A new 70‑page survey authored by 38 scholars from 13 universities maps the security landscape of embodied AI, organizing risks across five capability layers—from perception to agentic systems—and highlighting how attacks can cascade from digital mis‑outputs to dangerous physical actions.
A joint survey by nine leading research groups maps a decade of audio‑visual intelligence (AVI) progress, presenting an evolution tree, unified taxonomy, three core strands, and six future research axes that together chart the role of AVI in large‑foundation models.
This article surveys recent advances in robot world models, explaining why predictive models are essential for embodied intelligence, how they integrate with Vision‑Language‑Action systems, the various architectural approaches, benchmark trends, and the remaining challenges for reliable deployment.
This survey analyzes the emerging field of Agent Skills, defining a formal skill model, categorizing acquisition pathways, detailing retrieval strategies, and outlining a five‑stage evolution process, while highlighting large‑scale skill repositories and their implications for AI product design.
This survey reviews over 180 papers on the Attention Sink phenomenon in Transformers, outlining its three-stage evolution—from early exploitation to mechanistic interpretation and finally strategic mitigation—while detailing utilization tactics, theoretical explanations, removal techniques, and promising future research directions.
A comprehensive summary of feedback from roughly 60 PHP community members across 18 countries reveals critical insights on operational clarity, communication transparency, fundraising challenges, marketing perception, community growth hurdles, language development processes, and the emerging role of AI within the PHP ecosystem.
A Nature‑published survey of 698 Chinese university students reveals that while perceiving AI tools as highly intelligent can boost critical‑analysis skills, excessive immersion leads to dependence that sharply reduces independent thinking, with notable gender differences in perceived intelligence and reliance.
This extensive survey presents a panoramic view of AI memory, introducing a novel 4W classification, detailing single‑agent and multi‑agent memory architectures, outlining evaluation metrics, showcasing real‑world applications, and highlighting open challenges and emerging research directions.
This survey examines the emerging LLM‑RL collaborative recommendation paradigm, outlining its research background, five main collaboration patterns, standardized evaluation protocols, and the key challenges and future directions for building smarter, more robust recommender systems.
This survey examines the evolution of multi‑agent communication—from early hand‑crafted protocols in MARL, through emergent discrete languages, to recent large‑language‑model‑driven approaches—using a unified "five W" framework to analyze who communicates, what, when, why, and how.
A survey of 437 Chinese university teachers reveals that despite flexible, non‑desk‑based schedules, the average weekly work time is 52.3 hours—18.8% above the legal limit—and that gender, rank, administrative duties and personality traits significantly influence work hours and fatigue levels.
The 2026 JavaScript developer survey of tens of thousands of frontend engineers highlights chronic issues with the native Date object, growing adoption of TypeScript, mixed opinions on Webpack and Next.js, and strong enthusiasm for ES2026 features like the Temporal API, which is now supported in major browsers and poised to replace legacy date handling.
This article surveys recent advances in neural network reprogrammability, presenting a unified framework that categorizes model reprogramming, prompt tuning, prompt instruction, and in‑context learning, highlights the shift from parameter‑centric to reprogrammability‑centric adaptation, and provides efficiency analyses, taxonomy, and practical case studies.
This article surveys the emerging field of AI agent memory, presenting a three‑dimensional taxonomy of memory forms, detailing functional categories such as factual, experiential, and working memory, and outlining dynamic processes of formation, evolution, and retrieval, while also highlighting benchmarks, open‑source frameworks, and future research directions.
This article surveys over 200 recent papers on AI agent memory, introducing a three‑dimensional framework of form, function, and dynamics, classifying memory into token‑level, parametric, and latent types, outlining their roles, lifecycle operations, benchmark datasets, open‑source frameworks, and seven emerging research directions.
This article surveys recent advances in applying reinforcement learning to large reasoning models, outlining the historical background, key breakthroughs like OpenAI o1 and DeepSeek‑R1, current challenges in reward design and scalability, and future research directions toward more capable AI systems.
This article surveys 183 recent attention‑mechanism papers, classifies them into four innovation categories, and highlights representative works such as MILA, ARFFT, CNN‑Transformer for speech emotion, and LSTM‑attention epidemic forecasting, providing concrete methods, code links, and performance insights.
This survey formalizes the shift from preference‑based reinforcement fine‑tuning to Agentic Reinforcement Learning, defines Agentic RL via MDP/POMDP abstractions, proposes a dual taxonomy of capabilities and task domains, compiles over 500 recent works, and outlines open challenges for scalable, robust AI agents.
This comprehensive survey reviews the rapid progress of multimodal understanding and text‑to‑image generation models, categorises existing unified architectures into diffusion‑based, autoregressive, and hybrid paradigms, analyses their tokenisation strategies, datasets and benchmarks, and highlights current challenges and future research directions.
The two‑year iLogtail community survey reveals that high performance, container‑friendly design, and a rich plugin ecosystem drive adoption, while users request better documentation, a more active development roadmap, and improved configuration tools to boost community participation and ecosystem growth.
Based on a 1988 survey of 68 readers who scored 24 famous mathematical theorems, this article presents a ranked list with average scores and brief explanations, revealing which results are considered the most beautiful in mathematics.
A 2023 survey of 663 Java professionals reveals a sharp decline in Oracle Java's market share, with 86% planning or already migrating to OpenJDK alternatives due to cost, licensing uncertainty, audit risk, and a preference for open‑source solutions, while highlighting migration timelines, satisfaction, and emerging pricing models.
The 2024 XOps Forum in Beijing showcased a new era of smart operations, unveiling a record‑breaking AIOps survey that highlights rapid investment growth, rising adoption of large language models, evolving maturity levels, and key challenges such as model accuracy and data quality across Chinese enterprises.
This article surveys the rapidly evolving field of Neural Code Intelligence, outlining its historical paradigms, key code models from RNNs to large language models, essential datasets and benchmarks, cross‑domain collaborations, practical applications, and promising research directions.
A 2024 survey of Go developers reveals strong interest in building AI applications but frustration over Python's dominant ecosystem, highlighting performance priorities, tooling gaps, and a desire for Go libraries comparable to Python's, while also showing cloud platform preferences and IDE usage trends.
The 2023 State of Java report, based on a survey of over 2,000 Java professionals, reveals that Java adoption stays strong with most companies using LTS versions, migrating to the cloud, confronting rising costs and security challenges, while Oracle's market share declines in favor of OpenJDK alternatives.
Despite Python 3’s dominance, a 2022 survey of over 23,000 developers shows that a notable minority still rely on Python 2 for data analysis, graphics, and DevOps, highlighting lingering legacy usage, regional variations, and the factors influencing language adoption across the global community.
A GitLab 2023 survey of over 10,000 DevSecOps professionals reveals that only 23% of teams have adopted AI in their software development lifecycle, while up to 90% plan to use it, highlighting training needs, security concerns, and the growing importance of AI for competitiveness.
Based on a privacy‑compliant click‑stream panel of 20 million devices across 200+ countries, this report examines ChatGPT’s global usage trends, revealing a decline in overall traffic, dominant programming and education use cases, and the most frequent user commands such as “Write”, “Create”, and “List”.
The 2022‑2023 CNBPA survey of 399 central and state‑owned enterprises reveals that despite tightened IT budgets, cloud‑native technologies—especially integrated full‑stack platforms, dual‑stack IT architectures, and platform engineering—remain top investment priorities driving digital transformation across multiple industry sectors.
The recent GraalVM community survey reveals that 65% of respondents already use or plan to use GraalVM in production, with native image creation, polyglot APIs, and Java being the most popular use cases, while challenges include library support and better error diagnostics.
The 2023 GitLab DevSecOps survey of over 5,000 IT leaders, CISOs, and developers across multiple industries reveals heightened security focus, growing AI/ML use in testing, and persistent tool‑chain management obstacles that hinder productivity and compliance efforts.
The 2022 State of CSS and State of JS surveys, which collected 14,310 CSS and 39,472 JavaScript responses, reveal demographic details, highlight rapidly adopted CSS features like flex gap, aspect‑ratio, and :has, showcase popular JavaScript language enhancements such as nullish coalescing and top‑level await, and expose developers' satisfaction, usage, and pain points across frameworks, tools, and browsers.
Based on responses from 5,752 developers, the 2022 Q2 Go survey uncovers rapid adoption of generics, low awareness of built-in fuzz testing, major security concerns around third-party dependencies, challenges in error handling, and preferences for tooling and platforms, offering a comprehensive snapshot of the Go ecosystem.
As cloud computing becomes essential infrastructure, cloud‑native systems gain flexibility but face stability challenges, prompting China’s Academy of Information and Communications Technology to launch a 2022 chaos engineering survey that uncovers vulnerabilities and promotes practical adoption of reliability techniques across the industry.
The fourth‑phase cloud‑native technology survey of central state‑owned enterprises collected 306 valid questionnaires across multiple industries, revealing growing IT budgets, widespread multi‑cloud adoption, high usage of containers and DevOps, and a strategic focus on stability, performance, and business innovation during digital transformation.
This article surveys recent deep learning approaches for matching in search and recommendation systems, presenting a unified view of matching, categorizing methods into representation learning and matching function learning, and detailing model architectures from input to output layers, while highlighting broader applications such as QA and image captioning.
The article introduces the 2022 China AIOps Current Situation Survey, explains how rapid data growth and digital transformation are driving intelligent operations, outlines the joint effort of over 60 enterprises to compile the report, and invites industry professionals to contribute their insights through an online questionnaire.
China’s AIOps industry, highlighted in the 2022 “China AIOps Status Survey” led by CAICT and major telecom and cloud firms, examines the rise of intelligent operations since Gartner’s 2016 definition, detailing its role in digital transformation, infrastructure upgrades, and a detailed five‑month research timeline.
This 2022 Rust ecosystem report surveys the language’s project health, application trends in fields such as machine learning, GUI, networking, blockchain, and cloud native, as well as job market distribution and educational adoption, providing a comprehensive map of Rust’s current landscape and future prospects.
Based on 1,016 valid questionnaire responses and 17 enterprise interviews, the 2021 China Chaos Engineering Survey Report reveals low software system stability, limited adoption of chaos engineering, its positive impact on availability, and provides data‑driven recommendations for improving stability through mature tools, metrics, and cultural shifts.
This article examines the rise of VS Code as the leading development environment, citing a 4000‑person survey, Microsoft’s roadmap for Java support, comparisons with IDEs like IntelliJ IDEA, and discusses why developers favor its lightweight, extensible, and free nature.
The second‑edition Kube‑OVN survey collected 267 valid responses from diverse industries, revealing increased container deployment on virtual machines, a rise in public‑cloud usage, a jump in Kube‑OVN adoption to 40%, growing demand for IPv6/dual‑stack and multi‑tenant networking, and user expectations centered on KubeVirt, VPC enhancements, and eBPF integration.
A recent Mendix research report, based on surveys of over 1,200 IT professionals and 800 developers across six countries, reveals that the pandemic has accelerated low‑code adoption, with 77% of enterprises using it, driving faster development, lower costs, and greater IT diversity.
The 2021 China DevOps Landscape Survey, conducted by the Cloud Computing Open Source Industry Alliance with 1,862 valid responses across multiple sectors, reveals that over half of Chinese enterprises have reached comprehensive DevOps maturity, agile development is widespread, DevSecOps adoption exceeds 50%, and IAST tools, especially Xmirror’s LingMai, dominate the security tooling market.
The 2021 ByteDance Modern Web Development survey of 612 developers reveals dominant use of ES6+, TypeScript, Vue and React, widespread adoption of CSS preprocessors, varied backend preferences, and preferred tooling such as Webpack, VSCode, and Prettier, highlighting current trends and gaps in the Chinese front‑end ecosystem.
A comprehensive survey of 612 front‑end developers reveals the dominant use of ES6+, TypeScript, React, Vue, CSS preprocessors, state‑management libraries, build tools, and server‑side rendering approaches in China's modern web development landscape, highlighting trends, preferences, and emerging technologies.
On July 15, 2021, the China Academy of Information and Communications Technology unveiled the 2021 China DevOps Status Survey Report, detailing the nation’s digital transformation, the growing demand for rapid software delivery, the extensive multi‑company survey methodology, and key findings on DevOps adoption and future trends.
This comprehensive survey reviews the latest research on graph neural networks applied to natural language processing, covering graph construction methods, graph representation learning techniques, encoder‑decoder models, static and dynamic graph building, and discusses challenges, benchmarks, and future directions in the field.
The 2021 WebAssembly survey of over 250 developers shows Rust dominates language usage, AssemblyScript climbs, and respondents expect major impact on web, serverless, and containerized applications while calling for better debugging support and richer runtime features.
The 2021 JVM ecosystem report, based on responses from over 2,000 Java developers, highlights the current state of JDK adoption, Java version upgrades, the rise of Kotlin, dominant IDEs and build tools, and Spring's continued dominance in the Java landscape.
The CNCF 2020 China Cloud Native Survey of 439 participants reveals rapid growth in serverless adoption, a surge in container and Kubernetes usage, expanding service mesh deployment, and increasing reliance on open‑source automation tools, highlighting China’s emerging role as a major CNCF contributor.
The article reviews the 2020 State of JS and State of CSS surveys, highlighting global participation, emerging JavaScript features, popular frameworks, CSS layout and animation trends, and how these data-driven insights can guide developers in technology selection and future front‑end development directions.
The CNCF 2020‑2021 Cloud Native Survey in China reveals rapid growth in container usage, widespread adoption of Kubernetes, increased reliance on public cloud, expanding CI/CD and serverless practices, and a surge in the use of CNCF projects, highlighting the maturing cloud‑native ecosystem across Chinese enterprises.
The 2021 China DevOps Survey, launched by the China Academy of Information and Communications Technology with nearly 40 industry partners, invites organizations to assess their DevOps maturity, offers a free report and gifts, and builds on 2020 findings that show growing adoption and varied maturity levels across sectors.
This report analyzes the 2020 Chinese independent developer landscape based on 590 questionnaires and interviews, revealing their demographics, distribution, gender imbalance, income levels, work habits, challenges, and the support they need to thrive as freelancers or small‑team creators.
The 2020 China DevOps Status Survey reveals that while over 60% of companies have adopted DevOps, many still struggle to assess its success, highlighting key performance criteria, maturity levels, and ongoing challenges such as expertise gaps and metric definition.
Hulu’s Generation Stream study, conducted with Culture Co‑Op and industry experts, surveyed 2,500 U.S. viewers aged 13‑54, revealing that 90% watch TV via streaming, identifying three audience segments—‘Stream Most’, ‘Stream Only’, and ‘Stream Also’—and highlighting how streaming reshapes viewing habits and content expectations.
The 2020 review highlights major DevOps standard advancements in China, a comprehensive national DevOps survey with over 1,800 responses, detailed maturity assessments across numerous enterprises, and the progress of the enterprise‑level DevOps empowerment program, illustrating the rapid evolution of DevOps practices and security integration.
A European survey by Honeypot reveals that work‑life balance, flexibility, and continuous learning opportunities matter far more to developers than salary, with German developers especially valuing supportive environments and training, highlighting key factors for improving IT talent satisfaction worldwide.
Learn how to quickly create a questionnaire using SeaTable, automatically collect responses, and run a custom script to randomly select winners, providing a fast, low‑code solution for urgent business needs without a full development cycle.
The 2019 Chinese programmer salary survey reveals that about 80% of developers earn low to medium incomes, with only 20% achieving high salaries, and shows how work experience, region, and other factors influence earnings, illustrating the Pareto principle in the tech industry.
The 2020 Global DevSecOps survey reveals that CI/CD not only speeds up code releases but also automates many manual tasks, fundamentally changing the responsibilities of developers and operations engineers, blurring traditional role boundaries and creating new opportunities for automation and testing.
A 2020 survey of 1,113 Node.js developers, conducted by Ecma members and led by Alibaba and Tencent, reveals demographic trends, preferred languages, frameworks, tools, deployment practices, learning habits, and future interests, providing a comprehensive snapshot of the Node.js ecosystem.
A comprehensive survey of Java developers reveals current JDK vendor preferences, payment habits, version adoption, upgrade motivations, language distribution, Spring framework usage, IDE and build tool popularity, code repository choices, and role demographics across the industry.
This article introduces the 2019 Accelerate State of DevOps survey, explains how to join the questionnaire, provides background on previous reports, shares a detailed interview with Nicole Forsgren about research design and key findings such as architecture, cloud adoption, and outsourcing, and encourages community participation.
The 2018 Rust Survey, the largest and first multilingual community survey, reveals growing adoption, diverse usage patterns, toolchain preferences, and challenges such as learning curve, IDE support, and library maturity, while highlighting the community's welcoming atmosphere and future expectations.
The 2018 Global DevOps State Survey, authored by leading DevOps experts, analyzes data from over 30,000 professionals to identify emerging trends, new elite performance standards, and actionable insights for organizations seeking to accelerate software delivery and operational excellence.
The 2018 Global DevOps State of the World Report, compiled by DORA with contributions from leading experts, presents extensive data from over 30,000 professionals, highlights new trends such as accelerated practices, cloud infrastructure, elite high‑performance organizations, and offers a live online session to help practitioners quickly grasp its valuable findings.
This survey reviews two‑stage and one‑stage deep learning object detection methods—from early R‑CNN and OverFeat to modern Faster R‑CNN, Mask R‑CNN, SSD, and YOLO variants—detailing their architectural advances, training strategies, speed‑accuracy trade‑offs, and benchmark performance for researchers and industry practitioners.
A recent survey of 1,203 Chinese IT workers shows how gender, age, and personal goals shape career choices after 35, highlighting management, entrepreneurship, and continued technical development as the three main routes and offering guidance for planning a second career peak.
The 2018 KDnuggets survey of over 2,000 data‑science professionals shows Python dominating with 66% usage, R dropping below 50%, TensorFlow leading deep‑learning frameworks, RapidMiner gaining traction, SQL remaining stable, Hadoop declining, and regional participation shifting toward Europe.
Based on responses from over 23,000 developers, this survey uncovers the latest JavaScript ecosystem trends—including the dominance of React, the evolving roles of Angular and Vue, rising interest in GraphQL, salary impacts of framework choices, and the expanding use of JavaScript beyond the browser.
A comprehensive survey of Chinese programmers shows they cluster in major cities, face a stark gender imbalance, often work overtime, and can earn up to 500,000 CNY annually, highlighting both the rewards and pressures of the profession.
A recent Eclipse Foundation survey of 713 developers reveals the most popular programming languages and operating systems across constrained IoT devices, gateways, and cloud platforms, highlighting C/C++ dominance, Java's rise, and Linux's prevalence in the IoT ecosystem.
A global survey of 5,254 front‑end developers reveals experience levels, CSS knowledge, popular preprocessors, naming conventions, JavaScript frameworks, task runners, bundlers, testing tools, and offers practical recommendations for the tools to adopt in 2017.
Based on a survey of 300 IT professionals, this report reveals growing DevOps adoption, key motivations such as quality and cost reduction, major obstacles like resource shortages, measurable benefits including cost savings and faster releases, preferred tools, error‑handling practices, and future investment plans.
The KDnuggets 2016 poll of 844 data scientists reveals the most popular algorithms, shifts since 2011, differences in usage across employment sectors, regional participation, and an industry‑academic affinity metric, highlighting a rise in boosting, text mining, visualization, and deep learning while noting declines in association rules and uplift modeling.
The 2016 RightScale cloud computing survey of 1,060 respondents shows rapid growth in DevOps usage, a doubling of Docker adoption, diverse tool combinations, and highlights container challenges such as lack of experience, with Europe leading Docker usage and a strong push for education and practice.
A recent Dresner survey reveals that while most enterprises claim big data is critical, only a minority actually deploy it, and many are already using big‑data techniques without labeling them as such, highlighting a gap between perception and practice.
A recent developer survey reveals the most popular JavaScript libraries, frameworks, module loaders, and unit testing tools, showing jQuery leading with 91.5% interest overall and 56.53% usage in projects, while other tools like React, AngularJS, webpack, and Mocha capture smaller but notable shares.
A month‑long SitePoint survey of developers worldwide shows Laravel as the most popular PHP framework in both team and personal projects, with distinct preferences by country and age group, and highlights the reasons behind its dominance.
