Tagged articles

Temporal Reasoning

4 articles · Page 1 of 1

Jul 17, 2026 · Artificial Intelligence

Astribot Unveils Lumo‑2: 20+ Complex Household Tasks Demonstrate Full‑Stack Embodied AI

Astribot released the Lumo‑2 embodied model, showcasing over 20 real‑world household tasks—from collaborative box‑folding to fine‑grained coffee‑making—while introducing a latent world‑action architecture, three‑stage cross‑modal alignment, a 2.71× faster inference engine, and the modular Agent Philia system that together illustrate a full‑stack AI‑OS‑body approach poised to reshape home robotics.

Agent PhiliaFull‑Stack AILumo-2

0 likes · 12 min read

Astribot Unveils Lumo‑2: 20+ Complex Household Tasks Demonstrate Full‑Stack Embodied AI

Machine Heart

Jul 3, 2026 · Artificial Intelligence

ICML 2026: Enabling Multimodal Large Models to Reason Over Time with the Open‑Source TaRO Framework

The paper introduces the Temporal‑Aware Reasoning Optimization (TaRO) framework, which equips multimodal video large models with time‑aware reasoning via template‑based exploration, a temporal‑sensitivity reward, and progressive curriculum learning, achieving state‑of‑the‑art zero‑shot performance on several video temporal grounding benchmarks, including long‑video datasets.

Reinforcement LearningTaROTemporal Reasoning

0 likes · 9 min read

ICML 2026: Enabling Multimodal Large Models to Reason Over Time with the Open‑Source TaRO Framework

Alibaba Cloud Developer

Apr 7, 2026 · Artificial Intelligence

Rethinking Agent Memory: From Raw Ledgers to Non‑Parametric Systems

This article analyses the nature of memory for LLM‑based agents, arguing that memory is a closed‑loop system composed of a raw ledger, derived views, and a policy layer, and explores how non‑parametric designs, system‑2 architectures, temporal structuring, and skill‑based execution can bridge the gap between parametric and non‑parametric memory while highlighting key bottlenecks and practical design guidelines.

LLMTemporal Reasoningmemory systems

0 likes · 50 min read

Rethinking Agent Memory: From Raw Ledgers to Non‑Parametric Systems

AI Frontier Lectures

Jan 5, 2026 · Artificial Intelligence

Can AI Really Understand Dynamic First‑Person Scenes? Inside the New EOC‑Bench

The article introduces EOC‑Bench, a pioneering benchmark that evaluates multimodal large language models on dynamic first‑person visual tasks across past, present, and future time dimensions, presents its 3,277 questions, novel multi‑scale temporal accuracy metric, extensive model comparisons, and detailed error analysis revealing current models’ limitations in temporal perception and memory.

MLLM evaluationTemporal Reasoningdynamic perception

0 likes · 10 min read

Can AI Really Understand Dynamic First‑Person Scenes? Inside the New EOC‑Bench