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Research#Embodied AI🔬 ResearchAnalyzed: Jan 10, 2026 07:36

LookPlanGraph: New Embodied Instruction Following with VLM Graph Augmentation

Published:Dec 24, 2025 15:36
1 min read
ArXiv

Analysis

This ArXiv paper introduces LookPlanGraph, a novel method for embodied instruction following that leverages VLM graph augmentation. The approach likely aims to improve robot understanding and execution of instructions within a physical environment.
Reference

LookPlanGraph leverages VLM graph augmentation.

Infrastructure#Compiler👥 CommunityAnalyzed: Jan 10, 2026 17:03

NGraph: Open-Source Deep Learning Compiler Emerges

Published:Mar 20, 2018 17:14
1 min read
Hacker News

Analysis

The announcement of NGraph, an open-source compiler, signifies ongoing innovation in deep learning infrastructure. This compiler could improve the efficiency and performance of deep learning systems.
Reference

NGraph is an open-source compiler for deep learning systems.

Research#llm👥 CommunityAnalyzed: Jan 4, 2026 09:49

DNNGraph – A deep neural network model generation DSL in Haskell

Published:Apr 20, 2015 01:06
1 min read
Hacker News

Analysis

This article introduces DNNGraph, a Domain Specific Language (DSL) written in Haskell for generating deep neural network models. The focus is on the use of Haskell for this purpose, likely highlighting its benefits in terms of type safety, expressiveness, and potentially performance. The article's value lies in its exploration of functional programming for AI model creation.

Key Takeaways

Reference