AI research is important because it advances technology that can solve complex problems, improve productivity, and enable smarter decision-making. By exploring how machines can learn and reason, we unlock new possibilities for innovation and help create a better future.
airesearch
The Cloud King's AI Kingdom Before venturing into AI, one must first command the cloud. With nearly a third of the market, AWS's dominance provides an unparalleled foundation for its AI ambitions, generating over $30 billion in revenue in a single quarter. Global Cloud Market Share
AI
A new chapter in the history of technology is being written, one where the cloud is no longer just a utility but a crucible for intelligence. At the heart of this transformation sits Amazon Web Services (AWS), the undisputed giant of cloud infrastructure. But as the world rushes to embrace
AI
Once a niche company celebrated by PC gamers, NVIDIA has undergone a staggering transformation. By recognizing that their Graphics Processing Units (GPUs) were perfect for parallel computing, they inadvertently built the engine for the artificial intelligence boom. This is the story of a visionary pivot that placed NVIDIA at the
AI
Part I: The Architect of a New Age The Denny's Origin Story: A Hunch on a Napkin The story of NVIDIA, a company now synonymous with the artificial intelligence revolution, begins not in a gleaming Silicon Valley campus but in a humble Denny's diner in San
AI
A Mission-Driven Genesis In 2015, a collective of technology visionaries founded OpenAI with a profound and ambitious mission: to ensure that artificial general intelligence (AGI)—AI systems that surpass human capabilities in most economically valuable work—benefits all of humanity. Launched as a non-profit with a staggering $1 billion in
AI
Prologue: The Paradoxical Vow In the winter of 2015, a unique and hopeful gathering took place in the heart of the technology world. Against the backdrop of a burgeoning AI renaissance, a collective of visionaries—among them Sam Altman, Elon Musk, Ilya Sutskever, and Greg Brockman—came together not to
AI
Prologue: The Intelligence Engine For decades, Microsoft was a titan of the software industry, a "software factory" renowned for producing finished applications and platforms like Windows and Office.1 The company’s products were the tools people used to get work done, but the core identity was one
airesearch
A Paradigm Shift for Biology 200M+ Predicted Protein Structures Released by AlphaFold DeepMind's AlphaFold achieved what was considered a grand challenge in biology for 50 years. By making its database of protein structures freely available, it has accelerated research globally, impacting everything from drug discovery to environmental sustainability.
AI
Part I: The Grand Ambition: A Mission to "Solve Intelligence" The story of Google DeepMind does not begin in a corporate boardroom or a crowded startup incubator. It unfolds from a singular, audacious vision: to create a dedicated scientific community committed to "solving intelligence" and ensuring
AI
AI
“只有真正理解用户，我们才能设计出打动人心的解决方案。” 什么是同理心地图？ 同理心地图（Empathy Map） 是一种设计思维中的调研工具，旨在帮助团队深入理解用户的情感、行为、想法与体验环境。 它通常用于设计流程早期的共情阶段，通过团队共创，挖掘用户的深层动机和未被满足的需求，从而为后续的创意生成与产品设计打下基础。 🧩 同理心地图的结 经典的 Empathy Map 包含以下六个部分： 区域 关键问题 👀 看见（See） 用户在环境中看到了什么？（界面、他人、广告、内容） 👂 听见（Hear） 用户从他人那里听到什么？（朋友、同事、媒体） 💬 说 & 做（Say & Do） 用户在公开场合说了什么、做了什么？ ❤️ 想 & 感（Think & Feel） 用户内心真正的想法和情绪是什么？ 😣 痛点（
AI
“Design for someone, not everyone.” —— 设计不是为所有人，而是为某个特定的人。 0:00/283.5975061× 什么是 User Persona？ User Persona（用户画像） 是一种半虚构的用户角色，基于真实调研数据而构建，用来代表目标用户群体中的典型代表。它帮助团队理解用户需求、动机与行为模式，并在整个设计流程中持续保持用户视角。 Persona 的核心组成 每一个 persona 通常包含以下信息： * 👤 基本信息：姓名、年龄、职业、城市 * 🎯 目标/动机：用户希望完成什么？他们的内在驱动力是什么？ * 💬 行为特征：使用产品的习惯、使用场景、设备偏好等 * 😣 痛点/挑战：他们当前遇到的问题是什么？有哪些未满足的需求？ * 🌟 机会点：我们如何为这个角色创造价值？ 示例：在线学习平台的 User