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4.9 Anthropic CEO Amodei calls for slower AI development and shared safety rules11 src2.6 Agility Robotics unveils Digit 5 humanoid for warehouses and factories2 src2.4 Apple ships rebuilt Siri with Google Gemini, but not in the EU2 src2.2 Siri AI in macOS 27 Golden Gate: FAQ, Germany availability, privacy questions2 src1.7 Sam Altman says OpenAI will not go public in 2026, citing AI safety concerns5 src1.4 OpenAI contractors review real ChatGPT conversations to rate responses, report says2 src1.3 Anthropic data retention policy prompts firms to limit Claude use for sensitive work1 src1.3 CoMem Paper Proposes Shared and Individual Memory Design for LLM Multi-Agent Systems1 src1.3 Paper proposes evolving context parameterization for large language models1 src1.3 Fine-Tuning Vision-Language Models with Listener Gaze for Referring Expressions1 src4.9 Anthropic CEO Amodei calls for slower AI development and shared safety rules11 src2.6 Agility Robotics unveils Digit 5 humanoid for warehouses and factories2 src2.4 Apple ships rebuilt Siri with Google Gemini, but not in the EU2 src2.2 Siri AI in macOS 27 Golden Gate: FAQ, Germany availability, privacy questions2 src1.7 Sam Altman says OpenAI will not go public in 2026, citing AI safety concerns5 src1.4 OpenAI contractors review real ChatGPT conversations to rate responses, report says2 src1.3 Anthropic data retention policy prompts firms to limit Claude use for sensitive work1 src1.3 CoMem Paper Proposes Shared and Individual Memory Design for LLM Multi-Agent Systems1 src1.3 Paper proposes evolving context parameterization for large language models1 src1.3 Fine-Tuning Vision-Language Models with Listener Gaze for Referring Expressions1 src
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papersTODAY 04:00 UTC

Transformer Model Detects Schizophrenia from EEG Spectrograms

A new arXiv paper presents a transformer-based framework that analyzes EEG signals converted into spectrogram form to identify schizophrenia. The approach aims to support diagnosis, which currently relies mainly on clinical evaluation, by using a non-invasive brain-activity measurement. The work is a preprint and has not yet been validated in clinical settings.

papersSEP 12 04:00 UTC

RAMamba-Net: Reliability-Aware Mamba Network for Auditory Attention Detection

A newly posted arXiv preprint introduces RAMamba-Net, a multimodal fusion architecture that combines reliability-aware processing with Mamba state-space layers to determine which speaker a listener is focusing on. The approach targets auditory attention decoding from physiological signals such as EEG, a task relevant to neuro-steered hearing aids and natural human-machine interaction. The paper is a fresh preprint and has not yet undergone peer review.