惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

T
The Blog of Author Tim Ferriss
S
Schneier on Security
博
博客园 - 聂微东
爱范儿
爱范儿
大猫的无限游戏
大猫的无限游戏
有赞技术团队
有赞技术团队
腾
腾讯CDC
博
博客园 - 叶小钗
WordPress大学
WordPress大学
博
博客园_首页
J
Java Code Geeks
Last Week in AI
Last Week in AI
钛媒体：引领未来商业与生活新知
钛媒体：引领未来商业与生活新知
V
V2EX
Microsoft Azure Blog
Microsoft Azure Blog
The GitHub Blog
The GitHub Blog
N
Netflix TechBlog - Medium
Y
Y Combinator Blog
Schneier on Security
Schneier on Security
CTFtime.org: upcoming CTF events
CTFtime.org: upcoming CTF events
Recorded Future
Recorded Future
The Register - Security
The Register - Security
C
Cybersecurity and Infrastructure Security Agency CISA
P
Privacy & Cybersecurity Law Blog
P
Proofpoint News Feed
P
Privacy International News Feed
K
Kaspersky official blog
C
CERT Recently Published Vulnerability Notes
阮一峰的网络日志
阮一峰的网络日志
F
Full Disclosure
NISL@THU
NISL@THU
AWS News Blog
AWS News Blog
cs.AI updates on arXiv.org
cs.AI updates on arXiv.org
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
U
Unit 42
MongoDB | Blog
MongoDB | Blog
A
Arctic Wolf
云风的 BLOG
云风的 BLOG
cs.CV updates on arXiv.org
cs.CV updates on arXiv.org
D
Darknet – Hacking Tools, Hacker News & Cyber Security
T
Threatpost
D
Docker
人人都是产品经理
人人都是产品经理
T
Tailwind CSS Blog
V2EX - 技术
V2EX - 技术
G
GRAHAM CLULEY
M
MIT News - Artificial intelligence
H
Heimdal Security Blog
N
News and Events Feed by Topic
P
Proofpoint News Feed

cs updates on arXiv.org

Beyond Binary Edits Robust Multimodal Knowledge Editing with Adversarial Subspace Alignment Agentic Proving for Program Verification MemAudit: Post-hoc Auditing of Poisoned Agent Memory via Causal Attribution and Structural Anomaly Detection OpenSkillEval: Automatically Auditing the Open Skill Ecosystem for LLM Agents One Policy, Infinite NPCs: Persona-Traceable Shared RL Policies for Scalable Game Agents How Human-Like Are Large Language Models? A Register-Aware Linguistic Evaluation Framework Benchmarking Google Embeddings 2 against Open-Source Models for Multilingual Dense Retrieval and RAG Systems Structure-Guided Entity Resolution: Fine-Tuning LLMs for Robust Name Matching in Complex Linguistic Contexts Solving the Aircraft Disassembly Scheduling Problem Co-ReAct: Rubrics as Step-Level Collaborators for ReAct Agents CP or DP? Why Not Both: A Case Study in the Partial Shop Scheduling Problem Asking For An Old Friend: Diagnosing and Mitigating Temporal Failure Modes in LLM-based Statutory Question Answering EDGE-OPD: Internalizing Privileged Context with Evidence Guided On-Policy Distillation ARES: Automated Rubric Synthesis for Scalable LLM Reinforcement Learning SSDAU: Structured Semantic Data Augmentation for Joint Entity and Relation Extraction Naturalistic measure of social norms alignment Articulatory strategy as a source of variation in acoustic vowel dynamics When Planning Fails Despite Correct Execution: On Epistemic Calibration for LLM-Based Multi-Agent Systems EquiSumm : A Gender Bias-Aware Framework for Inclusive Tweet Summarization Metacognition as Reward: Reinforcing LLM Reasoning via Knowledge and Regulation Signals From Correctness to Preference: A Framework for Personalized Agentic Reinforcement Learning Cultural Adaptation in Large Language Models for Political Discourse Emotion Recognition in Sign Language Conversation ClimateChat-300K: A Multi-Modal Facebook Dataset for Understanding Diverse Perspectives in Climate Communication AraHopeCorpus: Annotation Guidelines and Dataset for Hope Speech in Arabic Social Media Crisis Discourse Human-in-the-Loop Multi-Agent Ventilator Decision Support with Contextual Bandit Preference Learning Convergence Without Understanding: When Language Models Agree on Representations but Disagree on Reasoning DART: Semantic Recoverability for Structured Tool Agents Ontological Knowledge Blocks: Executable Compliance and Profile-Based Validation for Trustworthy AI Systems Parallel Context Compaction for Long-Horizon LLM Agent Serving When Is Next-Token Prediction Useful? Marginalization, Ergodicity, Mixture Identifiability, Local Sufficiency, RAG, Tools, and Programming Design and Report Benchmarks for Knowledge Work GENSTRAT: Toward a Science of Strategic Reasoning in Large Language Models Foundation Protocol: A Coordination Layer for Agentic Society AutoResearch AI: Towards AI-Powered Research Automation for Scientific Discovery Hidden Human-Like Nature of Machine-Generated Texts: Theory and Detection Enhancement Self-Improving In-Context Learning Redrawing the AI Map: A Theory of Accountability Boundaries in Agentic Ecosystems Positional Failures in Long-Context LLMs: A Blind Spot in Reasoning Benchmarks Fast-dDrive: Efficient Block-Diffusion VLM for Autonomous Driving Same Model, Different Weakness: How Language and Modality Reshape the Jailbreak Attack Surface in Frontier MLLMs When Symptoms Are Not Enough: Evidence-Weighting Patterns in Large Language Model Psychiatric Screening As X, Do Y: How Persona and Task Combine in Instruction-Tuned LLMs CoReVAD: A Contextual Reasoning Framework for Training-Free Video Anomaly Detection Inconsistency-aware Multimodal Schrödinger Bridge for Deepfake Localization Inductive Deductive Synthesis: Enabling AI to Generate Formally Verified Systems A Fine-Tuned BERT Classifier for Personal-Letter Titles in Late-Ming and Early-Qing Collected Works A Comparative Evaluation of Structural Topic Models and BERTopic for Short, Open-Ended Survey Responses PathCal: State-Aware Reflection-Marker Calibration for Efficient Reasoning The Efficiency Frontier: A Unified Framework for Cost-Performance Optimization in LLM Context Management Flow Mismatching: Unsupervised Anomaly Detection via Velocity Discrepancies in Flow Matching Models DFKI-MLT at SemEval-2026 TASK 7: Steering Multilingual Models Towards Cultural Knowledge RoboSurg-VQA: A Multimodal Benchmark for Surgical Segmentation-Aware Visual Question Answering What Training Data Teaches RL Memory Agents: An Empirical Study of Curriculum Effects in Memory-Augmented QA Dithering Defense: Adversarial Robustness of Vision Foundation Models via Multi-Level Floyd-Steinberg Dithering Millimeter-wave Imaging for Anthropometric Body Measurement Model Collapse as Cultural Evolution DreamerNLplus: Interpretable Modeling of Mental Health Dynamics from Social Media Timelines using Hybrid Rule-Based and RAG Methods The TIME Machine: On The Power of Motion for Efficient Perception HawkesLLM: Semantic Uncertainty Propagation in Agentic Text Simulation Do Language Models Know What Not to Say? Causal Evidence for Statistical Preemption in LLMs Multilingual Steering by Design: Multilingual Sparse Autoencoders and Principled Layer Selection Sparse Autoencoders Map Brain-LLM Alignment onto Cortical Semantic Topography Brain-LLM Alignment Tracks Training Data, Not Typology The Deterministic Horizon: Impossibility Results as Design Specifications for Trustworthy AI Systems Scene Reconstruction as Mapping Priors for 3D Detection CoMoGen: COntrollable MOtion Dynamics and Interactions with Mask-Guided Video GENeration A Proactive Multi-Agent Dialogue Framework for Assessing Social Language Disorder Traits in Autism Memorization Dynamics of Fill-in-the-Middle Pretraining A Reproducible Universal Dependencies-Style Pipeline for Katharevousa Greek Parliamentary Text When AI Takes Sides on Questions of Faith: Persistent Asymmetries in AI-Mediated Faith Guidance Can AI Guess What You Know? Performance Comparison of Large Language Models for Human Domain Knowledge Estimation From Communication Logs Graph Alignment Topology as an Inductive Bias for Grounding Detection GazeBehavior Annotation Toolkit (GBAT): AI-powered toolkit for automatic annotation of egocentric eye-tracking and video data of child-caregiver interaction Improved Vision-to-Chart Buoy Association with Learned World-to-Image Projection Learnability-Informed Fine-Tuning of Diffusion Language Models RAS: Reflection-Augmented Scaling with In-Context Learning for Executable Cypher Query Generation VideoOdyssey: A Benchmark for Ultra-Long-Context and Omni-Modal Video Understanding EVE-Agent: Evidence-Verifiable Self-Evolving Agents Suicide Risk Assessment from AI-powered Video Surveillance: An Interpretable Framework for Prevention in Metro Stations Seeing without Looking: Do Vision-Language Benchmarks Really Test Vision? Mediative Fuzzy Logic: From Type-1 Foundations to Type-2, Type-3 and Quantum Extensions ImProver 2: Iteratively Self-Improving LMs for Neurosymbolic Proof Optimization Energy per Successful Goal: Goal-Level Energy Accounting for Agentic AI Systems GEM-4D: Geometry-Enhanced Video World Models for Robot Manipulation How Far Will They Go? Red-Teaming Online Influence with Large Language Models SciAtlas: A Large-Scale Knowledge Graph for Automated Scientific Research RMA: an Agentic System for Research-Level Mathematical Problems NeuroNL2LTL: A Neurosymbolic Framework for Natural Language Translation of Linear Temporal Logic BOHM: Zero-Cost Hierarchical Attribution for Compound AI Systems GAGPO: Generalized Advantage Grouped Policy Optimization Knowledge Distillation for Low-Resource Open-source Text-to-SQL Model Query-Adaptive Semantic Chunking for Retrieval-Augmented Generation: A Dynamic Strategy with Contextual Window Expansion A Survey of Text and Speech Resources for Hausa and Fongbe: Availability, Quality, and Gaps for NLP Development Evaluating Large Language Models in a Complex Hidden Role Game AV-Master: Dual-Path Comprehensive Perception Makes Better Audio-Visual Question Answering Memory-SAM: Human-Prompt-Free Tongue Segmentation via Retrieval-to-Prompt DIVER: Reinforced Diffusion Breaks Imitation Bottlenecks in End-to-End Autonomous Driving Transformer-Empowered Actor-Critic Reinforcement Learning for Sequence-Aware Service Function Chain Partitioning VerteNet -- A Multi-Context Hybrid CNN Transformer for Accurate Vertebral Landmark Localization in Lateral Spine DXA Images
Architecture for Health Initiative (Arch4Health): Computational Challenges in Health-Related Applications and the Role of Computer Architecture in Addressing Them
[Submitted on 21 Jun 2026] · 2026-06-23 · via cs updates on arXiv.org

View PDF HTML (experimental)

Abstract:Recent biotechnological advances enable high-throughput, low-cost, and accurate biological data generation. This wealth of data enables unique opportunities for advancing healthcare. Despite these opportunities, efficiently analyzing large-scale biological data poses significant challenges for conventional computing systems. These systems often cannot keep up with the high-throughput rate at which data is generated, and they face additional constraints related to energy efficiency, scalability, privacy, and security. Therefore, to facilitate the wide adoption of recent advances in healthcare, there is a need to optimize the computing systems to enable high-performance, energy-efficient, low-cost, private, and secure analysis of biological data.
We introduce the Architecture for Health (Arch4Health) initiative, which aims to (i) identify and analyze key computational challenges in current and future health- and life science-related applications and (ii) explore how computer architects and computing system designers can advance healthcare by addressing these challenges. In this short paper, we first present the motivations behind the Arch4Health initiative and, second, elaborate on its vision and goals, related topics, Arch4Health workshops, and future outlooks.

Submission history

From: Konstantina Koliogeorgi Koliogeorgi [view email]
[v1] Sun, 21 Jun 2026 22:02:28 UTC (2,701 KB)

此内容由惯性聚合(RSS阅读器)自动聚合整理，仅供阅读参考。 原文来自 — 版权归原作者所有。