electroencephalography — HeatPulse — HeatPulse

LIVE PULSE

4.0 Anthropic CEO Amodei calls for slower AI development and shared safety rules — 11 src2.2 Agility Robotics unveils Digit 5 humanoid for warehouses and factories — 2 src2.0 Apple ships rebuilt Siri with Google Gemini, but not in the EU — 2 src1.8 Siri AI in macOS 27 Golden Gate: FAQ, Germany availability, privacy questions — 2 src1.4 Sam Altman says OpenAI will not go public in 2026, citing AI safety concerns — 5 src1.1 OpenAI contractors review real ChatGPT conversations to rate responses, report says — 2 src1.1 Anthropic data retention policy prompts firms to limit Claude use for sensitive work — 1 src1.1 Study examines issue bias in LLMs used as writing assistants before Swedish 2026 election — 1 src1.1 Study Audits Misalignment in Multi-Modal World Models — 1 src1.1 Retrieval-Grounded Reasoning Approach Proposed for Universal Multimodal Embeddings — 1 src4.0 Anthropic CEO Amodei calls for slower AI development and shared safety rules — 11 src2.2 Agility Robotics unveils Digit 5 humanoid for warehouses and factories — 2 src2.0 Apple ships rebuilt Siri with Google Gemini, but not in the EU — 2 src1.8 Siri AI in macOS 27 Golden Gate: FAQ, Germany availability, privacy questions — 2 src1.4 Sam Altman says OpenAI will not go public in 2026, citing AI safety concerns — 5 src1.1 OpenAI contractors review real ChatGPT conversations to rate responses, report says — 2 src1.1 Anthropic data retention policy prompts firms to limit Claude use for sensitive work — 1 src1.1 Study examines issue bias in LLMs used as writing assistants before Swedish 2026 election — 1 src1.1 Study Audits Misalignment in Multi-Modal World Models — 1 src1.1 Retrieval-Grounded Reasoning Approach Proposed for Universal Multimodal Embeddings — 1 src

electroencephalography

topic2 events

papersTODAY 04:00 UTC

Checkpoint Selection and Evaluation in EEG Emotion Recognition

A study examines how choosing model checkpoints can inflate reported electroencephalography-based emotion recognition scores without any real gain in trial-level performance. The authors compare selection and scoring across separate trial pools along fixed training trajectories. The findings suggest that same-session evaluation practices can distort benchmark comparisons in this field.

eeg/evaluation/benchmark/methodology

papersSEP 10 04:00 UTC

EEGBind: EEG-centric multimodal model for source-level epilepsy discharge detection

Researchers have introduced EEGBind, a machine learning approach centered on EEG signals that aims to localize interictal epileptiform discharges at their source rather than simply flagging their presence. Knowing where such activity likely originates matters for presurgical evaluation and treatment planning in epilepsy. The work appears as a new preprint on arXiv in the machine learning category.

healthcare/eeg/multimodal/epilepsy