multi-modal perception — HeatPulse — HeatPulse

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

multi-modal perception

topic2 events

papersTODAY 04:00 UTC

GT-Space Method Improves Feature Alignment in Multi-Agent Collaborative Perception

A new arXiv paper introduces GT-Space, a technique for multi-agent collaborative perception in autonomous driving where vehicles with different sensor modalities share perceptual data. The method uses ground truth feature space to address the challenge of aligning heterogeneous features across agents. It appears across arXiv cs.AI and cs.LG as a cross-listing revision.

autonomous-driving/collaborative-perception/arxiv/sensor-fusion

papersSEP 12 04:00 UTC

Multi-Modal Perception Pipeline Targets Detection and Tracking in Autonomous Racing

A revised arXiv paper presents a multi-modal perception pipeline aimed at object detection and tracking for autonomous racing vehicles. The work addresses robustness challenges such as degraded visibility, sensor noise, and sensor failures that remain difficult for driving perception systems. It falls under the cs.AI category and appears as a replacement submission.

autonomous-driving/perception/object-detection/arxiv