Article

Information Abstraction for Data Transmission Networks based on Large Language Models

2026-02-20

Abstract excerpt

<title>Abstract</title> <p>Biological systems, particularly the human brain, achieve remarkable energy efficiency by abstracting information across multiple hierarchical levels. In contrast, modern artificial intelligence and communication systems often consume significant energy overheads in transmitting low-level data, with limited emphasis on abstraction. Despite its implicit importance, a formal and computati...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: f3a7c2dd-d23b-5254-85b6-ca1bad9c407d
DOI: 10.21203/rs.3.rs-8911506/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Information Abstraction for Data Transmission Networks based on Large Language ModelsDOI 10.21203/rs.3.rs-8911506/v1Read

Task-Adaptive Decoder Specialization for Unified Image Coding Toward Human Reconstruction and Machine ClassificationSemantic proximity Read

Why Compression Creates Intelligence: The Architecture of Experience in Large ModelsSemantic proximity Read

On the magic of 10 bits/s: A surprise constraint on the channel capacity of machine and human intelligence.Semantic proximity Read

A Novel Machine Learning Model for Non-Invasive EEG-Based Inner-Speech Translation in ALSSemantic proximity Read

A Novel Machine Learning Model for Non-Invasive EEG-Based Inner-Speech Translation in ALSSemantic proximity Read

The 10 bits/s bottleneck as error-correcting redundancy: an information-theoretic theory of cognitive reserveSemantic proximity Read

Du-IN-v2: Unleashing the Power of Vector Quantization for Decoding Cognitive States from Intracranial Neural SignalsSemantic proximity Read

HyperLLM: The Next Generation of Large Language Models with Multimodal CapabilitiesSemantic proximity Read

Complexity limits the powers of prediction.Semantic proximity Read

To AI or not to AI? Per-task energy and water demands of AI inference are orders of magnitude lower than human labor across all scenariosSemantic proximity Read

Multimodal Vision Language Models in Interactive and Physical EnvironmentsSemantic proximity Read

Embodied cognition, embodied regulation, and the Data Rate TheoremSemantic proximity Read