Generative Modeling in Protein Design: Neural Representations, Conditional Generation, and Evaluation Standards Generative modeling has become a central paradigm in protein research, extending machine learning beyond structure prediction toward sequence design, backbone generation, inverse folding, and biomolecular interaction modeling. However, the literature remains fragmented across representations, model…

Generative Modeling in Protein Design: Neural Representations, Conditional Generation, and Evaluation Standards – Generative modeling has become a central paradigm in protein research. The literature remains fragmented across representations, model classes... https://tinyurl.com/2bab8x38 #SurveyAI

A Comprehensive Survey on Vector Database: Storage and Retrieval Technique, Challenge As high-dimensional vector data increasingly surpasses the processing capabilities of traditional database management systems, Vector Databases (VDBs) have emerged and become tightly integrated with large language models, being widely applied in modern artificial intelligence systems. However, exis…

A Comprehensive Survey on Vector Database: Storage and Retrieval Technique, Challenge – High-dimensional vector data increasingly surpasses the processing capabilities of traditional database management systems. VDBs have become tightly integrated with large... https://tinyurl.com/29w4w2jd #SurveyAI

Mathematics and Machine Creativity: A Survey on Bridging Mathematics with AI This paper presents a comprehensive overview on the applications of artificial intelligence (AI) in mathematical research, highlighting the transformative role AI has begun to play in this domain. Traditionally, AI advancements have heavily relied on theoretical foundations provided by mathematics…

Mathematics and Machine Creativity: A Survey on Bridging Mathematics with AI – This paper presents a comprehensive overview on the applications of artificial intelligence (AI) in mathematical research. Traditionally, AI advancements have heavily relied on th... https://tinyurl.com/299ys4rl #SurveyAI

From Instruction to Output: The Role of Prompting in Modern NLG Prompt engineering has emerged as an integral technique for extending the strengths and abilities of Large Language Models (LLMs) to gain significant performance gains in various Natural Language Processing (NLP) tasks. This approach, which requires instructions to be composed in natural language t…

From Instruction to Output: The Role of Prompting in Modern NLG – Prompt engineering has emerged as an integral technique for extending the strengths and abilities of Large Language Models. There is still no structured framework or coherent understanding of... https://tinyurl.com/2dja3rz9 #SurveyAI

Graph-based Agent Memory: Taxonomy, Techniques, and Applications Memory emerges as the core module in the Large Language Model (LLM)-based agents for long-horizon complex tasks (e.g., multi-turn dialogue, game playing, scientific discovery), where memory can enable knowledge accumulation, iterative reasoning and self-evolution. Among diverse paradigms, graph sta…

Graph-based Agent Memory: Taxonomy, Techniques, and Applications – Memory emerges as the core module in the Large Language Model (LLM)-based agents for long-horizon complex tasks. Memory can enable knowledge accumulation, iterative reasoning and self-evoluti... https://tinyurl.com/2xml8tlu #SurveyAI

A Survey of 3D Reconstruction with Event Cameras Event cameras are rapidly emerging as powerful vision sensors for 3D reconstruction, uniquely capable of asynchronously capturing per-pixel brightness changes. Compared to traditional frame-based cameras, event cameras produce sparse yet temporally dense data streams, enabling robust and accurate 3…

A Survey of 3D Reconstruction with Event Cameras – Event cameras are rapidly emerging as powerful vision sensors for 3D reconstruction. They are uniquely capable of asynchronously capturing per-pixel brightness changes. These capabilities offer substanti... https://arxiv.org/abs/2505.08438 #SurveyAI

Frontiers | Physician perceptions of artificial intelligence in Northern Italy healthcare: a survey of fears and expectations IntroductionArtificial Intelligence (AI) is more and more spreading but despite the clear evidence of benefits related to its implementation, many physicians...

Physician perceptions of artificial intelligence in Northern Italy healthcare: a survey of fears and expectations – Survey of 362 doctors in northern Italy. 98% of the responders believe that AI will improve medical activities. The legal problems, the worsen... https://tinyurl.com/25u44td2 #SurveyAI

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Embedding in Recommender Systems: A Survey – Survey presents a comprehensive analysis of recent advances in recommender system embedding techniques. We examine centralized embedding approaches across matrix, sequential, and graph structures. We introduce eme... https://tinyurl.com/2am5qqka #SurveyAI

A Comprehensive Review of Recommender Systems: Transitioning from Theory to Practice Recommender Systems (RS) play an integral role in enhancing user experiences by providing personalized item suggestions. This survey reviews the progress in RS inclusively from 2017 to 2024, effectively connecting theoretical advances with practical applications. We explore the development from tra…

A Comprehensive Review of Recommender Systems: Transitioning from Theory to Practice – This survey reviews the progress in Recommender Systems from 2017 to 2024. The primary goal of this survey is to bridge theory with practice. It addresses challenges acros... https://tinyurl.com/25he53rt #SurveyAI

A Survey of Foundation Models for IoT: Taxonomy and Criteria-Based Analysis Foundation models have gained growing interest in the IoT domain due to their reduced reliance on labeled data and strong generalizability across tasks, which address key limitations of traditional machine learning approaches. However, most existing foundation model based methods are developed for…

A Survey of Foundation Models for IoT: Taxonomy and Criteria-Based Analysis – foundation models have gained growing interest in the IoT domain due to their reduced reliance on labeled data and strong generalizability across tasks. Most existing foundation mo... https://tinyurl.com/29vossup #SurveyAI

A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems Recent advances in large language models have sparked growing interest in AI agents capable of solving complex, real-world tasks. However, most existing agent systems rely on manually crafted configurations that remain static after deployment, limiting their ability to adapt to dynamic and evolving…

A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems – Recent advances in large language models have sparked growing interest in AI agents. Most existing agent systems rely on manually craf... https://tinyurl.com/2by4fpno #SurveyAI

A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives Machine learning (ML) models have significantly grown in complexity and utility, driving advances across multiple domains. However, substantial computational resources and specialized expertise have historically restricted their wide adoption. Machine-Learning-as-a-Service (MLaaS) platforms have ad…

A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives – Model Extraction Attacks (MEAs) pose threats to intellectual property, privacy, and system security. We propose a novel taxonomy that classifies MEAs according... https://tinyurl.com/22b2wedt #SurveyAI

A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives Machine learning (ML) models have significantly grown in complexity and utility, driving advances across multiple domains. However, substantial computational resources and specialized expertise have historically restricted their wide adoption. Machine-Learning-as-a-Service (MLaaS) platforms have ad…

A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives – Model Extraction Attacks (MEAs) pose threats to intellectual property, privacy, and system security. We propose a novel taxonomy that classifies MEAs according... https://tinyurl.com/22b2wedt #SurveyAI

A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives Machine learning (ML) models have significantly grown in complexity and utility, driving advances across multiple domains. However, substantial computational resources and specialized expertise have historically restricted their wide adoption. Machine-Learning-as-a-Service (MLaaS) platforms have ad…

A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives – Model Extraction Attacks (MEAs) pose threats to intellectual property, privacy, and system security. We propose a novel taxonomy that classifies MEAs according... https://tinyurl.com/22b2wedt #SurveyAI

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OS Agents: A Survey on MLLM-based Agents for General Computing Devices Use The dream to create AI assistants as capable and versatile as the fictional J.A.R.V.I.S from Iron Man has long captivated imaginations. With the evolution of (multi-modal) large language models ((M)LLMs), this dream is closer to reality, as (M)LLM-based Agents using computing devices (e.g., compute…

OS Agents: A Survey on MLLM-based Agents for General Computing Devices Use – The dream to create AI assistants as capable and versatile as the fictional J.A.R.V.I.S from Iron Man has long captivated imaginations. With the evolution of (multi-modal) large lan... https://tinyurl.com/234a5mde #SurveyAI

Towards Efficient Generative Large Language Model Serving: A Survey from Algorithms to Systems In the rapidly evolving landscape of artificial intelligence (AI), generative large language models (LLMs) stand at the forefront, revolutionizing how we interact with our data. However, the computational intensity and memory consumption of deploying these models present substantial challenges in t…

Towards Efficient Generative Large Language Model Serving: A Survey from Algorithms to Systems – Generative large language models (LLMs) stand at the forefront, revolutionizing how we interact with our data. computational intensity and memory consumption of... https://tinyurl.com/2a9hvfba #SurveyAI

Hyperspectral Anomaly Detection Methods: A Survey and Comparative Study Hyperspectral images are high-dimensional datasets comprising hundreds of contiguous spectral bands, enabling detailed analysis of materials and surfaces. Hyperspectral anomaly detection (HAD) refers to the technique of identifying and locating anomalous targets in such data without prior informati…

Hyperspectral Anomaly Detection Methods: A Survey and Comparative Study – Hyperspectral anomaly detection (HAD) refers to the technique of identifying and locating anomalous targets in such data. This technology has seen rapid advancements in recent years, w... https://tinyurl.com/ywn3rzgp #SurveyAI

A Comprehensive Survey on Deep Learning Solutions for 3D Flood Mapping Flooding remains a major global challenge, worsened by climate change and urbanization, demanding advanced solutions for effective disaster management. While traditional 2D flood mapping techniques provide limited insights, 3D flood mapping, powered by deep learning (DL), offers enhanced capabiliti…

A Comprehensive Survey on Deep Learning Solutions for 3D Flood Mapping – Flooding remains a major global challenge, worsened by climate change and urbanization. 3D flood mapping, powered by deep learning (DL), offers enhanced capabilities by integrating floo... https://tinyurl.com/yqx5oglk #SurveyAI

Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models Recent advancements in reasoning with large language models (RLLMs), such as OpenAI-O1 and DeepSeek-R1, have demonstrated their impressive capabilities in complex domains like mathematics and coding. A central factor in their success lies in the application of long chain-of-thought (Long CoT) chara…

Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models – Long chain-of-thought (Long CoT) characteristics enhance reasoning abilities and enable the solution of intricate problems. Survey seeks to fill this gap by offeri... https://tinyurl.com/2xx7mwoq #SurveyAI

A Survey on Patent Analysis: From NLP to Multimodal AI Recent advances in Pretrained Language Models (PLMs) and Large Language Models (LLMs) have demonstrated transformative capabilities across diverse domains. The field of patent analysis and innovation is not an exception, where natural language processing (NLP) techniques presents opportunities to s…

A Survey on Patent Analysis: From NLP to Multimodal AI – Natural language processing can streamline and enhance important tasks in the patent cycle. This not only accelerates the efficiency of patent researchers and applicants, but also opens new avenues for... https://tinyurl.com/224cf5ub #SurveyAI

Multimodal Machine Learning in Mental Health: A Survey of Data, Algorithms, and Challenges Multimodal machine learning (MML) is rapidly reshaping the way mental-health disorders are detected, characterized, and longitudinally monitored. Whereas early studies relied on isolated data streams -- such as speech, text, or wearable signals -- recent research has converged on architectures that…

Multimodal Machine Learning in Mental Health: A Survey of Data, Algorithms, and Challenges – Multimodal machine learning (MML) is rapidly reshaping the way mental-health disorders are detected, characterized, and longitudinally monitored. This survey provide... https://tinyurl.com/253zmato #SurveyAI

Generalizing Vision-Language Models to Novel Domains: A Comprehensive Survey Recently, vision-language pretraining has emerged as a transformative technique that integrates the strengths of both visual and textual modalities, resulting in powerful vision-language models (VLMs). Leveraging web-scale pretraining data, these models exhibit strong zero-shot capabilities. Howeve…

Generalizing Vision-Language Models to Novel Domains: A Comprehensive Survey – Vision-language pretraining has emerged as a transformative technique that integrates the strengths of both visual and textual modalities. This survey aims to comprehensively summ... https://tinyurl.com/27hxvnej #SurveyAI

A Survey of Foundation Models for IoT: Taxonomy and Criteria-Based Analysis Foundation models have gained growing interest in the IoT domain due to their reduced reliance on labeled data and strong generalizability across tasks, which address key limitations of traditional machine learning approaches. However, most existing foundation model based methods are developed for…

A Survey of Foundation Models for IoT: Taxonomy and Criteria-Based Analysis – foundation models have gained growing interest in the IoT domain due to their reduced reliance on labeled data and strong generalizability across tasks. Most existing foundation mo... https://tinyurl.com/29vossup #SurveyAI

A Comprehensive Survey on Vector Database: Storage and Retrieval Technique, Challenge Vector databases (VDBs) have emerged to manage high-dimensional data that exceed the capabilities of traditional database management systems, and are now tightly integrated with large language models as well as widely applied in modern artificial intelligence systems. Although relatively few studie…

A Comprehensive Survey on Vector Database: Storage and Retrieval Technique, Challenge – vector databases (VDBs) have emerged to manage high-dimensional data that exceed the capabilities of traditional database management systems. VDBs are now tightly integra... https://tinyurl.com/29w4w2jd #SurveyAI

The Scales of Justitia: A Comprehensive Survey on Safety Evaluation of LLMs With the rapid advancement of artificial intelligence technology, Large Language Models (LLMs) have demonstrated remarkable potential in the field of Natural Language Processing (NLP), including areas such as content generation, human-computer interaction, machine translation, and code generation…

The Scales of Justitia: A Comprehensive Survey on Safety Evaluation of LLMs – Large Language Models (LLMs) have demonstrated remarkable potential in the field of Natural Language Processing (NLP) However, their widespread deployment has also raised significa... https://tinyurl.com/246vzmhd #SurveyAI

Vision-Language Models for Edge Networks: A Comprehensive Survey Vision Large Language Models (VLMs) combine visual understanding with natural language processing, enabling tasks like image captioning, visual question answering, and video analysis. While VLMs show impressive capabilities across domains such as autonomous vehicles, smart surveillance, and healthc…

Vision-Language Models for Edge Networks: A Comprehensive Survey – Vision Large Language Models (VLMs) combine visual understanding with natural language processing. VLMs show impressive capabilities across domains such as autonomous vehicles, smart surveill... https://tinyurl.com/29lvabm7 #SurveyAI

Anomaly Detection and Generation with Diffusion Models: A Survey Anomaly detection (AD) plays a pivotal role across diverse domains, including cybersecurity, finance, healthcare, and industrial manufacturing, by identifying unexpected patterns that deviate from established norms in real-world data. Recent advancements in deep learning, specifically diffusion mod…

Anomaly Detection and Generation with Diffusion Models: A Survey – Anomaly detection (AD) plays a pivotal role across diverse domains, including cybersecurity, finance, healthcare, and industrial manufacturing. Recent advancements in deep learning, specifica... https://tinyurl.com/279hxk7j #SurveyAI

A Survey of the Self Supervised Learning Mechanisms for Vision Transformers Vision Transformers (ViTs) have recently demonstrated remarkable performance in computer vision tasks. However, their parameter-intensive nature and reliance on large amounts of data for effective performance have shifted the focus from traditional human-annotated labels to unsupervised learning an…

A Survey of the Self Supervised Learning Mechanisms for Vision Transformers – Self-supervised learning (SSL) has emerged as a promising paradigm. SSL leverages inherent relationships within the data itself as a form of supervision. We propose a comprehensive... https://tinyurl.com/2br3jmfe #SurveyAI