主题图谱 / machine learning

machine learning

GeneTech 知识引擎共收录 3221 篇相关科研实体，横跨 30 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。

年度产出趋势

相关主题

代表性文献（按质量分排序，前 60 条）

• GENERATIVE AI AND MACHINE LEARNING USING PYTHON
  2026 · AI Agent 生态 · Generative AI and Machine Learning Using Python Artificial Intelligence is transforming the world, and Generative AI is leading the next wave of innovation. This comprehensive book provides a practical, hands-on approach…
• GENERATIVE AI AND MACHINE LEARNING USING PYTHON
  2026 · AI Agent 生态 · Generative AI and Machine Learning Using Python Artificial Intelligence is transforming the world, and Generative AI is leading the next wave of innovation. This comprehensive book provides a practical, hands-on approach…
• AgentClinic: a multimodal benchmark for tool-using clinical AI agents
  2026 · AI Agent 生态 · Evaluating large language models (LLM) in clinical scenarios is crucial to assessing their potential clinical utility. Existing benchmarks rely heavily on static question-answering, which does not accurately depict the c…
• Location Aware and Environmental Condition for Smart Crop Prediction and Calendar Generation Using ML
  2026 · 智慧农业 · Agriculture plays a vital role in ensuring both and potential financial setbacks. Advancements in machine learning offer promising solutions to these challenges by selecting the most suitable crops remains a significant …
• Location Aware and Environmental Condition for Smart Crop Prediction and Calendar Generation Using ML
  2026 · 智慧农业 · Agriculture plays a vital role in ensuring both and potential financial setbacks. Advancements in machine learning offer promising solutions to these challenges by selecting the most suitable crops remains a significant …
• Data for: A hybrid biophysical-machine learning framework for diurnal surface energy flux estimation using proximal sensing
  2026 · 智慧农业 · Thermal-based remote sensing of surface energy fluxes has traditionally relied on high spatial resolution satellite data with revisit frequencies on the order of weeks. In this study, we evaluate a biophysics-based analy…
• Data for: A hybrid biophysical-machine learning framework for diurnal surface energy flux estimation using proximal sensing
  2026 · 智慧农业 · Thermal-based remote sensing of surface energy fluxes has traditionally relied on high spatial resolution satellite data with revisit frequencies on the order of weeks. In this study, we evaluate a biophysics-based analy…
• Smart Farming Advisory System using Artificial Intelligence
  2026 · 智慧农业 · This paper presents an AI-driven Smart Farming Advisory System designed to assist farmers in making data-driven agricultural decisions. The system integrates machine learning algorithms, including Random Forest, Decision…
• Smart Farming Advisory System using Artificial Intelligence
  2026 · 智慧农业 · This paper presents an AI-driven Smart Farming Advisory System designed to assist farmers in making data-driven agricultural decisions. The system integrates machine learning algorithms, including Random Forest, Decision…
• Explainable AI-Driven Quality and Condition Monitoring in Smart Manufacturing
  2026 · AI 安全与对齐 · Artificial intelligence (AI) is increasingly adopted in manufacturing for tasks such as automated inspection, predictive maintenance, and condition monitoring. However, the opaque, black-box nature of many AI models rema…
• From LLM to Agent: A large-language-model-driven machine learning framework for catalyst design of MgH2 dehydrogenation
  2025 · AI Agent 生态 · • AI framework automates MgH 2 catalyst data extraction from literature. • LLM to Agent approach accelerates MgH 2 catalyst discovery and design. • Machine learning predicts MgH 2 dehydrogenation with high accuracy. • Ca…
• The Rise of Agentic AI: A Review of Definitions, Frameworks, Architectures, Applications, Evaluation Metrics, and Challenges
  2025 · AI Agent 生态 · Agentic AI systems are a recently emerged and important approach that goes beyond traditional AI, generative AI, and autonomous systems by focusing on autonomy, adaptability, and goal-driven reasoning. This study provide…
• Biomolecular Interaction Prediction: The Era of AI
  2025 · AI 安全与对齐 · Predicting biomolecular interactions is a crucial task in drug discovery and molecular biology. Deep learning, with its ability to learn complex patterns from large datasets, has shown promising results in predicting bio…
• The Evolution of Anticancer 3D In Vitro Models: The Potential Role of Machine Learning and AI in the Next Generation of Animal-Free Experiments
  2025 · AI 安全与对齐 · The development of anticancer therapies has increasingly relied on advanced 3D in vitro models, which more accurately mimic the tumor microenvironment compared to traditional 2D cultures. This review describes the evolut…
• Current state-of-the-art in multi-scale modeling in nano-cancer drug delivery: role of AI and machine learning
  2025 · AI 安全与对齐 · Nanomedicine has transformed cancer therapy by enabling targeted drug delivery through nanoparticle-based systems. However, challenges such as inefficient tumor accumulation, poor tissue penetration, and limited cellular…
• Leveraging AI-Driven Neuroimaging Biomarkers for Early Detection and Social Function Prediction in Autism Spectrum Disorders: A Systematic Review
  2025 · AI 安全与对齐 · Background: This systematic review examines artificial intelligence (AI) applications in neuroimaging for autism spectrum disorder (ASD), addressing six research questions regarding biomarker optimization, modality integ…
• Leveraging transformers and explainable AI for Alzheimer’s disease interpretability
  2025 · AI 安全与对齐 · Alzheimer's disease (AD) is a progressive brain ailment that causes memory loss, cognitive decline, and behavioral changes. It is quite concerning that one in nine adults over the age of 65 have AD. Currently there is al…
• Advanced hybrid machine learning models with explainable AI for predicting residual friction angle in clay soils
  2025 · AI 安全与对齐 · Abstract Accurately estimating the residual strength friction angle of clay soils is vital for the design and stability evaluation of geotechnical structures such as slopes, retaining walls, and foundations, especially i…
• RETRACTED ARTICLE: A comprehensive explainable AI approach for enhancing transparency and interpretability in stroke prediction
  2025 · AI 安全与对齐 · Stroke is among the leading causes of death, especially among old adults. Thus, the mortality rate and severe cerebral disability can be avoided when stroke is diagnosed at its early stages, followed by subsequent treatm…
• Deep learning-based image classification for integrating pathology and radiology in AI-assisted medical imaging
  2025 · AI 安全与对齐 · The integration of pathology and radiology in medical imaging has emerged as a critical need for advancing diagnostic accuracy and improving clinical workflows. Current AI-driven approaches for medical image analysis, de…
• 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…
• AI and Machine Learning in Biology: From Genes to Proteins
  2025 · AI 安全与对齐 · Artificial Intelligence (AI) and Machine Learning (ML), especially deep learning, have revolutionized genomics and protein structure prediction, advancing precision medicine and drug discovery. This review focuses on the…
• ProtAlign-ARG: antibiotic resistance gene characterization integrating protein language models and alignment-based scoring
  2025 · AI 安全与对齐 · The evolution and spread of antibiotic resistance pose a global health challenge. Whole genome and metagenomic sequencing offer a promising approach to monitoring the spread, but typical alignment-based approaches for an…
• Explainable AI models for predicting drop coalescence in microfluidics device
  2024 · AI 安全与对齐 · In the field of chemical engineering, understanding the dynamics and probability of drop coalescence is not just an academic pursuit, but a critical requirement for advancing process design by applying energy only where …
• Enhancing Alignment using Curriculum Learning & Ranked Preferences
  2024 · AI 安全与对齐 · Direct Preference Optimization (DPO) is aneffective technique that leverages pairwise preference data (one chosen and rejected response per prompt) to align LLMs to human preferences.In practice, multiple responses could…
• A Pattern Language for Production LLM Platforms: Governed Routing, Agent Orchestration, and AI-Native Delivery
  2026 · AI Agent 生态 · A production platform built on large language models makes two kinds of decision, and most of its trouble comes from writing both into one clause. An optimization decision improves an objective: lower latency, lower cost…
• A Pattern Language for Production LLM Platforms: Governed Routing, Agent Orchestration, and AI-Native Delivery
  2026 · AI Agent 生态 · A production platform built on large language models makes two kinds of decision, and most of its trouble comes from writing both into one clause. An optimization decision improves an objective: lower latency, lower cost…
• PEVG: Planner, Executor, Verifier, Generator. Four Contracts That Make a Failure Attributable to One Role
  2026 · AI Agent 生态 · No trademark is claimed on PEVG, on the name of any of the four roles, or on anything else in this document. The construct is offered for use, teaching, assessment, extension and criticism by anyone, with attribution, un…
• PEVG: Planner, Executor, Verifier, Generator. Four Contracts That Make a Failure Attributable to One Role
  2026 · AI Agent 生态 · No trademark is claimed on PEVG, on the name of any of the four roles, or on anything else in this document. The construct is offered for use, teaching, assessment, extension and criticism by anyone, with attribution, un…
• PARA: Perception, Action, Reasoning, Adaptation. Four Faculties an Institution Can Revoke
  2026 · AI Agent 生态 · The fourth faculty is Adaptation. Any source rendering it as Reflection is in error, including sources by this author, and the distinction is not cosmetic: reflection is a private act with no external consequence, while …
• PARA: Perception, Action, Reasoning, Adaptation. Four Faculties an Institution Can Revoke
  2026 · AI Agent 生态 · The fourth faculty is Adaptation. Any source rendering it as Reflection is in error, including sources by this author, and the distinction is not cosmetic: reflection is a private act with no external consequence, while …
• IK-0 Intelligence Kernel Foundational Metacognitive Execution Framework v0.1.0
  2026 · AI Agent 生态 · IK-0: Intelligence Kernel - Foundational SpecificationVersion: IK-0 (Genesis)Status: Design SpecificationDate: 2026-02-06Classification: System Architecture Document1. System Overview1.1 PurposeIK-0 is a foundational met…
• Synoema: A Programming Language Optimized for Large-Language-Model Code Generation
  2026 · AI Agent 生态 · Synoema is a programming language designed from first principles to be generated, read, and modified by large language models (LLMs) rather than humans. This technical report establishes author's priority on the language…
• Synoema: A Programming Language Optimized for Large-Language-Model Code Generation
  2026 · AI Agent 生态 · Synoema is a programming language designed from first principles to be generated, read, and modified by large language models (LLMs) rather than humans. This technical report establishes author's priority on the language…
• IK-0 Intelligence Kernel Foundational Metacognitive Execution Framework v0.1.0
  2026 · AI Agent 生态 · IK-0: Intelligence Kernel - Foundational SpecificationVersion: IK-0 (Genesis)Status: Design SpecificationDate: 2026-02-06Classification: System Architecture Document1. System Overview1.1 PurposeIK-0 is a foundational met…
• IK-0 Intelligence Kernel Foundational Metacognitive Execution Framework v0.1.0
  2026 · AI Agent 生态 · IK-0: Intelligence Kernel - Foundational SpecificationVersion: IK-0 (Genesis)Status: Design SpecificationDate: 2026-02-06Classification: System Architecture Document1. System Overview1.1 PurposeIK-0 is a foundational met…
• IK-0 Intelligence Kernel Foundational Metacognitive Execution Framework v0.1.0
  2026 · AI Agent 生态 · IK-0: Intelligence Kernel - Foundational SpecificationVersion: IK-0 (Genesis)Status: Design SpecificationDate: 2026-02-06Classification: System Architecture Document1. System Overview1.1 PurposeIK-0 is a foundational met…
• AgroIntel: An Intelligent District-Aware Framework for Crop Recommendation and Fertilizer Optimization
  2026 · 智慧农业 · Abstract - Agriculture continues to be a principal means of earning a living for a significant portion of the global population. Crop suitability depends on multiple variables such as soil The rising demand for food prod…
• AgroIntel: An Intelligent District-Aware Framework for Crop Recommendation and Fertilizer Optimization
  2026 · 智慧农业 · Abstract - Agriculture continues to be a principal means of earning a living for a significant portion of the global population. Crop suitability depends on multiple variables such as soil The rising demand for food prod…
• Data Science-Driven Agricultural Yield Prediction System
  2026 · 智慧农业 · Crop yield forecasting is increasingly important for farmers facing uncertainties such as varying rainfall patterns and fluctuating soil nutrient levels. This study proposes a data-driven system that utilizes historical …
• Data Science-Driven Agricultural Yield Prediction System
  2026 · 智慧农业 · Crop yield forecasting is increasingly important for farmers facing uncertainties such as varying rainfall patterns and fluctuating soil nutrient levels. This study proposes a data-driven system that utilizes historical …
• TRANSFORMING AGRICULTURE WITH AI-POWERED SMART DRONES
  2026 · 智慧农业 · This paper introduces an AI-driven smart drone framework for precision agriculture, integrating computer vision, machine learning, and sensor technology to enable real-time crop monitoring and disease detection. By trans…
• TRANSFORMING AGRICULTURE WITH AI-POWERED SMART DRONES
  2026 · 智慧农业 · This paper introduces an AI-driven smart drone framework for precision agriculture, integrating computer vision, machine learning, and sensor technology to enable real-time crop monitoring and disease detection. By trans…
• AgriField-Manipur: A Hybrid Constraint-Based Dataset for Agricultural Decision Support in Data-Scarce Valley Regions (Version 2)
  2025 · 智慧农业 · AgriField-Manipur (Version 2) is a simulated field-level agricultural dataset designed to support machine learning and decision-support research in data-scarce valley agricultural regions, with a focus on the Manipur val…
• Application of Artificial Intelligence In Drug-target Interactions Prediction: A Review
  2025 · AI 安全与对齐 · Predicting drug-target interactions (DTI) is a complex task. With the introduction of artificial intelligence (AI) methods such as machine learning and deep learning, AI-based DTI prediction can significantly enhance spe…
• Digital Transformation in Smart Farm and Forest Operations Needs Human-Centered AI: Challenges and Future Directions
  2022 · 智慧农业 · The main impetus for the global efforts toward the current digital transformation in almost all areas of our daily lives is due to the great successes of artificial intelligence (AI), and in particular, the workhorse of …
• Sentinel-Augmented Reinforcement Learning with One-Step Ahead Predictive Safety Filtering
  2026 · AI Agent 生态 · Reinforcement learning (RL) consists of a general trial-and-error learning structure in which an agent, based on observations, receives rewards or punishments according to the action taken. This approach has proven to be…
• Sentinel-Augmented Reinforcement Learning with One-Step Ahead Predictive Safety Filtering
  2026 · AI Agent 生态 · Reinforcement learning (RL) consists of a general trial-and-error learning structure in which an agent, based on observations, receives rewards or punishments according to the action taken. This approach has proven to be…
• Hybrid machine learning framework for simulating biological yield in food systems using environmental and agronomic determinants
  2026 · 智慧农业 · Research Hypothesis This study tests the hypothesis that a hybrid machine‑learning framework integrating enhanced evolutionary feature selection (Bees Royalty Offspring Algorithm, BROA) with Gradient Boosting Regression …
• Hybrid machine learning framework for simulating biological yield in food systems using environmental and agronomic determinants
  2026 · 智慧农业 · Research Hypothesis This study tests the hypothesis that a hybrid machine‑learning framework integrating enhanced evolutionary feature selection (Bees Royalty Offspring Algorithm, BROA) with Gradient Boosting Regression …
• AI-Augmented Disaster Recovery Simulations: From Chaos Engineering to Autonomous Resilience Orchestration
  2020 · AI Agent 生态 · Artificial Intelligence (AI) has fundamentally redefined the paradigm of disaster recovery (DR), evolving it from a static, compliance-driven exercise into a proactive, intelligence-led discipline that unites predictive …
• AI-Augmented Disaster Recovery Simulations: From Chaos Engineering to Autonomous Resilience Orchestration
  2020 · AI Agent 生态 · Artificial Intelligence (AI) has fundamentally redefined the paradigm of disaster recovery (DR), evolving it from a static, compliance-driven exercise into a proactive, intelligence-led discipline that unites predictive …
• Reward Modeling for Multi-Agent Orchestration
  2026 · AI Agent 生态 · Multi-Agent Systems (MAS) built on Large Language Models (LLMs) require effective orchestration to coordinate specialized agents, yet training such orchestrators is hindered by limited supervision and high computational …
• AEVAL: From Anecdotal to Deterministic Testing for Agentic Skill Workflows
  2026 · AI Agent 生态 · Modern agentic systems increasingly rely on skills: installable packages of natural language and code that teach an LLM agent to perform a domain task. As skill repositories grow, developers need automated quality signal…
• Learning to Compose for Cross-domain Agentic Workflow Generation
  2026 · AI Agent 生态 · Automatically generating agentic workflows -- executable operator graphs or codes that orchestrate reasoning, verification, and repair -- has become a practical way to solve complex tasks beyond what single-pass LLM gene…
• LLM-as-a-Verifier: A General-Purpose Verification Framework
  2026 · AI Agent 生态 · Scaling pre-training, post-training, and test-time compute have become the central paradigms for improving the capabilities of LLMs. In this work, we identify verification, the ability to determine the correctness of a s…
• Opportunities in AI/ML for the Rubin LSST Dark Energy Science Collaboration
  2026 · AI 安全与对齐 · The Vera C. Rubin Observatory's Legacy Survey of Space and Time (LSST) will produce unprecedented volumes of heterogeneous astronomical data (images, catalogs, and alerts) that challenge traditional analysis pipelines. T…
• From Sycophantic Consensus to Pluralistic Repair: Why AI Alignment Must Surface Disagreement
  2026 · AI 安全与对齐 · Pluralistic alignment is typically operationalised as preference aggregation: producing responses that span (Overton), steer toward (Steerable), or proportionally represent (Distributional) diverse human values. We argue…
• AgentDoG 1.5: A Lightweight and Scalable Alignment Framework for AI Agent Safety and Security
  2026 · AI 安全与对齐 · Modern open-world agents such as OpenClaw exhibit powerful cross-environment execution capabilities yet introduce broad new safety risk sources. Meanwhile, advanced frontier AI models drastically lower attack barriers, r…
• Deployment-Aligned Low-Precision Neural Architecture Search for Spaceborne Edge AI
  2026 · AI 安全与对齐 · Designing deep networks that meet strict latency and accuracy constraints on edge accelerators increasingly relies on hardware-aware optimization, including neural architecture search (NAS) guided by device-level metrics…

以 API 获取该主题全量数据

# 主题词表（含本主题的站点分布与年度分布）
curl http://data.swarmlabs.tools/api/topics.json

# 主题共现知识图谱
curl http://data.swarmlabs.tools/api/graph.json

需要按主题批量拉取、导出 BibTeX 或接入 AI Agent？查看 数据下载与格式 或 MCP 接入。