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AntTech
AntTech
Apr 17, 2025 · Artificial Intelligence

Data+AI Forum at the 18th China Electronics Information Conference (2025) – Speaker Bios and Session Summaries

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.

AIBig DataConference
0 likes · 12 min read
Data+AI Forum at the 18th China Electronics Information Conference (2025) – Speaker Bios and Session Summaries
AntData
AntData
Sep 9, 2024 · Big Data

From Cost‑Efficiency to Value‑Centric: The Evolution of Data Systems in the Data+AI Era

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.

Artificial IntelligenceBig DataData
0 likes · 18 min read
From Cost‑Efficiency to Value‑Centric: The Evolution of Data Systems in the Data+AI Era
Tencent Advertising Technology
Tencent Advertising Technology
Jul 19, 2024 · Artificial Intelligence

The Brutal Aesthetics of Data and Compute: Scaling Laws, Generative AI, and the Evolution of Advertising Systems

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.

AIDataModel Management
0 likes · 11 min read
The Brutal Aesthetics of Data and Compute: Scaling Laws, Generative AI, and the Evolution of Advertising Systems
Test Development Learning Exchange
Test Development Learning Exchange
Jun 23, 2024 · Fundamentals

Mastering Python json.dumps: Basics, Advanced Features, and Best Practices

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.

DataJSONPython
0 likes · 5 min read
Mastering Python json.dumps: Basics, Advanced Features, and Best Practices
Mashang Consumer UXC
Mashang Consumer UXC
May 7, 2024 · Fundamentals

How Designers Can Master Data: From Guarding Basics to Persuasive Power

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.

DataDesignanalytics
0 likes · 15 min read
How Designers Can Master Data: From Guarding Basics to Persuasive Power
Bilibili Tech
Bilibili Tech
Nov 14, 2023 · Artificial Intelligence

Data & AI Con Shanghai 2023: Conference Overview

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.

AIBig DataConference
0 likes · 3 min read
Data & AI Con Shanghai 2023: Conference Overview
DataFunSummit
DataFunSummit
Nov 1, 2023 · Artificial Intelligence

DataFunCon2023 Shenzhen: Program Overview and Session Highlights

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.

AIGCArtificial IntelligenceBig Data
0 likes · 50 min read
DataFunCon2023 Shenzhen: Program Overview and Session Highlights
Model Perspective
Model Perspective
Oct 13, 2023 · Fundamentals

Why Simple Models Outperform Complex Ones: Lessons from Mathematical Modeling

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.

DataIterationmathematical modeling
0 likes · 8 min read
Why Simple Models Outperform Complex Ones: Lessons from Mathematical Modeling
Efficient Ops
Efficient Ops
Mar 15, 2023 · Operations

How Human‑Machine Collaboration Is Redefining Operations with AIOps

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.

AIOpsDataHuman-Machine Collaboration
0 likes · 11 min read
How Human‑Machine Collaboration Is Redefining Operations with AIOps
Java Architecture Diary
Java Architecture Diary
Sep 24, 2021 · Backend Development

What Makes Spring the Top Java Framework in 2021? Survey Insights Revealed

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.

DataJavaKubernetes
0 likes · 9 min read
What Makes Spring the Top Java Framework in 2021? Survey Insights Revealed
Laravel Tech Community
Laravel Tech Community
Sep 4, 2020 · Fundamentals

Comprehensive Collection of Regular Expressions for Data Validation

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.

DataValidationbackend
0 likes · 5 min read
Comprehensive Collection of Regular Expressions for Data Validation
JD Retail Technology
JD Retail Technology
Aug 27, 2020 · Artificial Intelligence

Academia vs. Industry in AI: Differences, Development Challenges, and Collaborative Opportunities

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.

AIARAcademia-Industry
0 likes · 15 min read
Academia vs. Industry in AI: Differences, Development Challenges, and Collaborative Opportunities
Python Programming Learning Circle
Python Programming Learning Circle
Jan 14, 2020 · Fundamentals

Essential Python Libraries: A Comprehensive Guide to Tools for Development, Data, AI, and More

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.

AIDataLibraries
0 likes · 47 min read
Essential Python Libraries: A Comprehensive Guide to Tools for Development, Data, AI, and More
DataFunTalk
DataFunTalk
Jul 19, 2019 · Artificial Intelligence

From the Pre‑Recommendation Era to the Bronze Age: Evolution of Recommendation Systems and Mitigating the Matthew Effect

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.

AlgorithmsDataRanking
0 likes · 25 min read
From the Pre‑Recommendation Era to the Bronze Age: Evolution of Recommendation Systems and Mitigating the Matthew Effect
Architects' Tech Alliance
Architects' Tech Alliance
Oct 17, 2017 · Artificial Intelligence

AI Learning Resources and Architecture Overview – A Curated Collection

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.

Artificial IntelligenceDatadeep learning
0 likes · 16 min read
AI Learning Resources and Architecture Overview – A Curated Collection