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WattLayer: Get Layers Right to Estimate Inference Energy of Neural Networks

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1 SIGNALFIRST DETECTED 30 June 2026
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30 Jun
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27 Mar
EcoThink: A Green Adaptive Inference Framework for Sustainable and Accessible Agents

arXiv:2603.25498v1 Announce Type: new Abstract: As the Web transitions from static retrieval to generative interaction, the escalating environmental footprint of Large Language

REPORT · WHAT · ArXiv CS.AIOPEN STORY
13 Aug
Cutting AI Datacenter Energy with Reinforcement Learning: Measured Power Control of LLM Training from One GPU to the Fleet

arXiv:2608.11226v1 Announce Type: new Abstract: Reinforcement-learning post-training dominates modern language-model development, yet its power behavior on GPU hardware has not

REPORT · WHAT · ArXiv CS.AIOPEN STORY
28 Aug
The Accuracy-Efficiency Paradox Quantifying Net Energy Loss in on-Device Energy Forecasting

arXiv:2608.26134v1 Announce Type: new Abstract: Energy forecasting aims to maximize accuracy to ensure energy efficiency by reducing energy waste, an objective that applies

REPORT · WHAT · ArXiv CS.AIOPEN STORY
22 Apr
Towards Energy Impact on AI-Powered 6G IoT Networks: Centralized vs. Decentralized

arXiv:2604.19377v1 Announce Type: new Abstract: The emergence of sixth-generation (6G) technologies has introduced new challenges and opportunities for machine learning (ML)

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