·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
OpenAI says Hugging Face was breached by its own pre-release models43m◆The State of Simulation for Physical AI: An Overview1h◆Jack Dorsey is taking on Slack with Buzz, a group chat platform for teams and their AI agents1h◆AI and the rise of the universal entertainment app2h◆Substack adds an AI detector to help spot blogs written by no one2h◆Data centers expected to use 4x more electricity by 20353h◆Google releases three new Gemini models — but no 3.5 Pro4h◆Introducing the ChatGPT for small business program4h◆Anthropic’s $1.5 billion book piracy settlement approved by judge4h◆US threatens sanctions against Chinese AI models over IP theft6h◆Google launches a cheaper alternative to large AI security models like Mythos6h◆Music streamer Deezer says more than 50% of daily uploads are AI-generated8h◆Halliday’s latest smart glasses feature a much-improved display8h◆America needs to stop getting shocked by Chinese AI10h◆Advancing next-gen AI with materials science innovation11h◆Gritt exits stealth with $32 million for robots to build solar plants — then, everything else11h◆OpenAI and Hugging Face partner to address security incident during model evaluation14h◆Capacity and Redundancy Trade-offs in Multi-Task Learning17h◆Predictive Training with Latent Imagination for Visual Quadruped Navigation17h◆Where Not to Learn: Prior-Aligned Training with Subset-based Attribution Constraints for Reliable Decision-Making17h◆OpenAI says Hugging Face was breached by its own pre-release models43m◆The State of Simulation for Physical AI: An Overview1h◆Jack Dorsey is taking on Slack with Buzz, a group chat platform for teams and their AI agents1h◆AI and the rise of the universal entertainment app2h◆Substack adds an AI detector to help spot blogs written by no one2h◆Data centers expected to use 4x more electricity by 20353h◆Google releases three new Gemini models — but no 3.5 Pro4h◆Introducing the ChatGPT for small business program4h◆Anthropic’s $1.5 billion book piracy settlement approved by judge4h◆US threatens sanctions against Chinese AI models over IP theft6h◆Google launches a cheaper alternative to large AI security models like Mythos6h◆Music streamer Deezer says more than 50% of daily uploads are AI-generated8h◆Halliday’s latest smart glasses feature a much-improved display8h◆America needs to stop getting shocked by Chinese AI10h◆Advancing next-gen AI with materials science innovation11h◆Gritt exits stealth with $32 million for robots to build solar plants — then, everything else11h◆OpenAI and Hugging Face partner to address security incident during model evaluation14h◆Capacity and Redundancy Trade-offs in Multi-Task Learning17h◆Predictive Training with Latent Imagination for Visual Quadruped Navigation17h◆Where Not to Learn: Prior-Aligned Training with Subset-based Attribution Constraints for Reliable Decision-Making17h◆
Tag

#neuroscience

5 articles tagged #neuroscience

arxivJun 12

End-to-End Machine Learning for Depressive State Classification via EEG and fNIRS

arXiv:2606.11555v1 Announce Type: cross Abstract: The escalating demand for mental healthcare, driven by rising societal stress, highlights the limitations of traditional psychiatric diagnostics. Conventional methods - relying primarily on clinical interviews and patient self-reports - are inherentl

#mental-health#diagnostics#neuroscienceRead on arxiv →
arxivJun 6

Ontology-constrained multi-LLM scoring of hypothesis support in the predictive processing literature

arXiv:2606.05206v1 Announce Type: cross Abstract: Fragmentation is common in interdisciplinary fields with diverse methods and theoretical commitments. Predictive coding neuroscience is a clear example: its literature spans computational theory, electrophysiology, imaging, behavior, and modeling, cr

LL1 model#ontology#literature-synthesis#neuroscienceRead on arxiv →
arxivJun 2

OmniEEG-Bench: A Standardized Evaluation Benchmark for EEG Foundation Models

arXiv:2606.00815v1 Announce Type: new Abstract: Electroencephalography (EEG) supports a variety of brain-computer interface (BCI) tasks ranging from brain-state monitoring to human-LLM interactions. EEG foundation models are emerging, but evaluation remains fragmented due to heterogeneous datasets a

#benchmark#machine-learning#neuroscienceRead on arxiv →
arxivMay 19bullish

EmoMind: Decoding Affective Captions from Human Brain fMRI

arXiv:2605.16739v1 Announce Type: cross Abstract: Decoding visual experience from brain activity has advanced substantially, but cur- rent brain-to-text systems largely recover semantic content while discarding affect. Additionally, language models can generate emotional text when prompted with cate

EMOP2 models#neuroscience#affective-computing#brain-decodingRead on arxiv →
arxivMay 12bullish

MEG-XL: Data-Efficient Brain-to-Text via Long-Context Pre-Training

arXiv:2602.02494v2 Announce Type: replace Abstract: Clinical brain-to-text interfaces are designed for paralysed patients who cannot provide extensive training recordings. Pre-training improves data-efficient generalisation by learning statistical priors across subjects, but these priors critically

ME1 model#neuroscience#pre-training#brain-computer-interfacesRead on arxiv →
HomeModelsNews