp.bsky.social

Not pressing _this_ work at #ACL2025NLP, but always happy to chat NLP/AI for dream analysis 😴🤖

Lorenzo Bertolini@lorenzoscottb.bsky.social · last yr.

👋 #sleeppeeps In this new work, we show how multiple LLMs appear to easily process #dreams, and reflect previously observed differences in reports (e.g., male-female, blind-sighted). We also argue for caution linking dreams and bizarreness when using #LLMs www.frontiersin.org/journals/sle...

👋 #sleeppeeps In this new work, we show how multiple LLMs appear to easily process #dreams, and reflect previously observed differences in reports (e.g., male-female, blind-sighted). We also argue for caution linking dreams and bizarreness when using #LLMs www.frontiersin.org/journals/sle...

Frontiers | Dreams are more “predictable” than you think

IntroductionA growing body of work has used machine learning and AI tools to analyse dream reports, and compare them to other textual content. Since these to...

frontiersin.org

💤 As I approach the end of my PostDoc at IMT Lucca, I’m looking for a new job! 🧠 Ideally: Research roles related to sleep/dream/consciousness/cognitive science. 🤖 Open to scientific writing & data analysis, too. 📍 Milan, nearby areas, or Switzerland. DMs open 💃🏼

It's Sunday morning so taking a minute for a nerdy thread (on math, tokenizers and LLMs) of the work of our intern Garreth By adding a few lines of code to the base Llama 3 tokenizer, he got a free boost in arithmetic performance 😮 [thread]

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Hi alI quick dataset question: I’m looking for a collection of histopathological images (no specific requirements wrt organ/disease/task) which includes metadata on participants’ (approximate) age. Any suggestion?

Papers at #EMNLP2024 #1 Statistical Uncertainty in Word Embeddings: GloVe-V Neural models, from word vectors through transformers, use point estimate representations. They can have large variances, which often loom large in CSS applications. Tue Nov 12 15:15-15:30 Flagler

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