When @Data and @Builder are used together on a Lombok‑annotated class, the generated code can lose getters, setters, and the no‑argument constructor, leading to compilation failures; the article explains the cause and shows how to fix it with @NoArgsConstructor and @RequiredArgsConstructor.
This article provides a comprehensive, step‑by‑step explanation of Ray Data's LogicalPlan architecture, covering its class hierarchy, core methods, logical operators, optimization rules, planning from logical to physical operators, execution binding, metadata inference, lineage serialization, and the full file/module index for developers building scalable data pipelines.
The 18th China Electronics Information Conference will be held in Chengdu from April 17‑21, 2025, featuring the DATA+AI forum that gathers leading academicians and industry experts to discuss data‑AI integration, with detailed speaker biographies, presentation titles, and abstracts covering topics such as large‑model inference, cloud‑edge ultrasound diagnostics, and the future of databases in the AI era.
In this speech, academician Wang Jian reflects on the short, seven‑year history of modern AI, distinguishes AI, AI+ and AI infrastructure, explains how data, models and compute power have become the new foundational layer, and examines the roles of Google, OpenAI, transformers, and cloud services in shaping today’s AI revolution.
The article reviews the rapid advances in generative AI and big‑data technologies, traces the historical development of data infrastructure, and argues that modern data systems are shifting from a cost‑efficiency focus to a value‑centric paradigm driven by multimodal, non‑structured data, vector search and machine‑oriented services.
This article explains how the scaling law—massive data, compute, and a simple transformer architecture—drives generative AI breakthroughs, how Tencent applied this principle to build larger ad models and the "Hunyuan" large model, and how advertising systems must evolve to truly understand content and users.
This article provides a comprehensive guide to Python's json.dumps function, covering basic serialization, formatting options, handling special data types, encoding considerations, performance tweaks, and real‑world usage examples to help developers serialize data efficiently and safely.
This article walks designers through three progressive stages—Guard, Break, and Leave—to understand why data matters, how to select and apply it effectively, and how to avoid common pitfalls like Simpson's paradox, ultimately turning data into a strategic tool rather than a constraint.
Data & AI Con Shanghai 2023, hosted by Shishuo on November 18, will include a main forum and seven sub‑forums covering modern data architecture, data engineering, large‑model deployment, AI infrastructure and generative AI, featuring over 40 leading engineers and researchers from Intel, NVIDIA, ByteDance, AWS, Microsoft and Tencent, with free online registration.
DataFunCon2023 Shenzhen showcases a comprehensive program featuring expert talks on building Data+LLM applications, large-scale storage, cloud‑native architectures, metric systems, data governance, AB testing, and industry‑specific large language model use cases across finance, gaming, advertising, and more, providing valuable insights for practitioners and researchers alike.
The article shares key insights from Dr Wu Jun’s book on mathematical modeling, emphasizing the power of simplicity, iterative refinement, abundant accurate data, and noise analysis while also offering broader philosophical reflections on problem‑solving, algorithms, education, and information.
When Lombok's @Data and @Builder annotations are used together, the generated no‑argument constructor disappears, causing compilation errors; this article explains the root cause, demonstrates the problem with code examples, and provides two reliable solutions using @Tolerate or a combination of @RequiredArgsConstructor and @NoArgsConstructor.
The article explores how AIOps, a human‑machine collaborative approach powered by data, algorithms, and contextual knowledge, transforms modern operations by enabling real‑time insight, predictive decision‑making, automated execution, and continuous feedback, especially in complex, security‑sensitive environments like finance.
The article outlines three technology waves—from PC internet to mobile internet and now the Internet of Everything—explains JD's IoT team's practical experiences with device and scene digital twins, edge computing, and data-driven intelligence, and offers a forward‑looking view on how these technologies will reshape industries.
This article explains why combining Lombok's @Data and @Builder annotations removes the automatically generated no‑argument constructor, demonstrates the compilation process behind Lombok, and provides two practical solutions using @Tolerate or @RequiredArgsConstructor/@NoArgsConstructor to restore the missing constructor.
At the WISE2021 China Digital Innovation Summit, Zhongtong Express CTO Zhu Jingxi detailed the company's digital transformation journey, highlighting the impact of electronic waybills, data-driven operations, AI routing, and privacy security on reshaping the logistics supply chain and boosting efficiency.
The article explains what a digital transformation strategy is, how it strategically leverages IT and data, outlines practical steps for implementation, and describes organizational, talent, technology, and governance measures needed to ensure successful enterprise digital transformation.
The article explains that while a Vue root instance can define its data as an object or a function, a component's data must be a function to avoid shared memory between instances, illustrating the issue with code examples and detailing Vue's option‑merge validation.
A 2021 Spring ecosystem survey shows that Spring Data, Spring Security, Spring WebMVC, Kotlin adoption, API importance, modern architectures, Spring Native, and Kubernetes integration dominate developer choices, highlighting Spring's continued dominance in enterprise Java development.
This article presents a comprehensive collection of 50 SQL interview questions, complete with sample queries that demonstrate various operations such as joins, subqueries, aggregations, updates, and deletions on student, course, teacher, and enrollment tables.
An extensive compilation of regular expressions covering numeric, character, email, URL, phone, ID, password, date, IP, and other validation patterns, complete with examples and explanations, providing developers a ready reference for implementing robust input validation across various programming contexts.
The article compares academic and industrial AI research by examining leadership, team composition, research focus, funding, compute resources, and data usage, outlines core AI elements and development challenges, presents JD's AR try‑on and try‑shoe projects, and proposes collaboration models and talent‑exchange mechanisms to bridge the two worlds.
This article walks through using Elasticsearch SQL to query data, covering installation, loading sample datasets, describing index schemas, executing simple and complex SQL queries with functions, converting SQL to Elasticsearch DSL, reindexing, alias management, and performance considerations, all illustrated with code snippets.
The article explains the nature of raw data, defines metrics as data combined with business scenarios, introduces five‑question criteria for good indicators, and compares two popular metric‑system frameworks—the Pirate Metrics (AARRR) model and the First‑Key‑Metric method, illustrating their application in business decision‑making.
This article compiles a comprehensive list of over fifty free, unlimited-use API interfaces covering phone number lookup, historical events, stock data, weather forecasts, ID verification, jokes, currency exchange, and many other services, each with direct documentation links for developers.
This article presents an extensive, organized catalog of Python libraries covering file handling, image processing, game development, big data, artificial intelligence, networking, web frameworks, security, GUI creation, testing, and deployment, offering concise descriptions to help developers quickly discover the right tools for any project.
The article traces the historical development of recommendation systems from early manual and hot‑ranking methods through natural ranking and machine‑learning‑based scoring, discusses the Matthew effect and its mitigation via randomization, multi‑objective weighting, and pipeline architectures, and outlines modern personalization and recall strategies for e‑commerce platforms.
The article defines knowledge as feature representations that solve problems, outlines the three components of intelligent systems, highlights AI’s historic significance, predicts its development trends, and presents a systematic innovation framework emphasizing data, policy, and market-driven approaches.
This guide answers common beginner questions about deep learning, covering the essential hardware (especially GPUs and why Nvidia dominates), recommended software libraries, the choice between dynamic and static computation graphs, production considerations, required coding background, and how small datasets can still yield powerful models.
This article presents a comprehensive collection of AI, machine learning, and deep learning learning materials, including historical overviews, technology architectures, application domains, and numerous downloadable resources such as tutorials, datasets, and code links, aimed at guiding enthusiasts and professionals in intelligent operations.
This article explains how a running program's code and variables are organized in Linux memory, covering virtual address mapping, the purpose of each segment (text, rodata, data, bss, stack, heap), and demonstrates the concepts with concrete C examples and memory‑map screenshots.
In his 2016 Future Forum keynote, Alibaba CTO Wang Jian likens the internet, data, and computing to fire, the discovery of new continents, and the steam engine, arguing they are transformative forces that reshape humanity, industry, and scientific progress.
Kevin Kelly’s three‑hour Stanford talk predicts a shift to an "oxygen" era where wireless data, personal‑device communication, AI, blockchain and immersive technologies will dominate, reshaping business models, innovation cycles and the very way we share and monetize information over the next two decades.
