Hacker News
- Foundation Models for Neuroscience https://www.neuroai.science/p/foundation-models-for-neuroscience 0 comments
Linked pages
- [2304.06035] Choose Your Weapon: Survival Strategies for Depressed AI Academics https://arxiv.org/abs/2304.06035 318 comments
- Introduction to Data-Centric AI https://dcai.csail.mit.edu/ 31 comments
- Neuroprosthesis for Decoding Speech in a Paralyzed Person with Anarthria | NEJM https://www.nejm.org/doi/10.1056/NEJMoa2027540 22 comments
- [2109.07958] TruthfulQA: Measuring How Models Mimic Human Falsehoods https://arxiv.org/abs/2109.07958 7 comments
- Introducing Llama 3.1: Our most capable models to date https://ai.meta.com/blog/meta-llama-3-1/ 7 comments
- [1711.00937] Neural Discrete Representation Learning https://arxiv.org/abs/1711.00937 4 comments
- [2209.03718] The neuroconnectionist research programme https://arxiv.org/abs/2209.03718 3 comments
- Denoising diffusion models for neuroscience – xcorr: AI & neuro https://xcorr.net/2023/02/06/denoising-diffusion-models-for-neuroscience/ 1 comment
- Catalyzing next-generation Artificial Intelligence through NeuroAI | Nature Communications https://www.nature.com/articles/s41467-023-37180-x 1 comment
- AI image training dataset found to include child sexual abuse imagery - The Verge https://www.theverge.com/2023/12/20/24009418/generative-ai-image-laion-csam-google-stability-stanford 1 comment
- [2405.10078] Spurious reconstruction from brain activity https://arxiv.org/abs/2405.10078 1 comment
- [2001.08361] Scaling Laws for Neural Language Models https://arxiv.org/abs/2001.08361 0 comments
- Dimensionality reduction in neural data analysis – xcorr https://xcorr.net/2021/07/26/dimensionality-reduction-in-neural-data-analysis/ 0 comments
- [1801.06146] Universal Language Model Fine-tuning for Text Classification https://arxiv.org/abs/1801.06146 0 comments
- Smol Talk • Buttondown https://buttondown.email/ainews 0 comments
- [2403.03230] Large language models surpass human experts in predicting neuroscience results https://arxiv.org/abs/2403.03230 0 comments
- MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data https://medarc-ai.github.io/mindeye2/ 0 comments
- [2405.10938] Observational Scaling Laws and the Predictability of Language Model Performance https://arxiv.org/abs/2405.10938 0 comments
- Smaller, Safer, More Transparent: Advancing Responsible AI with Gemma - Google Developers Blog https://developers.googleblog.com/en/smaller-safer-more-transparent-advancing-responsible-ai-with-gemma/ 0 comments
- The Enigma Project https://enigmaproject.ai 0 comments
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