This article explains what embeddings are, how they capture semantic similarity, and how to use OpenAI's embedding API to transform a custom knowledge base into vector representations for efficient search, retrieval, and question‑answering.
Amid growing concerns that AI like ChatGPT could replace many jobs, this article outlines nine practical rules—ranging from cultivating unexpected, social, and scarce skills to deliberately limiting digital dependence and fostering human‑centric networks—to help professionals remain indispensable and thrive alongside intelligent machines.
OpenAI has released a free iOS ChatGPT app with Whisper‑powered voice input and syncable chat history, promises an Android version in the coming weeks, and highlights speed improvements, privacy features, and its impact on third‑party alternatives.
This guide explains what ChatGPT plugins are, why they matter, how to enable them, and showcases popular extensions that let the model fetch real‑time data, access private knowledge bases, automate tasks, and even generate images or code.
This article explains why effective prompt design—covering system messages, few‑shot learning, non‑dialogue scenarios, explicit instructions, output shaping, syntax cues, task decomposition, chain‑of‑thought, and real‑world context—is essential for reliable large language model results and provides practical examples and tips.
The QTest and QClient technical journey event on May 23, 2023 features multiple expert talks on performance testing, AI‑enhanced frontend engineering, Serverless visualisation, user‑behavior replay, and a new React framework, along with registration details, promotional items, and recruitment information.
This article shares China Mobile IT Center's four‑year journey of designing, deploying, and refining a centralized AIOps platform that automates anomaly detection, fault diagnosis, and remediation, dramatically reducing complaint ticket handling from ten to six hours while scaling to billions of AI model calls per month.
LakeSoul, China's only open‑source lakehouse project, has been donated to the LF AI & Data Foundation, becoming its first lake‑warehouse framework and offering ACID‑guaranteed high‑concurrency upserts, a high‑performance Rust‑based I/O layer, real‑time data‑warehouse capabilities, and seamless AI/BI integration for modern big‑data applications.
The article reports the sudden passing of renowned IT architect Chen Hao, massive layoffs at Alibaba's DAMO autonomous driving lab, Bing's shrinking market share despite AI integration, the launch of a Chinese beta for Midjourney, and a notable drop in Stack Overflow traffic as developers shift toward AI coding tools.
This article explains how Cassandra’s newly added vector data type and ANN search capabilities empower AI developers to store, index, and query high‑dimensional embeddings at scale, enabling use cases such as image retrieval, recommendation, and large‑language‑model integration.
This article explains practical principles and techniques for crafting clear, specific prompts for ChatGPT, demonstrates how to structure prompts with separators and output formats, and provides a step‑by‑step guide—including code examples—for installing the OpenAI Python library, obtaining an API key, and writing a reusable get_completion function to interact with the model.
This article examines the technical background, core AI‑assisted perceptual encoding methods, practical implementations, and performance results of Baidu's intelligent video cloud, showing how content‑aware preprocessing, ROI‑based bitrate allocation, and AI‑enhanced super‑resolution can dramatically reduce bandwidth consumption while improving user experience.
The article analyzes how Stack Overflow's monthly traffic has fallen sharply in 2023, contrasting this trend with the explosive growth of AI services like ChatGPT and GitHub, and discusses the platform's strategic responses including content bans, layoffs, and new AI‑focused product plans.
This article presents the Music XR Maker framework and its four core components—music-driven system architecture, dance generation, lip-sync driven by singing voice, and expressive singing facial animation—detailing data sources, AI generation pipelines, 3D rendering, product applications, and future research directions.
This tutorial explains how to integrate Tencent Cloud's facial recognition services with the ThinkPHP framework, covering SDK installation, API key setup, and sample code for face detection, comparison, and identification using PHP.
This guide walks you through registering for Alibaba Cloud, enabling Function Compute and NAS, creating a Stable Diffusion application from a template, configuring the admin console, uploading the model, optionally building a custom Docker image, and troubleshooting common issues, all with step‑by‑step instructions and code examples.
This article demonstrates how B‑end designers can leverage AI image generators such as Stable Diffusion and Midjourney to accelerate visual creation, reduce reliance on complex 3D tools, and achieve up to 80% productivity gains through practical prompts, workflow steps, and post‑processing techniques.
Using eight years of Chinese recruitment data, the article analyses how large language models like GPT could automate specific tasks across thousands of jobs, presents the most and least vulnerable occupations, and explores the relationship between wage growth, job experience, and AI replaceability.
This article explains what a GPU is, compares its architecture to CPUs, explores its strengths in graphics rendering and AI inference, and outlines key specifications such as cores, cache, and memory, providing a clear overview for anyone curious about modern graphics processors.
This article surveys the latest frontier technologies—including GPT‑4, ChatGPT, generative AI, digital humans, VR/AR/MR, 6G, quantum computing, the metaverse, and Web3—explaining their concepts, use cases, and especially how they are reshaping medical services such as remote consultation, virtual diagnosis, wearables, 3D‑printed biomedicine, human augmentation, brain‑computer interfaces, and computational biology.
This article explains the motivation for writing unit tests for shared React hook modules, demonstrates how an AI assistant in the Cursor IDE can generate Jest test cases from a repository, and details the step‑by‑step process of configuring the environment, fixing failing tests, and reflecting on AI's current limitations.
The article examines Baidu’s groundbreaking knowledge‑deep learning dialogue system that earned the 2022 Wu Wenjun AI Science and Technology Award, detailing its technical breakthroughs, patent portfolio, large‑scale deployments, and how it underpins China’s rapid advancement in large language models and AI industry integration.
The survey shows that once language models exceed roughly ten billion parameters they spontaneously acquire two complementary abilities—step‑by‑step reasoning, often elicited by chain‑of‑thought prompts or scratch‑pad training, and the capacity to invoke external tools such as search engines, calculators, or robots—enabling them to retrieve up‑to‑date information, perform complex computations, and act in the world, thereby advancing toward general artificial intelligence.
Mojo, the new programming language announced by Chris Lattner’s Modular AI, combines Python’s usability with C‑level performance, offering seamless interoperability, extensive compiler optimizations, and scalability for AI workloads, positioning itself as a potential breakthrough in machine‑learning infrastructure and development.
This article explains how ChatGPT works by covering the fundamentals of natural language processing, generative language models, deep learning, the Transformer architecture, attention mechanisms, few‑shot learning, and the reinforcement‑learning techniques that align its outputs with human preferences.
This article presents a detailed survey of recent advances in recommendation system technology, covering system architecture, user understanding layers, various recall methods, ranking techniques, auxiliary algorithms such as cold-start and bias modeling, and evaluation metrics, with references to industry practices and academic research.
This guide explains the GPT‑2 background, required software, environment configuration, code modifications for TensorFlow 2.x, data download, execution commands, and sample test results, providing a full step‑by‑step process for local deployment of the model.
This article explains Python machine‑learning basics, covering data splitting, feature and label concepts, key factors for feature selection, and practical tips for building predictive models, while also offering code snippets and visual illustrations to help readers apply these techniques effectively.
Modular's new Mojo language blends Python's ease of use with C‑level performance, leveraging MLIR and hardware acceleration to claim up to 35,000‑fold speed gains, while offering system‑programming features, zero‑cost abstractions, and a path toward a Python superset for AI development.
This talk reviews the recent trend of unifying natural‑language processing and computer‑vision models through shared transformer architectures, masked‑image‑modeling pre‑training, brain‑inspired prediction mechanisms, and practical benefits such as knowledge sharing, multimodal applications, and cost efficiency, while highlighting the evolution of Swin Transformer and its next‑generation variants.
Microsoft has fully opened Bing Chat to all users, introducing multimodal responses, a multilingual Image Creator, persistent chat history, and upcoming plugin support, while sharing usage statistics and outlining weekly update plans that position Bing as an AI‑driven search copilot competing with ChatGPT.
During the Labor Day holiday IBM revealed it will pause hiring for roles it deems replaceable by AI, cutting about 7,800 jobs—primarily in HR and back‑office functions—and expects the move to save roughly $2 billion each year while other tech giants similarly scale back human‑focused positions.
This guide shows how to quickly deploy the open‑source FastChat AI assistant on Alibaba Cloud ASK's serverless Kubernetes platform, covering prerequisites, YAML configuration, GPU handling, verification steps, and three usage scenarios including web UI, API calls, and a VSCode extension.
This article examines the governance of WeChat NLP algorithm microservices, outlining the management, performance, and scheduling challenges they pose, and presents solutions including automated CI/CD pipelines, task‑aware auto‑scaling, DAG‑based service composition, custom Python interpreter PyInter, and an improved Joint‑Idle‑Queue load‑balancing algorithm.
Using eight years of Chinese recruitment data mapped to O*net, the study breaks down occupations into thousands of tasks, lets GPT score each for automation potential, and reveals the top and bottom jobs by AI replacement risk along with the economic factors that drive these trends.
The article reviews Alibaba’s Tongyi Qianwen large‑language model, shares a cooking recipe generated by the AI, presents a SWOT analysis, and provides code examples—including a Spark Scala script for same‑period month‑over‑month calculations and a Java bubble‑sort implementation.
This article explains what time series databases are, outlines their key characteristics, traces their evolution from early real‑time databases to modern solutions, and examines current technical innovations and market trends driving their rapid adoption across IoT, finance, and industrial sectors.
The paper introduces SASS, a scenario-adaptive self-supervised recommendation model that uses contrastive pre-training and multi-layer gating to expand global samples and transfer scene-aware parameters, enabling a single model to deliver personalized recommendations across diverse Taobao ‘SuoSuo’ scenarios while mitigating data sparsity and cross-domain challenges.
The paper proposes a dual‑interest decomposition head‑attention model that uses a feedback‑aware encoding layer, a factorized head attention mechanism, and separate positive/negative interest towers to improve sequence recommendation performance on short‑video and e‑commerce datasets.
This article explains autonomous AI agents—self‑directed systems that set goals, create and prioritize tasks, and iteratively execute them—detailing how they work, real‑world examples, their transformative potential across industries, and practical steps to build or use them.
This article explains how to develop sensor‑less motion-controlled games by leveraging the PP‑TinyPose keypoint detection model and FastDeploy inference tool, detailing the required setup, code snippets, and a reusable PyQt5 framework for creating webcam‑driven interactive demos.
On April 25, Tencent’s Robotics X lab unveiled its self‑developed TRX‑Hand and TRX‑Arm, a three‑finger dexterous hand and a seven‑degree‑of‑freedom arm that combine advanced hybrid actuation, high‑resolution tactile sensors, multi‑modal perception and real‑time planning to perform complex tasks such as cocktail mixing, object catching, and precise insertion.
Richard Sutton’s “The Bitter Lesson” argues that over the past seven decades the most powerful driver of AI progress has been general‑purpose compute and large‑scale search, which consistently surpasses methods that rely on human‑engineered knowledge across domains such as chess, Go, speech recognition, and computer vision.
This article details the evolution of Fudan University's open‑source MOSS series—from the early OpenChat 001 prototype to the current MOSS 003—covering data collection, multilingual capabilities, plugin architecture, model releases on HuggingFace, and how developers can start using the models.
Google announced the merger of DeepMind and Google Brain into a new unit called Google DeepMind, appointing Demis Hassabis as CEO and Jeff Dean as chief scientist, signaling a strategic push toward faster, safer development of artificial general intelligence.
The article details the evolution of the open‑source MOSS series—from OpenChat 001 to MOSS 003—covering data collection, fine‑tuning procedures, multilingual capabilities, plugin architecture, example code for inference, and upcoming releases, providing a comprehensive technical overview for AI practitioners.
OpenMLDB is an open‑source machine‑learning database that delivers a production‑grade, consistent online‑offline feature platform for real‑time AI applications such as recommendation, risk control and fraud detection, offering millisecond‑level feature computation, dual SQL engines, extensive ecosystem integration, and a roadmap of new capabilities.
This article explains how AI‑assisted perceptual video encoding techniques, such as ROI‑based bitrate allocation and content‑aware preprocessing, dramatically reduce bitrate while improving user experience, and describes Baidu Cloud’s "Smart Perceptual Ultra‑Clear" solutions, practical deployments, and future trends in intelligent video codecs.
The article details how Kuaishou’s multimodal AI research, including its K7 trillion‑parameter model and VLUA algorithm, partners with Renmin University’s Gaoling AI Institute to launch a joint lab, produce cutting‑edge papers such as WebBrain and ChatImg, and advance recommendation and search technologies across the short‑video ecosystem.
In an AI‑driven era where knowledge is cheap, the author argues that reading remains valuable for upgrading cognition, shares personal reading methods, and offers a curated 2022 book list spanning communication, thinking, time management, and technical topics.
This article provides algorithm engineers with a comprehensive career roadmap covering three key professional stages, practical planning advice, technical skill sharpening, industry trend analysis, and a detailed Q&A to help navigate the volatile tech job market.
Google is racing to embed AI into its search engine with the new Magi project, aiming to deliver personalized, conversational results while fending off Microsoft’s GPT‑powered Bing and a potential Samsung shift to the rival platform.
This study investigates the capability of ChatGPT, a large language model, to detect common smart‑contract vulnerabilities, evaluates its performance against traditional tools across multiple datasets, and discusses its strengths, limitations, and future potential in blockchain security auditing.
This article explores how artificial intelligence enhances emotional experience design through emotion recognition, personalized services, and sustainable applications, while also highlighting technical, cultural, and privacy challenges and offering practical recommendations for designers to create more empathetic and responsible AI‑driven experiences.
The article presents Alibaba DAMO Academy's large‑scale table pretraining model SPACE‑T, explaining the background and trends of TableQA and Text‑to‑SQL, detailing the model’s design and training data, showcasing its deployment on ModelScope and Alibaba Cloud, and outlining future directions and practical impact.
Cursor is a free, open‑source AI coding editor built on ChatGPT‑3 that supports multiple languages, offers features like code generation, diff comparison, chat‑style assistance, lint fixing, and aims to become a highly efficient development environment through future AI‑driven enhancements.
Despite sensational claims that GPT will eliminate programmers, this analysis argues that AI will reshape rather than eradicate the profession, emphasizing the need for developers to adopt full‑stack and low‑code skills, diversify into business and management roles, and adapt to evolving market demands.
At the 20th GOPS Global Operations Conference in Shenzhen, Huawei expert Liu Yuliang outlined how AI and data can transform telecom network management from a network‑centric to a business‑centric, self‑driving model, highlighting key solutions such as ChatOps, EDNS, AABD Pro, and cross‑vendor topology reconstruction.
The article surveys major large language models—including GPT‑3, T5, LaMDA, Jurassic‑1, MT‑NLG, Gopher, Chinchilla, PaLM, U‑PaLM, OPT, LLaMA, BLOOM, GLM‑130B, and ERNIE 3.0 Titan—explains their architectures, scaling trade‑offs, and then details instruction‑fine‑tuned variants such as T0, FLAN, GPT‑3.5, ChatGPT, GPT‑4, Alpaca and ChatGLM, providing references for further study.
In this interview, Jina AI’s founder Shao Han examines the relationships among generative, perceptual, and decision AI, compares single‑modal and multimodal approaches, discusses large language model development, and evaluates the impact of ChatGPT on search and future AI commercialization.
The article defines pipeline domain design concepts, compares major multimedia frameworks such as FFmpeg, GStreamer, MediaPipe and AVPipeline, and demonstrates a configurable, extensible node‑based architecture that enables fast plugin integration and adaptable audio‑video pipelines across diverse business scenarios and platforms.
This article explains why intelligent customer service improves efficiency, compares it with traditional support, outlines its core functions such as knowledge management and language response, and provides a practical step‑by‑step process for quickly building a simple AI‑powered help desk.
Microsoft has open‑sourced DeepSpeed‑Chat, a DeepSpeed‑based framework that simplifies end‑to‑end training and inference of ChatGPT‑style large language models, offering RL‑HF support, up to 15× speed‑up, massive cost reductions, and scalable performance on Azure for models ranging from billions to hundreds of billions of parameters.
The article shows how developers can transform ChatGPT from a simple Q&A bot into a powerful productivity assistant by mastering prompt engineering and applying it to tasks such as technical document summarization, task decomposition, code reading, optimization, generation, unit‑test creation, and plugin integration, thereby augmenting their workflow.
This article describes Meituan's collaboration with East China Normal University to improve slow‑query performance by combining traditional cost‑based index recommendation with a novel AI‑plus‑data‑driven approach, detailing the overall architecture, modeling process, experimental results, and future plans for large‑model integration.
This article provides a comprehensive overview of AI‑generated content (AIGC) for image creation, explaining the role of diffusion models, the architecture of Stable Diffusion—including CLIP, UNet, and VAE—and the underlying mathematical concepts such as Markov chains, Langevin dynamics, and Gaussian distributions.
This article examines how large language models such as GPT‑1 through GPT‑4 succeed largely due to high‑quality, large‑scale training data, and explains the Data‑centric AI framework—training data development, inference data development, and data maintenance—while discussing prompt engineering, data‑driven improvements, and future trends in AI.
This article chronicles ten years of frontend development, covering the rise of HTML5, CSS3, JavaScript frameworks, build tools, PWA performance, web components, security challenges, essential developer skills, and the emerging fusion of AI with modern web technologies.
The author shares a personal journey of using ChatGPT as a knowledge engine, illustrating six key benefits—answering complex questions, applying Occam's razor, simplifying concepts for beginners, enabling generative learning, fostering T‑shaped expertise, and mastering effective prompting—through concrete examples ranging from metadata explanations to Docker deployment steps.
This article explores how AI, once thought to impact only physical and cognitive labor, is now reshaping creative professions by offering powerful design tools while highlighting the technology's current inability to replicate true intuition and emotion.
The Vicuna-13B open‑source chatbot, fine‑tuned from LLaMA on 70k ShareGPT conversations, matches over 90% of ChatGPT and Google Bard quality while costing only about $300 to train, thanks to memory optimizations, multi‑turn dialogue handling, and cheap spot‑instance training.
This article details a joint research effort between Meituan and East China Normal University that combines cost‑based methods with AI‑driven, data‑centric models to automatically generate and evaluate missing indexes for billions of daily slow queries, improving recommendation accuracy and query performance.
This article highlights six recent open‑source projects on GitHub—including Microsoft’s Semantic‑Kernel SDK, Shell GPT command‑line tool, Feishu GPT productivity bot, Bloop code‑search engine, a GPT‑4 PDF chatbot, and a VSCode ChatGPT extension—showcasing practical AI applications for developers.
A wave of unexpected ChatGPT account bans has sparked panic across social platforms, with users reporting locked accounts, halted registrations, and malfunctioning Plus subscriptions, while speculation ranges from mass‑registration sweeps to API misuse, prompting advice on detection and appeal procedures.
The CCF C³ event at Xiaohongshu gathered leading researchers and industry experts to dissect the latest advances, challenges, and future opportunities in intelligent recommendation and search, including multimodal content handling, decentralized distribution, cold‑start solutions, and the impact of large language models.
This guide explains how to obtain a Microsoft 365 subscription, switch the Office suite to the Dogfood preview channel by editing specific registry keys, update to the latest build, enable the Copilot feature for Word, and restart the application, while warning about the preview's instability and English‑only support.
This article introduces ModelScope's community‑released visual models, detailing the categorization of understanding versus editing models, the two‑stage coarse‑to‑fine segmentation pipeline for matting, and four editing applications—style transfer, portrait beautification, skin enhancement, and anime‑style conversion—while also previewing upcoming sky‑replacement and video‑matting models.
This article presents the design and implementation of the Real‑Time User Understanding Service (RTUS) for the Fliggy travel platform, detailing its architecture, multi‑chain data fusion, model and data reuse techniques, and several AI‑driven algorithms for cold‑start interest representation, intent prediction, and destination forecasting, together with extensive offline and online experimental results.
This article reviews global trends in AI‑driven biopharma, outlines the technical challenges, and details Baidu Intelligent Cloud’s bio‑computing large‑model technologies—including HelixGEM, HelixFold, and HelixFold‑Single—along with their industrial applications in drug design, protein prediction, and mRNA vaccine development.
In this compiled translation of Bill Gates' blog, he argues that generative AI like ChatGPT is a revolutionary technology comparable to the PC and internet, outlining its potential to boost productivity, reshape education and healthcare, reduce global inequality, while also warning of ethical, safety, and societal risks.
The article introduces MindAlpha, a high‑performance distributed machine‑learning platform built for large‑scale, sparse ad‑tech workloads, detailing its architecture, MLOps pipeline, Spark integration, sync/async training strategies, CPU/GPU choices, model‑splitting techniques, and future directions such as model pruning and AutoML.
This article recounts a developer's hands‑on experiment using ChatGPT to generate Flutter code for drawing a yellow five‑pointed star, iteratively refining the design, adding explosion particle animation, and reflecting on the strengths and quirks of in‑context learning AI.
At GDC, Tencent AI Lab demonstrated an AIGC‑driven pipeline that automatically creates massive, realistic 3D city environments—including road networks, diverse building facades, and interior mappings—in weeks instead of years, dramatically accelerating AAA game development.
Last Monday, a Redis client bug caused ChatGPT to leak user conversation histories and personal details of about 1.2% of Plus subscribers, prompting OpenAI to temporarily shut down the service, investigate, and release a patch fixing the underlying Redis‑py issue.
A collection of Zhihu answers reflects on how the release of GPT‑4 has reshaped NLP research, dividing the community into LLM‑enthusiasts and skeptics, discussing the relevance of parsing, resource‑driven research directions, and the existential challenges faced by researchers.
Bill Gates’ recent blog post examines how generative AI like ChatGPT can revolutionize productivity, education, and healthcare, while also highlighting the technology’s potential to exacerbate inequality, raise ethical concerns, and require careful regulation and equitable deployment worldwide.
At the 2023 Global 6G Technology Conference in Nanjing, Baidu’s Chen Shangyi explained that AI is reshaping the traditional chip‑OS‑application IT hierarchy into a chip‑framework‑model‑application stack, highlighting Baidu’s end‑to‑end deployment and three emerging trends—AI‑enhanced communications, storage‑transmission optimization, and real‑time network monitoring.
Bill Gates argues that artificial intelligence is as revolutionary as the PC, internet, and mobile phone, detailing its potential to boost productivity, transform health and education, reduce global inequities, while also warning of risks such as bias, misuse, and loss of control.
The article provides a detailed overview of PyTorch 2.0, highlighting its stable and beta features such as torch.compile, accelerated transformers, MPS backend, new quantization support, and prototype parallelism tools, while emphasizing performance improvements for dynamic shapes, distributed training, and CPU/GPU inference.
This article describes how the Industrial and Commercial Bank of China's software development center created the AI‑driven digital employee “Ruan Xiaoyan,” detailing its functions, user touchpoints, and practical applications such as intelligent customer service, smart workflow automation, and proactive reminders that enhance IT operations efficiency.
This comprehensive guide explores cloud computing fundamentals, key professional roles, essential skills, service models, migration planning, security considerations, operations, governance, serverless computing, and how the cloud fuels AI adoption, offering developers a complete roadmap for success.
In 2022 Baidu’s open‑source ecosystem surged past 1,000 GitHub projects and 20,000 contributors, with flagship initiatives like PaddlePaddle, Apollo 8.0, XuperCore, Apache Doris, bRPC, Teaclave, BFE, Baetyl, HugeGraph and amis achieving major releases, graduations, and industry recognitions.
This article details Meituan's hotel‑travel knowledge graph, describing its background, scene‑recognition challenges, multi‑layer graph architecture, technical modules for knowledge mining, relation discrimination and supply tagging, and its practical applications in search, recommendation, ranking, and risk control, while also outlining future directions and a Q&A session.
The article explains how Arm’s flexible design‑to‑manufacture model, the Neoverse platform, and the new Armv9 features—including SVE2, AI acceleration, and Confidential Compute—are reshaping server‑grade CPUs, boosting performance, security, and ecosystem adoption across cloud providers and hardware vendors.
This article presents a comprehensive analysis of Southeast Asia's fintech landscape, covering market size, demand, full‑stack digital finance services, Akulaku's technical architecture, AI‑driven anti‑fraud solutions, and practical Q&A on real‑time credit and digital banking.
OpenChatKit, released by Together Computer in March 2023, is an open‑source ChatGPT‑like large language model built on GPT‑NeoX‑20B, offering developers fine‑tuned conversational abilities, a modular architecture, retrieval system, and content‑filtering, while also outlining its current limitations and future potential.
This whitepaper reveals how JD’s Linglong instant‑creative generation engine leverages AI, big‑data analytics, and modular design to automate personalized e‑commerce ad creation, presenting data‑driven insights on color, style, and audience preferences across multiple product categories to boost click‑through and conversion rates.
The article reviews Baidu's launch of the multimodal large language model Wenxin Yiyan, compares its literary, business, mathematical, Chinese‑understanding and multimodal abilities with GPT‑4, explains the underlying six‑core technologies and hardware stack, and reports the mixed market and netizen response.
The article describes how YiduCloud builds real‑world medical knowledge graphs and clinical event graphs from heterogeneous hospital systems (EMR, HIS, LIS, RIS) using data aggregation, de‑identification, quality control, NLP‑driven entity extraction, standardisation, graph construction, cleaning, embedding and various AI‑powered applications such as decision support, intelligent diagnosis, automated medical‑record generation and patient recruitment.
Former Harvard professor and ex‑Google engineering head Matt Welsh argues that generative AI tools like ChatGPT and GitHub Copilot will render traditional programming obsolete within three years, urging programmers to become AI teachers, product managers, or code reviewers to stay relevant in the evolving software landscape.
