The article examines Lu Qi’s departure from Baidu, debunks rumors of his joining Bitmain, outlines his impressive career, and analyzes how his future choices reflect broader challenges in Chinese tech companies’ culture, governance, and global talent integration.
This article explains AIOps—Artificial Intelligence for IT Operations—its impact on traditional automation, and details how four key roles (Operations Engineer, Operations R&D Engineer, Platform R&D Engineer, and Operations AI Engineer) evolve in responsibilities and required skills within the AIOps era.
This paper presents GXN, a generative cross‑modal feature learning framework that enhances image‑text retrieval by incorporating both high‑level semantic similarity and fine‑grained local matching through a three‑step Look‑Imagine‑Match process, achieving state‑of‑the‑art results on MSCOCO and Flickr30K.
At ACM SIGIR 2018, Didi presented AI‑driven intelligent‑transportation research—including a ride‑sharing preference prediction paper, keynote insights on smart dispatch, maps and traffic, collaborations with over twenty cities and numerous universities, open data initiatives, and plans for new thematic research programs.
The article examines the growing skepticism around deep learning, citing industry leaders, safety incidents, and expert opinions to argue that while AI hype may be waning, the field is entering a transitional phase rather than an outright winter, with diverse viewpoints from researchers, companies, and the broader community.
The article provides a comprehensive overview of the AAAI 2018 conference, including submission statistics, country rankings, popular research tracks, award-winning papers, detailed summaries of notable AI papers such as GraphGAN, HARP, PrivSR, and domain adaptation, as well as Ant Financial's own contributions like cw2vec and privacy‑preserving recommendation systems.
The article outlines how to build a credit‑based content management platform by describing the evolution of security practices, defining user‑generated, professional‑generated, and occupational content models, proposing a credit‑audit workflow with risk assessment, and presenting AI‑driven text classification and anti‑cheat methods to balance traffic, quality, and trust.
Accenture's 2018 Technology Vision outlines five pivotal trends—Citizen AI, Extended Reality, True Data, Large‑Scale Collaboration, and the Intelligent Internet—explaining how they reshape business models, customer relationships, and the underlying infrastructure needed for future growth.
The article provides a detailed technical breakdown of Google Duplex, explaining how its speech recognition, natural language understanding, dialogue management, and speech synthesis modules work together to produce task‑oriented, natural‑sounding conversations and discussing challenges such as handling refusals, conditional responses, context management, and future scalability and safety concerns.
The article details Ctrip's mature real‑time anti‑fraud platform, describing its big‑data parallel processing, AI‑driven models, device‑fingerprinting, CDNA service, and evolving architecture that together achieve sub‑150 ms decision latency while handling billions of daily transactions.
This article surveys Qihoo 360’s notable open‑source projects—including distributed system testing tools, high‑performance storage services, AI scheduling platforms, database alternatives, frontend frameworks, mobile plugin solutions, and development utilities—highlighting their purposes, key features, and public GitHub repositories.
This article explains how cloud computing, big data, and artificial intelligence are interrelated, describing the evolution from physical resource management to virtualized, elastic services, the roles of IaaS, PaaS, and SaaS, and how each technology benefits the others in modern applications.
This article summarizes Dr. Pei Dan's 2018 GOPS Shenzhen presentation on AIOps in traditional sectors, especially finance, covering industry outlook, AIOps concepts and value, practical deployment directions, common concerns, a recent challenge competition, and future prospects for autonomous IT operations.
Scientists suggest that mimicking the brain’s serotonin‑driven neuromodulation could give AI systems human‑like reasoning and emotional processing, while researchers at USC’s AI Lab are applying advanced machine‑learning patrol‑randomization and risk‑assessment algorithms, such as the ARMOR platform, to predict and prevent crimes like poaching.
This article curates a ranked list of twelve deep‑learning books, from beginner‑friendly guides to comprehensive textbooks, describing each title’s focus, strengths, and ideal audience, helping readers choose the right resource to start or deepen their AI knowledge.
In this keynote, Alibaba's chief scientist explains how voice AI serves as the natural interface for IoT, detailing the company's strategy to connect billions of devices through cloud infrastructure, AI-driven perception, and multimodal interaction across consumer and industrial applications.
Non‑technology companies are rapidly adopting artificial intelligence, driving a surge in AI‑related M&A and talent acquisition, while the FCC's unanimous approval of SpaceX's 4,425‑satellite Starlink project promises worldwide 1 Gbps broadband, albeit with challenges like space debris and spectrum interference.
In his Money 20/20 Asia keynote, Ant Group CTO Cheng Li outlines the company’s fintech roadmap, highlighting AI‑driven risk engines, blockchain‑based trust mechanisms, cloud‑native infrastructure, and innovative mobile payment solutions that aim to make financial services more inclusive and efficient.
This article explains the origins and goals of cloud computing, how virtualization adds flexibility in time and space, the evolution from physical servers to public and private clouds, the role of IaaS, PaaS, and SaaS, and how big data and artificial intelligence intertwine with cloud services to enable modern intelligent applications.
This article outlines the concept, goals, principles, capability levels, platform architecture, team roles, common scenarios, and practical implementation path of AIOps, showing how AI can enhance quality, cost efficiency, and automation in modern IT operations.
The article commemorates Stephen Hawking’s life, outlines his groundbreaking work in cosmology and black holes, and highlights his profound reflections on artificial intelligence, including his 2017 speech and numerous predictions about AI’s future impact on humanity.
At Money 20/20 Asia 2018, Ant Financial’s CTO Cheng Li highlighted how blockchain, artificial intelligence, security, IoT and computing underpin the company’s B.A.S.I.C strategy to expand mobile payments, reduce risk, and promote financial inclusion worldwide.
The article examines China’s push for big data sharing, highlighting Representative Zhang Jindong’s calls for a national open data platform, integration of AI and blockchain, and urgent legislation to address data fragmentation, security risks, and the need to empower SMEs against data monopolies.
The article explores how the integration of cloud computing, big data, and artificial intelligence is reshaping enterprise data platforms, outlining a multi‑stage evolution from data unification to ecosystem building and forecasting the strategic importance of data in future business transformation.
This article compares Python, C++, Java, Lisp, and Prolog, outlining their strengths and weaknesses for artificial intelligence projects to help beginners decide which language to start with.
This article details JD's evolution from rule‑based recommendations to a multi‑screen, AI‑driven personalization platform, describing its system architecture, data pipelines, feature services, and key technologies that enable real‑time, user‑centric product suggestions across the e‑commerce ecosystem.
In an exclusive interview, UCloud’s R&D Director Ye Lideng shares how the company’s CBA strategy, AI‑first products, and innovative cloud services empower startups, drive industry adoption, and shape the future of artificial intelligence and cloud computing in China.
The JD Big Data R&D team announced that three of its research papers—covering cross‑domain human parsing, multi‑view outlier detection, and orthogonal weight normalization for deep neural networks—were accepted at the prestigious AAAI‑2018 conference, highlighting the department's contributions to computer vision, data mining, and deep learning.
The 2017 Chinese high school curriculum reform adds artificial intelligence, big‑data processing, algorithms, IoT and open‑hardware design to mandatory and elective information‑technology courses, expanding students' choices and emphasizing programming, data literacy, and security awareness.
The Ant Financial ATEC Conference in Silicon Valley showcased leading fintech experts discussing the company’s BASIC strategy—spanning Artificial Intelligence, Blockchain, Security, IoT, and Computing—while presenting new open‑source services and outlining future global technology outreach.
Natural Language Processing, a branch of AI, is traced from its Turing origins through early rule‑based methods, statistical and deep‑learning paradigms, covering lexical analysis, syntax, semantics, knowledge graphs, and current applications, highlighting historical shifts, challenges, and future research directions.
Analyzing 2017’s big data boom, the article explores how the 4V characteristics—volume, variety, velocity, and value—spurred innovations like distributed storage, NoSQL, real‑time stream processing, and AI integration, and predicts future hotspots such as SQL resurgence, cloud‑based platforms, and AI‑driven analytics.
The 2017 Python roundup highlights its surge as the leading language for AI, data science, and software development, covering its dominance in hiring, migration to GitHub, academic recognition, educational adoption, and major ecosystem updates such as Django 2.0 and the Tangent library.
The December 20 Knowledge Graph symposium in Hangzhou, organized by Alibaba and the Chinese Society of Computational Linguistics, gathered leading Chinese scholars who discussed the pivotal role of massive knowledge graphs in AI, natural language processing, knowledge engineering, reasoning, and data‑driven intelligence.
In this thought‑provoking talk, Alibaba’s chief architect Wang Jian explores the nature of real innovation, the role of confidence, and how data‑centric, distributed cloud architectures can empower AI, city‑brain initiatives, and the next generation of technology leaders.
The article examines how emerging AI and big‑data technologies are reshaping insurance by enabling differentiated pricing, automating claims and customer service, strengthening fraud detection, and improving personalized product recommendation and operational efficiency across the sector.
From foundational concepts to practical examples, this guide walks engineers through ten essential supervised and unsupervised machine‑learning algorithms—decision trees, Naïve Bayes, linear regression, logistic regression, SVM, ensemble methods, clustering, PCA, SVD, and ICA—explaining their theory, real‑world uses, and why they matter.
The O2O Machine Learning Applications Seminar, featuring experts from Meituan‑Dianping and Alibaba, explores real‑world ML implementations for online‑to‑offline services, including online learning for search, Alibaba’s Ali Xiaomi intelligent assistant, deep‑learning‑driven recommendation systems, and advertising algorithms such as CTR and CVR optimization, sharing practical insights and best practices.
In this reflective piece, a senior Alibaba iDST engineer shares three years of backend and big‑data platform experience, detailing project challenges, distributed rate‑limiting solutions, personal growth, and ongoing AI research, while offering insights on technical leadership and career choices.
Eric Schmidt warned that China is rapidly closing the AI gap with the United States, citing policy, talent, and investment challenges while highlighting Google's AI applications, recruitment efforts in China, and the need for coordinated national talent strategies.
Google’s AutoML system has begun generating machine‑learning code that outperforms the very researchers who created it, achieving record‑high accuracy on image‑recognition tasks and demonstrating a self‑replicating AI that challenges the notion of human superiority in programming.
Pornhub unveiled an AI model that uses computer‑vision techniques to automatically recognize and tag over ten thousand adult performers, allowing users to search more precisely while also involving human reviewers to verify and improve the system’s accuracy.
The article profiles Salesforce chief scientist Richard Socher, detailing his journey from founding MetaMind to advancing deep‑learning‑based natural language processing in Einstein AI, while highlighting his views on AI ethics, data bias, and the ongoing debate between humanist and AI‑extinction perspectives.
The 2017 GitHub Octoverse report reveals the platform’s massive growth and ranks the top fifteen programming languages, highlighting Python’s surge, JavaScript’s dominance, and the rising influence of AI‑related projects such as TensorFlow.
Alibaba’s newly launched DAMO Academy, announced at the 2017 Cloud Expo, brings together ten distinguished scientists—including three Chinese academicians and five U.S. Academy members—to spearhead groundbreaking research in AI, quantum computing, security, chip technology, and other frontier fields, aiming to outlast the company itself.
Former Tencent CTO Xiong Minghua shares his career journey, analyzes the three eras of the Internet, and argues that mastering vertical‑field service robots could create a hundred‑billion‑dollar company, while outlining his investment criteria for the next Internet 3.0 champion.
A recent ZeroFOX experiment showed an AI system sending malicious tweets far faster than humans, prompting Elon Musk to highlight the growing threat of AI‑driven hacking, while security experts at Black Hat predict widespread AI weaponization in the near future.
At the 2nd China Big Data International Summit 2017, JD’s chief architect presented how machine‑learning techniques are applied across e‑commerce to improve product data quality, ensure compliance, resolve image‑text mismatches, automate category identification, restructure titles, and build a multi‑dimensional product knowledge graph.
This article shares Tencent’s practical journey of simplifying, smartening, and deepening operations through the Cloud Operations Console, covering R&D structures, management modes, standardization, AI‑driven monitoring, and real‑world case studies that illustrate how modern DevOps can evolve in the era of AI and large‑scale services.
Professor Shi Yaoyun, now Alibaba Cloud’s chief quantum scientist, discusses his move from academia to industry, the company’s ambitious quantum computing and quantum cryptography initiatives, their integration with cloud services, potential impacts on AI and big data, and the broader challenges and future directions of quantum technology.
IBM applies cognitive computing to IT operations by continuously learning from massive data, modeling correct behaviors, and recommending automated actions, while leveraging big‑data processing, machine‑learning‑based predictive insights, and micro‑service automation to reduce incidents and operational costs.
This article surveys emerging technology trends—from AI‑generated art and audio interaction to smart buildings, autonomous vehicles, drones, and virtual‑reality experiences—highlighting how artificial intelligence is poised to reshape creativity, industry, and daily life in the coming years.
This article compiles over twenty‑seven curated cheat sheets covering machine learning algorithms, Python data‑science libraries, and essential mathematics such as probability, linear algebra, statistics, and calculus, providing concise reference images and source links for quick study.
This article presents Michael I. Jordan's keynote on artificial intelligence, covering his background, diverse AI perspectives, current research challenges across vision, speech, language and robotics, future ten‑year visions, ethical concerns, and highlights Berkeley RISELab's Ray platform for scalable AI workloads.
Kunpeng is a unique distributed platform that seamlessly integrates large‑scale system architecture with parallel optimization algorithms, delivering fault‑tolerant, high‑performance machine‑learning capabilities for billions of samples and features, and outperforming Spark, MPI, and XGBoost in real‑world Alibaba applications.
This week’s front‑end roundup covers Storybook 3.2’s Vue support, Webpack’s first‑class WebAssembly push, WebKit’s PWA plans, a browser‑based neural‑network framework, Coinbase’s $100 M raise, TensorFlow 1.3 updates, Netflix’s Vectorflow, Visual Studio 2017 preview, and Angular AOT memory limits.
The article chronicles Andrew Ng’s life—from his early education and family background to his pioneering roles at Google, Stanford, and Baidu—highlighting his AI breakthroughs, philosophy on learning, and the launch of deeplearning.ai courses that aim to build an AI‑driven society.
The article summarizes Dr. Qi Yuan’s presentation at CCAI 2017, detailing Ant Financial’s AI‑driven solutions for financial services—including risk control, intelligent assistants, large‑scale machine learning, reinforcement‑learning marketing, a model‑service platform, and a computer‑vision damage‑assessment system—while highlighting technical challenges, platform architecture, and the company’s open‑tech philosophy.
The article summarizes the 2017 China AI Conference’s Intelligent Finance forum, featuring Ant Group’s AI director Li Xiaolong’s presentation on AI‑driven financial services, academic perspectives on AI‑finance research, and detailed case studies of intelligent customer service, credit scoring, and AI architecture.
Former Amazon senior principal scientist Ren Xiaofeng joins Alibaba's iDST as chief scientist and vice dean, sharing his reasons for choosing Alibaba, the institute's AI ambitions, and how his computer‑vision expertise will drive Alibaba's future technologies.
Core ML is Apple’s on‑device machine‑learning framework that integrates deep‑learning, decision‑tree, SVM and linear models into iOS apps, leveraging Accelerate, BNNS and Metal Performance Shaders, and the article demonstrates its use with a ResNet‑50 model, Vision APIs, and complete Objective‑C code.
Cowen’s 2017 report reveals that 81% of IT leaders are investing in AI, highlights digital marketing, CRM and data analytics as the most mature AI/ML applications, forecasts explosive market growth, and underscores the rapid rise of AI startups and enterprise adoption of intelligent application stacks.
At the 15th China ECR Conference in Hangzhou, JD.com’s Vice President Ma Song highlighted the company’s technology‑driven twelve‑year roadmap, showcasing smart supply‑chain solutions powered by big data and artificial intelligence that improve forecasting, pricing, inventory, and collaboration while enhancing the retail experience.
This article introduces reinforcement learning and deep reinforcement learning, explains key algorithms such as DQN and policy gradients, discusses black‑box optimization and the cross‑entropy method, and provides resources and code examples for further study.
JD.com's JData Algorithm Competition concluded with record-breaking participation, awarding 600,000 yuan in prizes and offering special employment opportunities to top performers, while showcasing how AI and big data enhance e-commerce experiences.
This article chronicles Fei‑Fei Li’s inspiring personal journey from a modest immigrant background to becoming Stanford’s AI lab director, and then debunks ten common machine‑learning myths, highlighting the limits, misconceptions, and practical realities of AI today.
The ACM TURC 2017 conference in Shanghai gathered Turing Award laureates, leading Chinese scholars, and Alibaba executives, highlighting breakthroughs in artificial intelligence, big data, streaming and graph computing, and showcasing AI-driven medical imaging diagnostics and collaborative research initiatives between industry and academia.
The JD Data Algorithm Competition aims to help shoppers overcome decision paralysis by using advanced algorithms to match users with products they'll love, featuring diverse participants from students to professionals competing for prizes and potential real-world implementation.
This article introduces deep learning architecture as a new style of machine‑learning systems, explains the concept of pattern language for describing complex solutions, and outlines the book’s structure covering theory, methods, canonical patterns, model and memory patterns, learning approaches, and practical applications.
This article defines artificial intelligence as a branch of computer science that aims to simulate and extend human intelligence, outlines its key research areas such as robotics and natural language processing, and presents a detailed visual timeline from TalkingData that charts the technology’s major milestones.
The fourth Meitu Internet Technology Salon showcased practical AI and machine learning uses, highlighting Meipai’s text‑anti‑spam, hot‑topic detection, sentiment analysis and personalized video search, while Baidu demonstrated ML‑driven business intelligence tools for multi‑source data mining, user profiling, and intelligent enterprise and HR management.
At the 2017 China (Shenzhen) IT Leaders Summit, top executives from Tencent, Baidu, Microsoft and Digital China debated the four essential elements for AI advancement—scenarios, big data, computing power, and talent—while addressing data security, openness, and the broader impact of artificial intelligence on industry and society.
Industry 4.0, driven by IoT, artificial intelligence, big data and cloud computing, represents a new manufacturing era; this article outlines its historical stages, nine supporting technologies, three core characteristics, strategic approaches, eight key factors, eight values, and the Chinese adaptation, illustrated through extensive visual content.
An in‑depth interview chronicles Xu Haiyang’s rise from a modest rural upbringing to becoming Baidu’s chief search architect, detailing his early education, rapid career progression, the humble beginnings of Baidu’s search infrastructure, and his later work in neural networks and AI research.
This article provides a concise overview of sixteen popular Python machine‑learning libraries—including scikit‑learn, NLTK, Theano, and Orange—detailing their main features, typical use cases, and where to find their project pages, making it a handy reference for data‑science practitioners.
The talk outlines nine essential computing capabilities—transaction processing, system robustness, connectivity, decision-making, data insight, intelligent services, biometric authentication, blockchain trust, and immersive integration—that have transformed Ant Financial over the past decade and outlines the challenges and strategies for the next ten years.
The article recounts the author’s experience at AAAI‑2017 in San Francisco, summarizes key talks, panels and award‑winning papers, and details Ctrip’s hybrid collaborative‑filtering model with a stacked denoising auto‑encoder that improves recommendation performance and addresses data sparsity.
The discussion explores how PHP engineers can advance their careers by embracing new technologies such as Go, Python, big data, AI, and cloud computing, while also emphasizing soft‑skill growth, project management, and strategic decision‑making based on business trends and personal goals.
The article explains how rapid advances in cloud computing, big data, IoT and artificial intelligence are reshaping business, turning traditional enterprises into data‑driven, intelligent organizations that rely on automated decision‑making and real‑time customer interaction.
This article shares practical engineering experiences for deploying machine learning models in various scenarios—real‑time low‑volume predictions via Rserve or Python‑httpserve, high‑throughput real‑time serving with PMML‑wrapped Java classes, and offline batch predictions using simple shell scripts—detailing tools, performance considerations, and implementation steps.
The article reviews the rapid progress of deep learning at Google, its historical roots, key breakthroughs by researchers like Kurzweil and Hinton, current applications across speech, vision and medicine, and the ongoing challenges of building truly intelligent artificial brains.
The article explains that while machine learning has advanced with abundant courses, textbooks, and frameworks, engineers still face hard debugging problems due to algorithmic, implementation, data, and model dimensions, leading to exponential difficulty and long feedback loops that demand intuition and systematic testing.
The article explores the gap between popular sci‑fi depictions of AI and today’s limited capabilities, explains the three levels of AI, discusses natural‑language processing hurdles, and reviews current research approaches such as evolutionary algorithms, neural networks, and large‑scale machine‑learning projects.
Ctrip announced that its AI‑driven recommendation system paper, titled “A Hybrid Collaborative Filtering Model with Deep Structure for Recommender Systems,” has been accepted by the prestigious AAAI conference, highlighting the company’s cutting‑edge deep‑learning techniques, large‑scale deployment, and broader AI innovations in travel services.
The MIT Technology Review article highlights how Alibaba leveraged massive, high‑quality big data, AI, and cloud computing during its Double 11 shopping festival to set new e‑commerce benchmarks, improve personalization, ensure data security, and showcase its ambition to build global digital infrastructure.
Alibaba's Natural Artificial Intelligence team leveraged ensemble learning, deep neural networks, and advanced NLP techniques to improve search ranking metrics by over 21%, winning the prestigious CIKM Cup competition and showcasing the commercial impact of AI in e‑commerce.
Voice interaction offers scenario‑aware, hands‑free experiences that let users handle multiple tasks simultaneously, overcoming the visual focus of traditional GUIs, and its design benefits from Nielsen’s usability heuristics, cloud AI, and big‑data‑driven context awareness.
Baidu’s recent announcement of a brand‑wide upgrade to "Baidu Cloud" highlights its strategic push into cloud services, AI integration, and market competition, illustrating how the company aims to become a major growth driver amid a rapidly expanding Chinese cloud computing industry.
In a Seattle tech forum, Alibaba CTO Zhang Jianfeng highlighted the company’s reliance on high‑quality data, large‑scale computing platforms, and efficient algorithms, describing why Alibaba positions itself as a big‑data company and outlining its current and future technology initiatives across cloud, AI, and IoT.
The Ctrip Technology Center hosted a deep learning meetup in Shanghai featuring academic and industry experts who presented applications of AI in tourism, advertising, natural language processing, computer vision, knowledge graphs, recommendation systems, and discussed future research directions.
In a 2016 earnings call, Sundar Pichai highlighted Google’s shift toward AI‑driven cloud services, citing AlphaGo’s success, new leadership in the cloud division, and a vision that artificial intelligence will become the primary growth engine surpassing advertising by 2020.
The article analyses Facebook’s F8 conference, explaining how its focus on live‑video APIs, 360° video, VR/AR, AI‑powered Messenger bots and Free Basics reflects a strategic push to deepen the Facebook platform as the core organizer of future digital interactions.
Uber’s CTO Thuan Pham revealed at a Chinese tech salon how the company’s global architecture, data‑center strategy, cloud partnership with Baidu, anti‑fraud machine‑learning models, map localization and big‑data analytics together enable a unified yet locally adapted ride‑sharing platform across China and the world.
Li Kaifu’s 2016 Silicon Valley tour revealed emerging trends in robotics, AI, VR/AR, and Google’s ambitious data‑driven strategy, highlighting insights from industry leaders like Andy Rubin, Boston Dynamics, and top AI researchers, and offering predictions on how these technologies will reshape global innovation.
This article explains Monte Carlo Tree Search (MCTS), covering its origin in AlphaGo, fundamental algorithm steps, node‑selection strategies such as UCB, strengths and weaknesses, enhancements, historical background, and recent research developments in artificial intelligence.
The article surveys Alphabet’s 2015 initiatives—including AI research at DeepMind, virtual‑reality hardware, autonomous‑driving efforts, robotics, IoT platforms, and experimental products like Google Glass and Tango—highlighting how Google’s restructuring has spawned a sprawling portfolio of cutting‑edge technologies.
The article envisions a future where seamless, context‑aware invisible computers replace fragmented apps, using voice, gesture, AR projection and cognitive AI to simplify tasks like ordering pizza, selecting wine, and navigating, while discussing design challenges, trust, and the evolution of human‑computer interfaces.
This article surveys the main recommendation approaches—including content‑based, collaborative filtering, association‑rule, utility‑based, knowledge‑based, and hybrid methods—detailing their principles, advantages, drawbacks, and typical combination strategies for building effective recommender systems.
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.
This article explains how natural language processing stores word meanings as numeric vectors, builds token dictionaries, represents sentences as binary vectors, and uses dot‑product calculations to measure similarity, illustrating concepts with simple examples and highlighting current limitations and future directions.
