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Computational Power and the Social Impact of Artificial Intelligence

이 논문은 AI 혁신을 기술적·사회적 두 축으로 나누어 분석하면서, 특히 ‘하드웨어’라는 물리적 기반을 간과하는 기존 연구들의 한계를 짚는다. 첫 번째로, 계산 능력과 컴퓨팅 아키텍처가 머신러닝 모델의 학습·추론 속도에 미치는 영향을 정량적·정성적으로 연결시킨 점이 주목할 만하다. GPU·TPU와 같은 특수 목적 프로세서는 모델 규모와 복잡성을 급격히 확대시켰으며, 이는 곧 데이터 요구량과 에너지 소비의 급증으로 이어진다. 저자는 이러한 기술적 진보가 단순히 ‘속도 향상’에 그치지 않고, 연구자들이 설계하는 모델의 구조적 선택(예:

Computational Power and the Social Impact of Artificial Intelligence

Conditional Clifford-Steerable CNNs with Complete Kernel Basis for PDE Modeling

ConfEviSurrogate: A Conformalized Evidential Surrogate Model for Uncertainty Quantification

Confirmation of the Supergiant Fast X-ray Transient nature of AX J1841.0-0536 from Swift outburst observations

Confluence Reduction for Probabilistic Systems (extended version)

Connecting Distant Entities with Induction through Conditional Random Fields for Named Entity Recognition: Precursor-Induced CRF

Conservation laws for strings in the Abelian Sandpile Model

Constraints on the Cosmic-Ray Density Gradient beyond the Solar Circle from Fermi gamma-ray Observations of the Third Galactic Quadrant

Context-Aware Initialization for Reducing Generative Path Length in Diffusion Language Models

Continual Error Correction on Low-Resource Devices

Continual Knowledge Consolidation LORA for Domain Incremental Learning

Contrastive Decoding Mitigates Score Range Bias in LLM-as-a-Judge

Copenhagen Survey on Black Holes and Fundamental Physics

Core Collapse Supernovae using CHIMERA: Gravitational Radiation from Non-Rotating Progenitors

Corporate Governance, Noise Trading and Liquidity of Stocks

Corruption-free scheme of entering into contract: mathematical model

Cosmic ray event generator Sibyll 2.1

Cosmic ray propagation time scales: lessons from radioactive nuclei and positron data

Counting Abstraction for the Verification of Structured Parameterized Networks

CPU-Limits kill Performance: Time to rethink Resource Control

Critical Test of Simulations of Charge-Exchange-Induced X-Ray Emission in the Solar System

Custom Algorithm-based Fault Tolerance for Attention Layers in Transformers

Cyber-Physical Testbed for Power System Wide-Area Measurement-Based Control Using Open-Source Software

Cybersecurity Information Sharing Governance Structures: An Ecosystem of Diversity, Trust, and Tradeoffs

DAMBench: A Multi-Modal Benchmark for Deep Learning-based Atmospheric Data Assimilation

DE3S: Dual-Enhanced Soft-Sparse-Shape Learning for Medical Early Time-Series Classification

Debiasing Reward Models by Representation Learning with Guarantees

Dedelayed: Deleting remote inference delay via on-device correction

Delay-Based Back-Pressure Scheduling in Multihop Wireless Networks

Dendroidal Segal spaces and infinity-operads

Dense 3D Displacement Estimation for Landslide Monitoring via Fusion of TLS Point Clouds and Embedded RGB Images

Design and Analysis of E2RC Codes

Design of Current Controller for Two Quadrant DC Motor Drive by Using Model Order Reduction Technique

Designing Interaction for Multi-agent Cooperative System in an Office Environment

Detection of Fraudulent Sellers in Online Marketplaces using Support Vector Machine Approach

Detection of Structural Change in Geographic Regions of Interest by Self Organized Mapping: Las Vegas City and Lake Mead across the Years

Determining a rotation of a tetrahedron from a projection

Detrending career statistics in professional baseball: Accounting for the steroids era and beyond

Developing a system for securely time-stamping and visualizing the changes made to online news content

DGGAN: Degradation Guided Generative Adversarial Network for Real-time Endoscopic Video Enhancement

Different Adiabatic Quantum Optimization Algorithms for the NP-Complete Exact Cover and 3SAT Problems

Diffuse Hard X-ray Emission in Starburst Galaxies as Synchrotron from Very High Energy Electrons

Diffuse matter and cosmogony of stellar systems in researches by Shajn

Digital Data Archives as Knowledge Infrastructures: Mediating Data Sharing and Reuse

Digital Ecosystems: Optimisation by a Distributed Intelligence

Dimensionality Reduction and Reconstruction using Mirroring Neural Networks and Object Recognition based on Reduced Dimension Characteristic Vector

DisMo: A Morphosyntactic, Disfluency and Multi-Word Unit Annotator. An Evaluation on a Corpus of French Spontaneous and Read Speech

Dissecting the Impact of Mobile DVFS Governors on LLM Inference Performance and Energy Efficiency

DNA Probabilities in People v. Prince: When are racial and ethnic statistics relevant?

Do LLMs 'Feel'? Emotion Circuits Discovery and Control

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