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4.9 Anthropic CEO Amodei calls for slower AI development and shared safety rules — 11 src2.6 Agility Robotics unveils Digit 5 humanoid for warehouses and factories — 2 src2.4 Apple ships rebuilt Siri with Google Gemini, but not in the EU — 2 src2.2 Siri AI in macOS 27 Golden Gate: FAQ, Germany availability, privacy questions — 2 src1.7 Sam Altman says OpenAI will not go public in 2026, citing AI safety concerns — 5 src1.4 OpenAI contractors review real ChatGPT conversations to rate responses, report says — 2 src1.3 Anthropic data retention policy prompts firms to limit Claude use for sensitive work — 1 src1.3 CoMem Paper Proposes Shared and Individual Memory Design for LLM Multi-Agent Systems — 1 src1.3 Paper proposes evolving context parameterization for large language models — 1 src1.3 Fine-Tuning Vision-Language Models with Listener Gaze for Referring Expressions — 1 src4.9 Anthropic CEO Amodei calls for slower AI development and shared safety rules — 11 src2.6 Agility Robotics unveils Digit 5 humanoid for warehouses and factories — 2 src2.4 Apple ships rebuilt Siri with Google Gemini, but not in the EU — 2 src2.2 Siri AI in macOS 27 Golden Gate: FAQ, Germany availability, privacy questions — 2 src1.7 Sam Altman says OpenAI will not go public in 2026, citing AI safety concerns — 5 src1.4 OpenAI contractors review real ChatGPT conversations to rate responses, report says — 2 src1.3 Anthropic data retention policy prompts firms to limit Claude use for sensitive work — 1 src1.3 CoMem Paper Proposes Shared and Individual Memory Design for LLM Multi-Agent Systems — 1 src1.3 Paper proposes evolving context parameterization for large language models — 1 src1.3 Fine-Tuning Vision-Language Models with Listener Gaze for Referring Expressions — 1 src
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Mamba

model3 events
papersTODAY 04:00 UTC

Attention Bridge Method Distills Transformers into Mamba Models with Less Data

A new arXiv paper proposes an "attention bridge" technique for converting pretrained Transformer models into Mamba-style state-space models. The approach aims to make the distillation process more data efficient, addressing the high compute cost of training competitive SSMs from scratch. The work targets the gap between the mature Transformer ecosystem and the less developed tooling around state-space architectures.

distillation/ssm/transformers/research
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.

research/eeg/mamba/multimodal
papersSEP 11 04:00 UTC

CLSP-REQA Framework Adds EEG Quality Awareness to Closed-Loop Seizure Prediction

Researchers present CLSP-REQA, a real-time framework for predicting epileptic seizures that combines Mamba and BiLSTM architectures with confidence-gated stimulation. The work targets a common gap in existing methods: they seldom handle the varying quality of EEG signals seen in real deployments. A confidence mechanism decides when intervention should be triggered, aiming to support closed-loop neurostimulation therapy.

eeg/seizure-prediction/biomedical/research