#recurrent-networks

LIVE PULSE

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

2 curated events

papersTODAY 04:00 UTC

Hippocampal Recurrent Network Model Explains Goal-Directed Navigation as Dynamics Relaxation

A new arXiv preprint proposes that the brain's spatial navigation circuits can be understood as a process of dynamics relaxation, in which neural activity settles into a state representing an optimal path. The authors build a recurrent network inspired by the hippocampus that reaches goals while avoiding obstacles. The work aims to bridge documented spatial cognitive maps with an account of how neural circuits actually compute routes through complex environments.

neuroscience/hippocampus/planning/recurrent-networks

papersTODAY 04:00 UTC

Random Matrix Theory Describes Sparse Neuronal Networks with Heterogeneous Timescales

A theoretical study models sparse recurrent networks of excitatory and inhibitory units whose time constants vary across the population, using random matrix theory to analyze their dynamics. The authors report that training such networks with additive noise on working memory tasks slows and diversifies inhibitory timescales, a change linked to improved task performance.

neuroscience/recurrent-networks/random-matrix-theory/working-memory