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inference

GeneTech 知识引擎共收录 146 篇相关科研实体，横跨 22 个垂直领域。数据来自 OpenAlex、arXiv、Crossref、PubMed、Europe PMC 等公开学术源，全部可溯源到原文。

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代表性文献（按质量分排序，前 60 条）

• Next-Generation Target Discovery in ESKAPE Pathogens: An AI-Driven Framework from Omics-Based to Systems-Level Modeling and Clinical Translation
  2026 · AI 安全与对齐 · Background: Antimicrobial resistance (AMR) among ESKAPE pathogens—Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa, and Enterobacter spp.—represents a ma…
• Methodology for Workflow Readiness for NAIRR Pilot Resources
  2026 · AI 驱动科学发现 · NSF-led NAIRR Pilot provides scientists the opportunity to leverage about 30 different resources for their science. The resources offered are heterogeneous ranging from traditional HPC-based large computing resources to …
• Methodology for Workflow Readiness for NAIRR Pilot Resources
  2026 · AI 驱动科学发现 · NSF-led NAIRR Pilot provides scientists the opportunity to leverage about 30 different resources for their science. The resources offered are heterogeneous ranging from traditional HPC-based large computing resources to …
• Performance Validation of ORTHOSEG, a Novel Artificial Intelligence Tool for the Segmentation of Orthopantomographs and Intra-Oral X-Rays
  2026 · 医疗人工智能 · Background: Dental radiographs are essential for diagnosis and treatment planning in modern dentistry. However, their manual interpretation is time-consuming and subject to variability, highlighting the need for automate…
• From Pipettes to p-Values: A Framework for Companion Statistical Reporting in Experimental Neuroscience
  2026 · 脑科学 · Statistical inference in experimental neuroscience is routinely detached from the experimental record: analytic choices are reported in prose summaries that do not expose the code, assumptions, or decision pathways that …
• Toward Real-Time Digital Twins for CO₂ Storage: Graph Neural Network Ensembles for Multi-physics Forecasting and Risk Quantification
  2026 · 碳中和与 CCUS · Accurate forecasting of CO₂ plume migration, geochemical alteration, and geomechanical deformation is essential for secure geological carbon storage, yet high-fidelity thermo-hydro-mechanical-chemical (THMC) simulators r…
• Toward Real-Time Digital Twins for CO₂ Storage: Graph Neural Network Ensembles for Multi-physics Forecasting and Risk Quantification
  2026 · 数字孪生 · Accurate forecasting of CO₂ plume migration, geochemical alteration, and geomechanical deformation is essential for secure geological carbon storage, yet high-fidelity thermo-hydro-mechanical-chemical (THMC) simulators r…
• Hierarchical Agentic Incident Response with Digital-Twin-Validated Attack Inference
  2026 · 数字孪生 · Network incident response remains slow and labor-intensive as the defender must infer multi-stage attacks from partial observations and translate recovery decisions into reliable system commands. Decision-theoretic plann…
• VLA-Adapter: An Effective Paradigm for Tiny-Scale Vision-Language-Action Model
  2026 · 具身智能 · Vision-Language-Action (VLA) models typically bridge the gap between perceptual and action spaces by pre-training a large-scale Vision-Language Model (VLM) on robotic data. While this approach greatly enhances performanc…
• SplitML: A Unified Privacy-Preserving Architecture for Federated Split-Learning in Heterogeneous Environments
  2026 · 隐私计算与数据要素 · While Federated Learning (FL) and Split Learning (SL) aim to uphold data confidentiality by localized training, they remain susceptible to adversarial threats such as model poisoning and sophisticated inference attacks. …
• AI-Driven Transcriptome Prediction in Human Pathology: From Molecular Insights to Clinical Applications
  2025 · AI 安全与对齐 · Gene expression regulation underpins cellular function and disease progression, yet its complexity and the limitations of conventional detection methods hinder clinical translation. In this review, we define "predict" as…
• Quest for Orthologs in the era of Data Deluge and AI: Challenges and Innovations in Orthology Prediction and Data Integration
  2025 · AI 安全与对齐 · The rapid advancement of DNA sequencing technologies and computational algorithms has led to an unprecedented surge in genomic data, driven by several large-scale sequencing projects worldwide. Orthology plays a crucial …
• Socializing AI: Integrating Social Network Analysis and Deep Learning for Precision Dairy Cow Monitoring—A Critical Review
  2025 · AI 安全与对齐 · This review critically analyzes recent advancements in dairy cow behavior recognition, highlighting novel methodological contributions through the integration of advanced artificial intelligence (AI) techniques such as t…
• A comprehensive review of AI-native 6G: integrating semantic communications, reconfigurable intelligent surfaces, and edge intelligence for next-generation connectivity
  2025 · AI 安全与对齐 · This review explores the evolving vision of sixth-generation (6G) networks as a paradigm shift from conventional data-centric communication to intelligence-native architectures, where meaning, context, and adaptive decis…
• In silico biological discovery with large perturbation models
  2025 · 生物计算 · Data generated in perturbation experiments link perturbations to the changes they elicit and therefore contain information relevant to numerous biological discovery tasks-from understanding the relationships between biol…
• Edge Intelligence: A Review of Deep Neural Network Inference in Resource-Limited Environments
  2025 · 医疗人工智能 · Deploying deep neural networks (DNNs) in resource-limited environments—such as smartwatches, IoT nodes, and intelligent sensors—poses significant challenges due to constraints in memory, computing power, and energy budge…
• An AI Agent for cell-type specific brain computer interfaces
  2025 · 仿生智能 · Abstract Decoding how specific neuronal subtypes contribute to brain function requires linking extracellular electrophysiological features to underlying molecular identities, yet reliable in vivo electrophysiological sig…
• Analog optical computer for AI inference and combinatorial optimization
  2025 · 仿生智能 · target either AI or optimization workloads and rely on frequent, energy-intensive digital conversions, limiting efficiency. These systems also face application-hardware mismatches, whether handling memory-bottlenecked ne…
• Flow and intuition: a systems neuroscience comparison
  2025 · 脑科学 · This paper explores the relationship between intuition and flow from a neurodynamics perspective. Flow and intuition represent two cognitive phenomena rooted in nonconscious information processing; however, there are cle…
• Meta-Representational Predictive Coding: Neuroscience-Informed Self-Supervised Learning
  2025 · 脑科学 · Self-supervised learning has become an increasingly important paradigm in the domain of machine intelligence. Furthermore, evidence for self-supervised adaptation, such as contrastive formulations, has emerged in recent …
• An Interpretable Deep Inference Model With Dynamic Constraints for Forecasting the Evolution of Sea Surface Variables in the South China Sea
  2025 · 深海科技 · Abstract An interpretable deep inference forecasting model is designed to improve the forecasting capability of sea surface variables. By incorporating the air‐sea coupling mechanism as a dynamic constraint, the interpre…
• Toward demographic robustness in digital patient twins: Addressing the gender data gap
  2025 · 数字孪生 · In this opinion piece, we argue that sex- and gender-based equity must become a foundational criterion in the design and implementation of digital patient twins. Digital patient twins offer a promising avenue for precisi…
• Edge Intelligence: A Review of Deep Neural Network Inference in Resource-Limited Environments
  2025 · 边缘智能 · Deploying deep neural networks (DNNs) in resource-limited environments—such as smartwatches, IoT nodes, and intelligent sensors—poses significant challenges due to constraints in memory, computing power, and energy budge…
• Generative artificial intelligence-oriented synthetic network: Toward Integrated Fine-Tuning and Inference When Generative Artificial Intelligence Meets Edge Intelligence in the Intelligent Internet of Vehicles
  2025 · 边缘智能 · Generative artificial intelligence (GAI) and edge intelligence (EI) are driving the evolution of traditional vehicular networks toward the intelligent Internet of Vehicles (IIoV) by providing foundational and personalize…
• Edge Intelligence in the Generative Artificial Intelligence Era
  2025 · 边缘智能 · Edge intelligence (EI), by leveraging abundant edge resources and positioning AI algorithms closer to end-users, has long been considered a fundamental catalyst for the AI industry. As the AI realm shifts towards new Gen…
• PD-VLA: Accelerating Vision-Language-Action Model Integrated with Action Chunking via Parallel Decoding
  2025 · 具身智能 · Vision-Language-Action (VLA) models demonstrate remarkable potential for generalizable robotic manipulation. The performance of VLA models can be improved by integrating with action chunking, a critical technique for eff…
• Gene-LLMs: a comprehensive survey of transformer-based genomic language models for regulatory and clinical genomics
  2025 · 基因技术工具 · The convergence of natural language processing (NLP) and genomics has given rise to a new class of transformer-based models-genome large language models (Gene-LLMs)-capable of interpreting the language of life at an unpr…
• Splitting smarter: Differential privacy for secure healthcare federated learning.
  2025 · 隐私计算与数据要素 · Split Federated Learning (SplitFed) has emerged as a decentralized method of training ML models that enables multiple healthcare parties to collaboratively share models without sharing their raw data. This method, howeve…
• Novel Federated Graph Contrastive Learning for IoMT Security: Protecting Data Poisoning and Inference Attacks
  2025 · 隐私计算与数据要素 · Malware evolution presents growing security threats for resource-constrained Internet of Medical Things (IoMT) devices. Conventional federated learning (FL) often suffers from slow convergence, high communication overhea…
• On-Device Federated Learning for Energy-Efficient Smart Irrigation
  2025 · 隐私计算与数据要素 · This study presents a novel federated learning (FL) methodology implemented directly on STM32-based microcontrollers (MCUs) for energy-efficient smart irrigation. To the best of our knowledge, this is the first work to d…
• A novel adaptive transformer based quantum intrusion detection system for software defined networks
  2025 · 量子材料 · Intrusion detection in Software Defined Networks (SDNs) faces critical challenges due to evolving attack surfaces and increasing traffic complexity. This paper proposes a novel Adaptive Transformer-based Quantum Intrusio…
• Quantum approaches for inference and decision-making in quantum multi-agent frameworks
  2025 · 量子材料 · Abstract In multi-agent systems, Bayesian networks are pivotal for inference and decision-making under uncertainty, yet they face significant challenges, such as high computational complexity and slow decision speed. Qua…
• Semantic-Aware Federated Blockage Prediction (SFBP) in Vision-Aided Next-Generation Wireless Network
  2025 · 6G 与卫星互联网 · Predicting signal blockages in millimetre-wave and terahertz networks is essential for enabling proactive handover (PHO) and ensuring seamless connectivity. Existing approaches utilising deep learning, multi-modal vision…
• Machine learning in biological physics: From biomolecular prediction to design
  2024 · 生物计算 · Machine learning has been proposed as an alternative to theoretical modeling when dealing with complex problems in biological physics. However, in this perspective, we argue that a more successful approach is a proper co…
• Shareable artificial intelligence to extract cancer outcomes from electronic health records for precision oncology research
  2024 · 医疗人工智能 · Databases that link molecular data to clinical outcomes can inform precision cancer research into novel prognostic and predictive biomarkers. However, outside of clinical trials, cancer outcomes are typically recorded on…
• Active Inference for Learning and Development in Embodied Neuromorphic Agents.
  2024 · 仿生智能 · Taking inspiration from humans can help catalyse embodied AI solutions for important real-world applications. Current human-inspired tools include neuromorphic systems and the developmental approach to learning. However,…
• Design and Evaluation of CPU-, GPU-, and FPGA-Based Deployment of a CNN for Motor Imagery Classification in Brain-Computer Interfaces
  2024 · 仿生智能 · Brain–computer interfaces (BCIs) have gained popularity in recent years. Among noninvasive BCIs, EEG-based systems stand out as the primary approach, utilizing the motor imagery (MI) paradigm to discern movement intentio…
• Active inference as a theory of sentient behavior
  2024 · 脑科学 · This review paper offers an overview of the history and future of active inference-a unifying perspective on action and perception. Active inference is based upon the idea that sentient behavior depends upon our brains' …
• Active Inference for Learning and Development in Embodied Neuromorphic Agents
  2024 · 具身智能 · Taking inspiration from humans can help catalyse embodied AI solutions for important real-world applications. Current human-inspired tools include neuromorphic systems and the developmental approach to learning. However,…
• A stochastic encoder using point defects in two-dimensional materials
  2024 · 量子材料 · While defects are undesirable for the reliability of electronic devices, particularly in scaled microelectronics, they have proven beneficial in numerous quantum and energy-harvesting applications. However, their potenti…
• Interactive Inference: A Multi-Agent Model of Cooperative Joint Actions
  2023 · AI 安全与对齐 · We advance a novel computational model of multi-agent, cooperative joint actions that is grounded in the cognitive framework of active inference. The model assumes that to solve a joint task, such as pressing together a …
• The Human Phenotype Ontology in 2024: phenotypes around the world
  2023 · 生物计算 · The Human Phenotype Ontology (HPO) is a widely used resource that comprehensively organizes and defines the phenotypic features of human disease, enabling computational inference and supporting genomic and phenotypic ana…
• The Human Phenotype Ontology in 2024: phenotypes around the world
  2023 · 仿生智能 · The Human Phenotype Ontology (HPO) is a widely used resource that comprehensively organizes and defines the phenotypic features of human disease, enabling computational inference and supporting genomic and phenotypic ana…
• The Computational and Neural Bases of Context-Dependent Learning
  2023 · 仿生智能 · Flexible behavior requires the creation, updating, and expression of memories to depend on context. While the neural underpinnings of each of these processes have been intensively studied, recent advances in computationa…
• Deep Reinforcement Learning for Containerized Edge Intelligence Inference Request Processing in IoT Edge Computing
  2023 · 边缘智能 · Edge intelligence (EI) refers to a set of connected systems and devices for artificial intelligence (AI) data collected and learned near the data collection site. The EI model inference phase has been improved through ed…
• Joint Foundation Model Caching and Inference of Generative AI Services for Edge Intelligence
  2023 · 边缘智能 · With the rapid development of artificial general intelligence (AGI), various multimedia services based on pretrained foundation models (PFMs) need to be effectively deployed. With edge servers that have cloud-level compu…
• A Framework for Multi-Prototype Based Federated Learning: Towards the Edge Intelligence
  2023 · 边缘智能 · Edge intelligence becomes the enabler to fulfill the privacy-preserving intelligent services and applications for next-generation networking. However, the heterogeneous data distribution of distributed edge clients often…
• Inference as Training
  2026 · AI Agent 生态 · Inference is usually described as fixed-model execution: an input is processed, an output is produced, and the system that performed the inference remains unchanged. That description is useful for ordinary feed-forward e…
• Saltation-consistent event-aware digital twins for uncertainty transport in non-smooth dynamical systems
  2026 · 数字孪生 · Non-smooth mechanical systems challenge prediction not only because their trajectories contain impacts, frictional transitions, and unilateral constraints, but because these events reorganize state propagation, sensitivi…
• LongNav-R1 Multi-Turn Policy and Single-Turn Baselines in Long-Horizon Navigation Efficiency
  2026 · 具身智能 · This report synthesises findings from 7 peer-reviewed papers addressing the following research question: What is the inference efficiency trade-off between LongNav-R1's multi-turn policy and single-turn baselines when ev…
• LongNav-R1 Multi-Turn Policy and Single-Turn Baselines in Long-Horizon Navigation Efficiency
  2026 · 具身智能 · This report synthesises findings from 7 peer-reviewed papers addressing the following research question: What is the inference efficiency trade-off between LongNav-R1's multi-turn policy and single-turn baselines when ev…
• Scaling Laws of 7B and 13B VLA Models in LongNav-R1 on R2R-CE
  2026 · 具身智能 · This report synthesises findings from 2 peer-reviewed papers addressing the following research question: Does the inference efficiency (latency/throughput) of 7B and 13B VLA models scale linearly with instruction complex…
• Scaling Laws of 7B and 13B VLA Models in LongNav-R1 on R2R-CE
  2026 · 具身智能 · This report synthesises findings from 2 peer-reviewed papers addressing the following research question: Does the inference efficiency (latency/throughput) of 7B and 13B VLA models scale linearly with instruction complex…
• BLURR: A Boosted Low-Resource Inference for Vision-Language-Action Models
  2026 · 具身智能 · Vision-language-action (VLA) models enable impressive zero shot manipulation, but their inference stacks are often too heavy for responsive web demos or high frequency robot control on commodity GPUs. We present BLURR, a…
• BLURR: A Boosted Low-Resource Inference for Vision-Language-Action Models
  2026 · 具身智能 · Vision-language-action (VLA) models enable impressive zero shot manipulation, but their inference stacks are often too heavy for responsive web demos or high frequency robot control on commodity GPUs. We present BLURR, a…
• Federated Learning Aggregation Techniques and Multimodal Model Efficiency at the Edge
  2026 · 隐私计算与数据要素 · This report synthesises findings from 13 peer-reviewed papers addressing the following research question: What is the impact of different federated learning aggregation techniques on the inference efficiency and latency …
• Federated Learning Aggregation Techniques and Multimodal Model Efficiency at the Edge
  2026 · 隐私计算与数据要素 · This report synthesises findings from 13 peer-reviewed papers addressing the following research question: What is the impact of different federated learning aggregation techniques on the inference efficiency and latency …
• Adaptive Sparsification and FedAvg for Low-Latency LLM Inference in Federated Edge Networks
  2026 · 隐私计算与数据要素 · This report synthesises findings from 10 peer-reviewed papers addressing the following research question: Can adaptive sparsification techniques combined with FedAvg improve inference latency and throughput for large lan…
• Adaptive Sparsification and FedAvg for Low-Latency LLM Inference in Federated Edge Networks
  2026 · 隐私计算与数据要素 · This report synthesises findings from 10 peer-reviewed papers addressing the following research question: Can adaptive sparsification techniques combined with FedAvg improve inference latency and throughput for large lan…
• Differential Privacy Trade-offs in Federated Code Generation Model Fine-Tuning
  2026 · 隐私计算与数据要素 · This report synthesises findings from 3 peer-reviewed papers addressing the following research question: What is the trade-off between inference latency and model robustness against adversarial attacks when applying diff…

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