> Contest Hub
Global neural interface for competitive intelligence signals. Monitoring 169 total nodes.
QWEN AI BUILD DAY
About the challenge Qwen AI Build Day is where builders turn ideas into working AI products. We’re bringing together developers, startups, and AI builders to solve real enterprise-backed challenges using Qwen and Alibaba Cloud technologies. Confirmed tracks: Mobility Track by Tasco Financial Services Track by Shinhan Future's Lab Healthcare Track by Elfie Public Sector (Government) This is not a “build something random and hope for the best” hackathon. You’ll get: real problem statements from enterprise-backed tracks a defined build window the chance to be shortlisted among (up to)Top 10 teams for your track the opportunity to pitch live in front of enterprise representatives and industry experts the chance to become a Track Winner the chance to present at ALIBABA CLOUD SME AI GROWTH DAY VIETNAM 2026 on 22 April 2026 Whether you’re an engineer, technical founder, product builder, or student with strong execution skills, this is your chance to build something useful, prove what you can do, and get in front of the right people. Get started Here’s how the program works: Step 1 — RegisterSign up on Devpost and review the challenge details. Step 2 — Join the kickoff webinarAttend the kickoff webinar on 10 April 2026 to understand the challenge tracks, expectations, and how to build with Qwen / Alibaba Cloud. Step 3 — Choose your trackBuild for one of the official challenge tracks: Mobility Track by Tasco Financial Services Track by Shinhan Future's Lab Healthcare Track by Elfie Public Sector (Government) Step 4 — Build your solutionTeams will build during the official build period from 11–17 April 2026. Step 5 — Submit on DevpostComplete your project submission before the deadline with your demo, write-up, and required links. Step 6 — Attend Qwen AI Build DayAll teams must attend the live event on 21 April 2026 in Ho Chi Minh City, or send at least one team representative. Teams that do not show up will be disqualified. Step 7 — Pitch if shortlistedOn the event day, the Top 10 shortlisted teams for each track will be announced. Shortlisted teams will earn the opportunity to pitch live in front of judges consisting of enterprise representatives and industry experts. Step 8 — Win your track Each official track will have 1 Track Winner, awarded USD 1,000. Track Winners are selected by the judges from the shortlisted teams who pitched live on event day. Step 9 — Advance to the final showcaseThe track winners will present at ALIBABA CLOUD SME AI GROWTH DAY VIETNAM 2026 on 22 April 2026.
QWEN AI BUILD DAY
About the challenge Qwen AI Build Day is where builders turn ideas into working AI products. We’re bringing together developers, startups, and AI builders to solve real enterprise-backed challenges using Qwen and Alibaba Cloud technologies. Confirmed tracks: Mobility Track by Tasco Financial Services Track by Shinhan Future's Lab Healthcare Track by Elfie Public Sector (Government) This is not a “build something random and hope for the best” hackathon. You’ll get: real problem statements from enterprise-backed tracks a defined build window the chance to be shortlisted among (up to)Top 10 teams for your track the opportunity to pitch live in front of enterprise representatives and industry experts the chance to become a Track Winner the chance to present at ALIBABA CLOUD SME AI GROWTH DAY VIETNAM 2026 on 22 April 2026 Whether you’re an engineer, technical founder, product builder, or student with strong execution skills, this is your chance to build something useful, prove what you can do, and get in front of the right people. Get started Here’s how the program works: Step 1 — RegisterSign up on Devpost and review the challenge details. Step 2 — Join the kickoff webinarAttend the kickoff webinar on 10 April 2026 to understand the challenge tracks, expectations, and how to build with Qwen / Alibaba Cloud. Step 3 — Choose your trackBuild for one of the official challenge tracks: Mobility Track by Tasco Financial Services Track by Shinhan Future's Lab Healthcare Track by Elfie Public Sector (Government) Step 4 — Build your solutionTeams will build during the official build period from 11–17 April 2026. Step 5 — Submit on DevpostComplete your project submission before the deadline with your demo, write-up, and required links. Step 6 — Attend Qwen AI Build DayAll teams must attend the live event on 21 April 2026 in Ho Chi Minh City, or send at least one team representative. Teams that do not show up will be disqualified. Step 7 — Pitch if shortlistedOn the event day, the Top 10 shortlisted teams for each track will be announced. Shortlisted teams will earn the opportunity to pitch live in front of judges consisting of enterprise representatives and industry experts. Step 8 — Win your track Each official track will have 1 Track Winner, awarded USD 1,000. Track Winners are selected by the judges from the shortlisted teams who pitched live on event day. Step 9 — Advance to the final showcaseThe track winners will present at ALIBABA CLOUD SME AI GROWTH DAY VIETNAM 2026 on 22 April 2026.
聊聊 Context Awareness 和 Visual Agent，Physical AI Camp 杭州站
Context Awareness 和 Visual Agent，Physical AI Camp 杭州站，4 月 25 日周六下午，杭州云谷中心。 和蚂蚁百灵大模型、声网、Chance AI、声绘未来、湃启科技、Rokid与 Cerul.ai 的开发者和创始人，一起聊聊当 Visual Agent 看见 Vibes 时，Context Awareness 的畅想与现实。 4 月 25 日（周六）下午，RTE Meetup 落地杭州。如果一个 Agent 不仅能看清眼前画面，更能瞬间捕捉你忽略的周边细节与上下文，会发生什么？从桌面端的屏幕理解到可穿戴设备，能够 Always on 且实时捕获环境数据的 Visual Agent（视觉智能体） 正成为人机共同体感知物理世界的关键。随着多模态模型的发展，获取真实世界的 Context（如视觉、音频或意图）已不再是技术瓶颈。但拿到海量 Context 之后呢？多模态感知不等于真实需求。如何让 Context 与产品和市场真正契合？在哪些场景下，看懂 Vibes 才是不可替代的刚需？这才是决定下一代交互成败的必答题。我们邀请了蚂蚁百灵大模型、声网、Chance AI、声绘未来、湃启科技、Rokid 与 Cerul.ai 的技术专家及创始人，一起聊聊当 Agent 看得见 Vibes 时，Context Awareness 的畅想与现实。关于 Physical AI Camp·超音速计划 2026RTE Meetup 议程13:30 - 14:00 丨 签到与自由交流14:00 - 14:10 丨 Intro：超音速计划 2026·Physical AI Camp 介绍14:10 - 15:10 丨 Keynote 分享Visual Agent：从看得见到看得懂，还差什么？吴晓凡，Chance AI CTO让 Agent 走出象牙塔，做那些用户觉得「很简单」的事孙思宁，声绘未来 & 浙江湃启科技联合创始人迈向人机共生的交互终端杨天翼，Rokid AI 产品经理Teach Your AI Agents to SeeJiaxi Cui（Panda），Cerul.ai Founder15:10 - 15:40 丨 圆桌讨论一：Building the Context ——Agent 视觉与感知技术底座嘉宾彭晗，蚂蚁集团高级算法专家，百灵多模态大模型后训练算法负责人张乾泽，Agora Agent Platform Lead孙思宁，声绘未来 & 浙江湃启科技联合创始人主持人：杨慧 Cynthia Yang，RTE 开发者社区发起人15:40 - 16:10 丨 圆桌讨论二：Context-Product Fit —— 寻找多模态交互的真实场景嘉宾吴晓凡，Chance AI CTO杨天翼，Rokid AI 产品经理Jiaxi Cui（Panda），Cerul.ai Founder主持人： 傅丰元，RTE 开发者社区负责人16:10 - 16:30 丨 Lightning Demo，带上你的软/硬件现场展示介绍16:30丨 自由交流活动信息活动时间： 2026 年 4 月 25 日（周六） 14:00 - 16:30（13:30 开始签到）活动地点： 杭州西湖区灯彩街云谷中心参与方式： 点击‘立即报名’报名参与主办方：RTE 开发者社区、超音速计划合作伙伴： 魔搭社区、云谷中心社区伙伴： S 创、脑放电波、Bonjour!、Research AI+、小红书科技、WAIC UP！、启师傅 AI 客厅、分子分母、机智流
招银数智创新Meetup | 大模型推理技术创新及金融领域实践
4月25日，成都招行数智Meetup聚焦大模型推理创新与金融实践，vLLM、SGLang等技术干货+企业案例分享
Trajnet++ (A Trajectory Forecasting Challenge)
Trajnet++ (A Trajectory Forecasting Challenge)
MEDIQA 2021 - Question Summarization (QS)
MEDIQA 2021 - Question Summarization (QS) ACL-BioNLP Shared Task ACL-BioNLP Shared Task
ECCV 2020 Commands 4 Autonomous Vehicles
ECCV 2020 Commands 4 Autonomous Vehicles
Multi-Agent Reinforcement Learning for Iterative Reasoning
Multi-Agent Reinforcement Learning for Iterative Reasoning
“数龙杯”全球AI创新大赛-开发者沙龙（杭州站）
活动聚焦AI技术落地难、商业化路径模糊、行业资源对接不畅等核心问题，通过主题演讲、圆桌对话、QA互动、资源对接等形式，分享实战解法、搭建创业企业与资源方对接的桥梁，同时解读大赛规则与专属福利，助力开发者突破落地瓶颈。
“数龙杯”全球AI创新大赛-开发者沙龙（杭州站）
活动聚焦AI技术落地难、商业化路径模糊、行业资源对接不畅等核心问题，通过主题演讲、圆桌对话、QA互动、资源对接等形式，分享实战解法、搭建创业企业与资源方对接的桥梁，同时解读大赛规则与专属福利，助力开发者突破落地瓶颈。
“中国云谷”高校训练营暨AI影视特训营
本次特训营以实战出片、商业落地、资源对接为核心，面向全国高校师生开放时空影视内部商业工作流，深度拆解2026年最新行业趋势、平台规则、与变现赛道。课程结合时空影视爆款案例与自研工具，手把手带领学员从0到1完成AI短剧创作，快速补齐技术、创作、商业三大能力缺口，抢占AI短剧时代红利。同时，本次活动旨在构建“AI平台+产业载体+实战企业”的一体化人才培养生态，为云谷中心集聚AI内容创作优质资源，推动杭州AI短剧产业生态高质量发展，为行业输送高质量AI影视实战人才。
“中国云谷”高校训练营暨AI影视特训营
本次特训营以实战出片、商业落地、资源对接为核心，面向全国高校师生开放时空影视内部商业工作流，深度拆解2026年最新行业趋势、平台规则、与变现赛道。课程结合时空影视爆款案例与自研工具，手把手带领学员从0到1完成AI短剧创作，快速补齐技术、创作、商业三大能力缺口，抢占AI短剧时代红利。同时，本次活动旨在构建“AI平台+产业载体+实战企业”的一体化人才培养生态，为云谷中心集聚AI内容创作优质资源，推动杭州AI短剧产业生态高质量发展，为行业输送高质量AI影视实战人才。
聊聊 Context Awareness 和 Visual Agent，Physical AI Camp 杭州站
Context Awareness 和 Visual Agent，Physical AI Camp 杭州站，4 月 25 日周六下午，杭州云谷中心。 和蚂蚁百灵大模型、声网、Chance AI、声绘未来、湃启科技、Rokid与 Cerul.ai 的开发者和创始人，一起聊聊当 Visual Agent 看见 Vibes 时，Context Awareness 的畅想与现实。 4 月 25 日（周六）下午，RTE Meetup 落地杭州。如果一个 Agent 不仅能看清眼前画面，更能瞬间捕捉你忽略的周边细节与上下文，会发生什么？从桌面端的屏幕理解到可穿戴设备，能够 Always on 且实时捕获环境数据的 Visual Agent（视觉智能体） 正成为人机共同体感知物理世界的关键。随着多模态模型的发展，获取真实世界的 Context（如视觉、音频或意图）已不再是技术瓶颈。但拿到海量 Context 之后呢？多模态感知不等于真实需求。如何让 Context 与产品和市场真正契合？在哪些场景下，看懂 Vibes 才是不可替代的刚需？这才是决定下一代交互成败的必答题。我们邀请了蚂蚁百灵大模型、声网、Chance AI、声绘未来、湃启科技、Rokid 与 Cerul.ai 的技术专家及创始人，一起聊聊当 Agent 看得见 Vibes 时，Context Awareness 的畅想与现实。关于 Physical AI Camp·超音速计划 2026RTE Meetup 议程13:30 - 14:00 丨 签到与自由交流14:00 - 14:10 丨 Intro：超音速计划 2026·Physical AI Camp 介绍14:10 - 15:10 丨 Keynote 分享Visual Agent：从看得见到看得懂，还差什么？吴晓凡，Chance AI CTO让 Agent 走出象牙塔，做那些用户觉得「很简单」的事孙思宁，声绘未来 & 浙江湃启科技联合创始人迈向人机共生的交互终端杨天翼，Rokid AI 产品经理Teach Your AI Agents to SeeJiaxi Cui（Panda），Cerul.ai Founder15:10 - 15:40 丨 圆桌讨论一：Building the Context ——Agent 视觉与感知技术底座嘉宾彭晗，蚂蚁集团高级算法专家，百灵多模态大模型后训练算法负责人张乾泽，Agora Agent Platform Lead孙思宁，声绘未来 & 浙江湃启科技联合创始人主持人：杨慧 Cynthia Yang，RTE 开发者社区发起人15:40 - 16:10 丨 圆桌讨论二：Context-Product Fit —— 寻找多模态交互的真实场景嘉宾吴晓凡，Chance AI CTO杨天翼，Rokid AI 产品经理Jiaxi Cui（Panda），Cerul.ai Founder主持人： 傅丰元，RTE 开发者社区负责人16:10 - 16:30 丨 Lightning Demo，带上你的软/硬件现场展示介绍16:30丨 自由交流活动信息活动时间： 2026 年 4 月 25 日（周六） 14:00 - 16:30（13:30 开始签到）活动地点： 杭州西湖区灯彩街云谷中心参与方式： 点击‘立即报名’报名参与主办方：RTE 开发者社区、超音速计划合作伙伴： 魔搭社区、云谷中心社区伙伴： S 创、脑放电波、Bonjour!、Research AI+、小红书科技、WAIC UP！、启师傅 AI 客厅、分子分母、机智流
招银数智创新Meetup | 大模型推理技术创新及金融领域实践
4月25日，成都招行数智Meetup聚焦大模型推理创新与金融实践，vLLM、SGLang等技术干货+企业案例分享
ZerveHack
What is Zerve? Zerve is an AI-native data science platform. Start with a question, not a blank script. Zerve's agent writes the code, iterates on errors and runs the analysis while you steer. When you're ready, deploy it as an API or app without leaving the platform. The Challenge Use Zerve to build something original. Analyze a dataset, uncover insights, and ship something others can use: an analysis, an app, an API, or all three. No constraints on topic. No prescribed methodology. Bring a question and see how far you can take it. The best submissions will feel like they couldn't have been built the old way. Manual queries, disconnected tools, endless waiting on the data team. Show us what's possible when AI handles the execution and you drive the direction. Getting Started Navigate to the resources tab to signup and get started!
ZerveHack
What is Zerve? Zerve is an AI-native data science platform. Start with a question, not a blank script. Zerve's agent writes the code, iterates on errors and runs the analysis while you steer. When you're ready, deploy it as an API or app without leaving the platform. The Challenge Use Zerve to build something original. Analyze a dataset, uncover insights, and ship something others can use: an analysis, an app, an API, or all three. No constraints on topic. No prescribed methodology. Bring a question and see how far you can take it. The best submissions will feel like they couldn't have been built the old way. Manual queries, disconnected tools, endless waiting on the data team. Show us what's possible when AI handles the execution and you drive the direction. Getting Started Navigate to the resources tab to signup and get started!
Learning Hackathon: Spec Driven Development
About the challenge Devpost is launching a new kind of hackathon — shorter, built around learning, and the first in a series. You know the drill: you tell an AI to build you an app, and it kind of works, but the code's a mess and you're not sure what half of it does. Then, when you try to make a big improvement, you end up scrapping it and starting over from scratch. That's what happens when you don't know the best practices of building with AI. This hackathon teaches you spec-driven development — a better way to build with AI. Install a plugin inside Claude Code, plan your app with an AI learning partner, build it, and submit. Most people finish in 4–6 hours. No prizes, no judges — just skills you'll actually use (and a new Devpost badge!). Whether you're learning to code or shipping production software, the plugin will meet you where you are. GETTING STARTED Visit our Resources page for full setup instructions & tutorial on using our Claude Code plugin. Here are also some videos on the process: How to vibe code like a pro Learning plugin walkthrough Claude Code and Plugin Installation You can also access the plugin directly on GitHub at: https://github.com/challengepost/devpost-curriculum A Claude Pro or Max subscription — required to use Claude Code. If you're unsure whether you have one, check before you start. This was the #1 setup surprise in our beta. You'll need to use Claude on your computer! WHY PARTICIPATE Learn by Doing: This isn't a course you watch. You plan, build, and ship a real app — and the process teaches you how to do it again on your own. It's interactive. You'll work inside Claude Code with a custom AI learning partner that guides you through each step — from brainstorming to submission. Think of it less like a tutorial and more like a creative riff session with a smart collaborator. Level Playing Field: No experience requirements beyond the tools listed below. The plugin adapts to your level. Keep the Artifacts: Walk away with a scope document, a requirements doc, a technical spec, a build checklist, and a working app. These are real workflows you can reuse — treat them as templates for your future projects. What You'll Learn Spec-driven development — planning with AI before building, so your projects are intentional instead of generic Flipped interaction prompting — making the AI interview you, not the other way around Context management — keeping your AI productive across sessions instead of starting from scratch every time Verification habits — checking your work at each step so you don't get out over your skis
Learning Hackathon: Spec Driven Development
About the challenge Devpost is launching a new kind of hackathon — shorter, built around learning, and the first in a series. You know the drill: you tell an AI to build you an app, and it kind of works, but the code's a mess and you're not sure what half of it does. Then, when you try to make a big improvement, you end up scrapping it and starting over from scratch. That's what happens when you don't know the best practices of building with AI. This hackathon teaches you spec-driven development — a better way to build with AI. Install a plugin inside Claude Code, plan your app with an AI learning partner, build it, and submit. Most people finish in 4–6 hours. No prizes, no judges — just skills you'll actually use (and a new Devpost badge!). Whether you're learning to code or shipping production software, the plugin will meet you where you are. GETTING STARTED Visit our Resources page for full setup instructions & tutorial on using our Claude Code plugin. Here are also some videos on the process: How to vibe code like a pro Learning plugin walkthrough Claude Code and Plugin Installation You can also access the plugin directly on GitHub at: https://github.com/challengepost/devpost-curriculum A Claude Pro or Max subscription — required to use Claude Code. If you're unsure whether you have one, check before you start. This was the #1 setup surprise in our beta. You'll need to use Claude on your computer! WHY PARTICIPATE Learn by Doing: This isn't a course you watch. You plan, build, and ship a real app — and the process teaches you how to do it again on your own. It's interactive. You'll work inside Claude Code with a custom AI learning partner that guides you through each step — from brainstorming to submission. Think of it less like a tutorial and more like a creative riff session with a smart collaborator. Level Playing Field: No experience requirements beyond the tools listed below. The plugin adapts to your level. Keep the Artifacts: Walk away with a scope document, a requirements doc, a technical spec, a build checklist, and a working app. These are real workflows you can reuse — treat them as templates for your future projects. What You'll Learn Spec-driven development — planning with AI before building, so your projects are intentional instead of generic Flipped interaction prompting — making the AI interview you, not the other way around Context management — keeping your AI productive across sessions instead of starting from scratch every time Verification habits — checking your work at each step so you don't get out over your skis
Intel AI PC创新应用征文&OpenClaw skill 挑战赛
本次活动由 Intel 发起，大赛旨在鼓励开发者利用 OpenVINO 技术，在普通 Intel CPU 设备上实现大模型的创新应用（涵盖视觉、语音、图像生成等场景）。 一、比赛时间活动时间：2026年3月22日 – 4月30日发布平台：魔搭社区ModelScope · 研习社二、征文主题「Intel AI PC创新应用征文&OpenClaw skill 挑战赛」征文方向（不限于以下应用场景示例）可选取以下 Baseline 任一或组合方向展开，也可基于 OpenVINO Notebook 示例自由发挥，不限于下列场景。Baseline 方向参考应用场景视觉理解（VLM）智能商品识别、证件 OCR、工业质检、医学影像辅助分析等语音识别智能会议纪要、语音指令控制、无障碍实时字幕、语音搜索等语音合成（TTS）有声日记、多语种播报、有声绘本、智能客服语音回复等图像生成营销海报生成、教育插画创作、游戏素材生产、风格化头像等参考资源官方 Baseline 灵感流：https://www.modelscope.cn/profile/snake7gun?tab=galleryBaseline 示例：https://github.com/openvino-dev-samples/modelscope-workshopOpenVINO Notebook：https://github.com/openvinotoolkit/openvino_notebooks扫码访问英特尔 AI PC 专区，获取更多开发工具、技术文档与实战案例，助力您的 AI 应用开发之旅添加 OpenVINO 小助手，加入赛事互助群，技术专家在线答疑三、参与步骤Step 1：获取 Baseline 并完成运行 前往魔搭社区下载官方灵感流，在本地或端侧设备上完成任意一个或多个 Baseline 的运行。Step 2：场景创新与代码提交 在 Baseline 基础上进行应用场景拓展或创意改造，将完整代码提交至魔搭社区灵感流（须有所创新，不可与官方 Baseline 完全一致）。Step 3：撰写并发布技术文章 将实践过程、踩坑经验与应用创意整理成文，发布至魔搭社区研习社。Step 4：【加分项】技能封装 将应用封装为 OpenClaw Skill，并在魔搭社区 Copaw 创空间中完整跑通。此步骤为可选加分项，不影响参与奖资格，但将显著提升最佳实践奖评分。四、作品提交要求参与本次活动需提交 两项内容，缺一不可：提交项平台地址灵感流魔搭社区 Galleryhttps://modelscope.cn/gallery技术文章魔搭社区研习社https://modelscope.cn/learn4.1 灵感流提交内容须在官方 Baseline 基础上进行创新，不可与 Baseline 完全一致代码需可正常运行，他人可基于你的灵感流独立复现 4.2 技术文章提交要求标题格式：《【Intel AI PC创新应用征文】+ 自定义标题》内容结构（须包含以下全部模块）模块具体要求环境配置硬件规格、操作系统、OpenVINO 版本、依赖安装步骤应用场景说明你的创新方向是什么、解决了什么实际问题、面向哪类用户应用运行展示应用运行结果截图（必须）；完整 Demo 视频（可选）Skills 运行展示封装后的 Skill 在 Copaw 创空间中的运行截图或视频总结与展望端侧部署心得、当前局限、优化方向及未来规划Baseline 跑通过程、踩坑记录等可作为补充内容穿插在正文中，有助于提升文章的参考价值与评分。4.3【加分项】Skills 运行展示如已完成技能封装，可在文章中附上 Skill 在 Copaw 创空间中的运行截图或视频，评审时将视为加分项。第一步，创建一个基于你应用的Agent Skill，示例如下：第二步，参考以下过程建立你的 Copaw 创空间：https://modelscope.cn/learn/5814第三步，为你的 Copaw 创空间注入Skill：第四步：在Copaw中使用你的Skill：五、奖项设置 💡 温馨提示：奖励可叠加！所有获奖者将额外获得 Intel OpenVINO 官方认证电子证书奖项获奖名额奖励内容提交参与奖前50名价值200元的社区定制周边最佳实践奖前10名1000元现金奖金精美周边示例图最佳实践奖评审标准评分维度占比说明完整性与可复现性30%环境配置清晰、代码可复现、步骤完整创新性与应用价值30%场景新颖、解决实际问题、具备落地潜力文章质量20%图文并茂、逻辑清晰、表达流畅社区影响力20%阅读量、点赞数、评论互动评审委员会：由 Intel OpenVINO 团队与魔搭社区联合组成，对所有有效提交进行综合评定。六、常见问题Q：我的电脑配置不高，可以参加吗？ A：可以。OpenVINO 的核心优势正是让大模型在普通 Intel CPU 上也能高效运行，官方 Baseline 已针对端侧设备进行优化，无需高端硬件即可跑通。Q：必须跑通全部 4 个 Baseline 吗？ A：不需要，跑通任意一个即可参与。多场景的综合实践在评审中会有更高评价，但不作为硬性要求。Q：Skills 封装是必须完成的吗？ A：不是必须项。Skills 封装为加分项，完成后可在文章中附上运行截图，评审时将作为额外加分。未完成也不影响参与奖和最佳实践奖的基本资格。Q：可以组队参加吗？ A：本次活动以个人参与为主，每篇文章对应一位作者。团队成员可分别提交不同方向的实践文章，各自独立参与评奖。
Intel AI PC创新应用征文&OpenClaw skill 挑战赛
本次活动由 Intel 发起，大赛旨在鼓励开发者利用 OpenVINO 技术，在普通 Intel CPU 设备上实现大模型的创新应用（涵盖视觉、语音、图像生成等场景）。 一、比赛时间活动时间：2026年3月22日 – 4月30日发布平台：魔搭社区ModelScope · 研习社二、征文主题「Intel AI PC创新应用征文&OpenClaw skill 挑战赛」征文方向（不限于以下应用场景示例）可选取以下 Baseline 任一或组合方向展开，也可基于 OpenVINO Notebook 示例自由发挥，不限于下列场景。Baseline 方向参考应用场景视觉理解（VLM）智能商品识别、证件 OCR、工业质检、医学影像辅助分析等语音识别智能会议纪要、语音指令控制、无障碍实时字幕、语音搜索等语音合成（TTS）有声日记、多语种播报、有声绘本、智能客服语音回复等图像生成营销海报生成、教育插画创作、游戏素材生产、风格化头像等参考资源官方 Baseline 灵感流：https://www.modelscope.cn/profile/snake7gun?tab=galleryBaseline 示例：https://github.com/openvino-dev-samples/modelscope-workshopOpenVINO Notebook：https://github.com/openvinotoolkit/openvino_notebooks扫码访问英特尔 AI PC 专区，获取更多开发工具、技术文档与实战案例，助力您的 AI 应用开发之旅添加 OpenVINO 小助手，加入赛事互助群，技术专家在线答疑三、参与步骤Step 1：获取 Baseline 并完成运行 前往魔搭社区下载官方灵感流，在本地或端侧设备上完成任意一个或多个 Baseline 的运行。Step 2：场景创新与代码提交 在 Baseline 基础上进行应用场景拓展或创意改造，将完整代码提交至魔搭社区灵感流（须有所创新，不可与官方 Baseline 完全一致）。Step 3：撰写并发布技术文章 将实践过程、踩坑经验与应用创意整理成文，发布至魔搭社区研习社。Step 4：【加分项】技能封装 将应用封装为 OpenClaw Skill，并在魔搭社区 Copaw 创空间中完整跑通。此步骤为可选加分项，不影响参与奖资格，但将显著提升最佳实践奖评分。四、作品提交要求参与本次活动需提交 两项内容，缺一不可：提交项平台地址灵感流魔搭社区 Galleryhttps://modelscope.cn/gallery技术文章魔搭社区研习社https://modelscope.cn/learn4.1 灵感流提交内容须在官方 Baseline 基础上进行创新，不可与 Baseline 完全一致代码需可正常运行，他人可基于你的灵感流独立复现 4.2 技术文章提交要求标题格式：《【Intel AI PC创新应用征文】+ 自定义标题》内容结构（须包含以下全部模块）模块具体要求环境配置硬件规格、操作系统、OpenVINO 版本、依赖安装步骤应用场景说明你的创新方向是什么、解决了什么实际问题、面向哪类用户应用运行展示应用运行结果截图（必须）；完整 Demo 视频（可选）Skills 运行展示封装后的 Skill 在 Copaw 创空间中的运行截图或视频总结与展望端侧部署心得、当前局限、优化方向及未来规划Baseline 跑通过程、踩坑记录等可作为补充内容穿插在正文中，有助于提升文章的参考价值与评分。4.3【加分项】Skills 运行展示如已完成技能封装，可在文章中附上 Skill 在 Copaw 创空间中的运行截图或视频，评审时将视为加分项。第一步，创建一个基于你应用的Agent Skill，示例如下：第二步，参考以下过程建立你的 Copaw 创空间：https://modelscope.cn/learn/5814第三步，为你的 Copaw 创空间注入Skill：第四步：在Copaw中使用你的Skill：五、奖项设置 💡 温馨提示：奖励可叠加！所有获奖者将额外获得 Intel OpenVINO 官方认证电子证书奖项获奖名额奖励内容提交参与奖前50名价值200元的社区定制周边最佳实践奖前10名1000元现金奖金精美周边示例图最佳实践奖评审标准评分维度占比说明完整性与可复现性30%环境配置清晰、代码可复现、步骤完整创新性与应用价值30%场景新颖、解决实际问题、具备落地潜力文章质量20%图文并茂、逻辑清晰、表达流畅社区影响力20%阅读量、点赞数、评论互动评审委员会：由 Intel OpenVINO 团队与魔搭社区联合组成，对所有有效提交进行综合评定。六、常见问题Q：我的电脑配置不高，可以参加吗？ A：可以。OpenVINO 的核心优势正是让大模型在普通 Intel CPU 上也能高效运行，官方 Baseline 已针对端侧设备进行优化，无需高端硬件即可跑通。Q：必须跑通全部 4 个 Baseline 吗？ A：不需要，跑通任意一个即可参与。多场景的综合实践在评审中会有更高评价，但不作为硬性要求。Q：Skills 封装是必须完成的吗？ A：不是必须项。Skills 封装为加分项，完成后可在文章中附上运行截图，评审时将作为额外加分。未完成也不影响参与奖和最佳实践奖的基本资格。Q：可以组队参加吗？ A：本次活动以个人参与为主，每篇文章对应一位作者。团队成员可分别提交不同方向的实践文章，各自独立参与评奖。
Benin National Olympiad for Artificial Intelligence | Phase 1
Benin National Olympiad for Artificial Intelligence | Phase 1
GNEC Hackathon 2026 Spring - Compete For UN-Affiliated/NGO Internships & Prizes
About the hackathon General The Global NGO Executive Committee (GNEC) and its 1,600 subsidiaries have come together to host our fourth GNEC Hackathon! We encourage those passionate about engineering, technology, and programming to join this event to demonstrate their skills while competing for prizes such as internships and mentorships with our partners. Why Us GNEC is well-connected to the UN and has a global network of NGOs. You can tap into this network during and after this hackathon. Our partners will also host various workshops where they will teach new technological concepts while also offering insight into their mission and the work they have done. The workshops are a great opportunity to explore one’s interests and possible career paths. Theme Through the GNEC Hackathon, we encourage participants to explore sustainability through technology by setting the hackathon's theme as one or two of the United Nations Sustainable Development Goals (UN SDGs). This hackathon's theme will be SDG 3 (Health and Well-being). Get started Join our Discord server (https://discord.gg/n5pcCHcGC6) and meet with everyone else involved in the hackathon. You are welcome to make your own team but if you don't have teammates, our Discord server is a great place to look for a team. The opening ceremony will provide further information regarding the hackathon and the working period will commence shortly after. Be creative, make new friends, and above all, have fun!
GNEC Hackathon 2026 Spring - Compete For UN-Affiliated/NGO Internships & Prizes
About the hackathon General The Global NGO Executive Committee (GNEC) and its 1,600 subsidiaries have come together to host our fourth GNEC Hackathon! We encourage those passionate about engineering, technology, and programming to join this event to demonstrate their skills while competing for prizes such as internships and mentorships with our partners. Why Us GNEC is well-connected to the UN and has a global network of NGOs. You can tap into this network during and after this hackathon. Our partners will also host various workshops where they will teach new technological concepts while also offering insight into their mission and the work they have done. The workshops are a great opportunity to explore one’s interests and possible career paths. Theme Through the GNEC Hackathon, we encourage participants to explore sustainability through technology by setting the hackathon's theme as one or two of the United Nations Sustainable Development Goals (UN SDGs). This hackathon's theme will be SDG 3 (Health and Well-being). Get started Join our Discord server (https://discord.gg/n5pcCHcGC6) and meet with everyone else involved in the hackathon. You are welcome to make your own team but if you don't have teammates, our Discord server is a great place to look for a team. The opening ceremony will provide further information regarding the hackathon and the working period will commence shortly after. Be creative, make new friends, and above all, have fun!
Agents Assemble - The Healthcare AI Endgame
NOTE: We are not accepting any additional applications or inquiries for judges at this time. Due to the high volume of requests, we will not be responding to messages regarding judging opportunities. Thank you for your interest and understanding. Agents Assemble: The Healthcare AI Endgame Challenge Build Interoperable Healthcare Agents at the Intersection of MCP, A2A, and FHIR. We have all watched the AI in healthcare trailers - the hype, the theories, and the cool demos. But now, we have entered the Endgame. At Prompt Opinion, we define this phase as "The Last Mile" - the critical gap where raw intelligence must be converted into actionable deliverables. To conquer this mile, we cannot work alone. We are proud to launch Agents Assemble, a builder’s competition designed to prove that the power of AI lies in collaboration. Our platform provides the headquarters for this mission, giving you native access to the industry's best tools to build in two distinct ways: you can forge a Superpower (building the MCP tools that fuel the ecosystem), or you can rise up to build a Full Agent (equipping those superpowers to tackle a specific healthcare challenge). The technology is ready. The platform is open. It’s time to assemble. Why Participate? This competition is a launchpad for AI solutions that will power future healthcare workflows. Here is why you should join: Lucrative Cash Prizes: Compete for a total prize pool of $25,000 USD in cash, including a $7,500 Grand Prize. Widespread Visibility: Successful projects will be published in the Prompt Opinion Marketplace, making them discoverable and invokable by organizations across the ecosystem. Develop Skills That Matter: Gain hands-on experience with the Model Context Protocol (MCP) and Agent-to-Agent (A2A) standards for building AI agents. Build Healthcare Ready Solutions: Learn how by using the SHARP extension specs from Prompt Opinion, your tools and agents will seamlessly propagate data context using FHIR through multi-agent call chains. Collaborate and Network: Join a community of like-minded innovators and connect with leaders at Prompt Opinion who are shaping the future of AI infrastructure. Bragging Rights: Beyond the prizes, you will walk away with the pride of having built a functional, standards-compliant AI solution that can integrate directly into a clinician's workspace.
Agents Assemble - The Healthcare AI Endgame
NOTE: We are not accepting any additional applications or inquiries for judges at this time. Due to the high volume of requests, we will not be responding to messages regarding judging opportunities. Thank you for your interest and understanding. Agents Assemble: The Healthcare AI Endgame Challenge Build Interoperable Healthcare Agents at the Intersection of MCP, A2A, and FHIR. We have all watched the AI in healthcare trailers - the hype, the theories, and the cool demos. But now, we have entered the Endgame. At Prompt Opinion, we define this phase as "The Last Mile" - the critical gap where raw intelligence must be converted into actionable deliverables. To conquer this mile, we cannot work alone. We are proud to launch Agents Assemble, a builder’s competition designed to prove that the power of AI lies in collaboration. Our platform provides the headquarters for this mission, giving you native access to the industry's best tools to build in two distinct ways: you can forge a Superpower (building the MCP tools that fuel the ecosystem), or you can rise up to build a Full Agent (equipping those superpowers to tackle a specific healthcare challenge). The technology is ready. The platform is open. It’s time to assemble. Why Participate? This competition is a launchpad for AI solutions that will power future healthcare workflows. Here is why you should join: Lucrative Cash Prizes: Compete for a total prize pool of $25,000 USD in cash, including a $7,500 Grand Prize. Widespread Visibility: Successful projects will be published in the Prompt Opinion Marketplace, making them discoverable and invokable by organizations across the ecosystem. Develop Skills That Matter: Gain hands-on experience with the Model Context Protocol (MCP) and Agent-to-Agent (A2A) standards for building AI agents. Build Healthcare Ready Solutions: Learn how by using the SHARP extension specs from Prompt Opinion, your tools and agents will seamlessly propagate data context using FHIR through multi-agent call chains. Collaborate and Network: Join a community of like-minded innovators and connect with leaders at Prompt Opinion who are shaping the future of AI infrastructure. Bragging Rights: Beyond the prizes, you will walk away with the pride of having built a functional, standards-compliant AI solution that can integrate directly into a clinician's workspace.
AMD AI 开发者日 2026
汇聚 AMD 工程师、技术领袖、生态合作伙伴、开源贡献者及 AI 开发者。大会带来高质量技术专场与实战工作坊，助你剖析工作负载、优化性能，并掌握可直接落地应用的实战工作流。
AMD AI 开发者日 2026
汇聚 AMD 工程师、技术领袖、生态合作伙伴、开源贡献者及 AI 开发者。大会带来高质量技术专场与实战工作坊，助你剖析工作负载、优化性能，并掌握可直接落地应用的实战工作流。
Build with MeDo Hackathon
Welcome to the Build with MeDo Hackathon！ Whether you’re a developer or a creator, MeDo lets you turn conversations into fully functional applications – from brainstorming to deployment. With MeDo, you can: Build full‑stack apps just by describing them in natural language. Iterate quickly via multi‑turn chat or visual editor. Integrate plugins and APIs effortlessly. Deploy with one click to a public URL. Pick one of our themed tracks or go freestyle. Show us what you can create when AI handles the heavy lifting! Get Started Register with this invite link to get 300 bonus credits! Join our Discord community to connect with other participants, find teammates, and win a $500 community exclusive prize! Community Voting (April 9, 9AM – June 4, 10AM): Post your project in the #showcase channel on Discord. Community members vote for their favorite projects. The 5 projects with the most votes each win $500. More Resources to help you build!
Build with MeDo Hackathon
Welcome to the Build with MeDo Hackathon！ Whether you’re a developer or a creator, MeDo lets you turn conversations into fully functional applications – from brainstorming to deployment. With MeDo, you can: Build full‑stack apps just by describing them in natural language. Iterate quickly via multi‑turn chat or visual editor. Integrate plugins and APIs effortlessly. Deploy with one click to a public URL. Pick one of our themed tracks or go freestyle. Show us what you can create when AI handles the heavy lifting! Get Started Register with this invite link to get 300 bonus credits! Join our Discord community to connect with other participants, find teammates, and win a $500 community exclusive prize! Community Voting (April 9, 9AM – June 4, 10AM): Post your project in the #showcase channel on Discord. Community members vote for their favorite projects. The 5 projects with the most votes each win $500. More Resources to help you build!
EnviroCast Global Engineering Outlook: From Insight to Impact Hackathon
About the challenge EnviroCast GEO: From Insight to Impact Hackathon is an international, student-led online hackathon that invites participants to innovate, build, and solve real-world problems to shape the future. Whether you’re creating a web app, mobile tool, hardware prototype, AI solution, or entirely new technology, this hackathon is open-ended — your ideas are the limit. Theme: From Insight to Impact Explore bold engineering solutions Experiment with creative technology Design projects that have real-world impact Ensure projects are efficient and transparent Participants may use Featherless inference credits during the hackathon. Featherless is providing inference access for all participants for the full duration of the hackathon. For a detailed guide on accessing these credits, refer to the Resources section of this hackathon page. All participants will receive 300 credits for MeDo.dev, with technical support and Q&A information through the Discord server. For a detailed guide on accessing these credits, refer to the Resouces section of this hackathon page. Hackathon Highlights: Fully virtual and international Winners announced live during the EnviroCast GEO: Furthering the Future Conference @ http://geo.envirocast.org/ (May 24, Day 2) Winners will also be announced on Devpost If you desire to be a speaker at the GEO international conference, apply at the link provided to be a speaker. Free to enter, open to all eligible students About our Sponsors: Featherless is an inference provider and AI research lab that hosts over 20,000+ open-weight models. Featherless optimizes inference and architecture so models run faster, cheaper, and reliably in production. MeDo is an affordable yet powerful way to turn ideas into life fast, with no code, no setup, no limits. MeDo uses agentic AI to build production‑ready full‑stack apps — frontend, backend, database and integrations — in minutes. Everything is automated through natural language. TruthInTech is a global policy initative advocating for integrity in AI systems through youth-led policy frameworks, global education, and evidence-based governance. Get ready to build, innovate, and showcase your ideas to the world!
EnviroCast Global Engineering Outlook: From Insight to Impact Hackathon
About the challenge EnviroCast GEO: From Insight to Impact Hackathon is an international, student-led online hackathon that invites participants to innovate, build, and solve real-world problems to shape the future. Whether you’re creating a web app, mobile tool, hardware prototype, AI solution, or entirely new technology, this hackathon is open-ended — your ideas are the limit. Theme: From Insight to Impact Explore bold engineering solutions Experiment with creative technology Design projects that have real-world impact Ensure projects are efficient and transparent Participants may use Featherless inference credits during the hackathon. Featherless is providing inference access for all participants for the full duration of the hackathon. For a detailed guide on accessing these credits, refer to the Resources section of this hackathon page. All participants will receive 300 credits for MeDo.dev, with technical support and Q&A information through the Discord server. For a detailed guide on accessing these credits, refer to the Resouces section of this hackathon page. Hackathon Highlights: Fully virtual and international Winners announced live during the EnviroCast GEO: Furthering the Future Conference @ http://geo.envirocast.org/ (May 24, Day 2) Winners will also be announced on Devpost If you desire to be a speaker at the GEO international conference, apply at the link provided to be a speaker. Free to enter, open to all eligible students About our Sponsors: Featherless is an inference provider and AI research lab that hosts over 20,000+ open-weight models. Featherless optimizes inference and architecture so models run faster, cheaper, and reliably in production. MeDo is an affordable yet powerful way to turn ideas into life fast, with no code, no setup, no limits. MeDo uses agentic AI to build production‑ready full‑stack apps — frontend, backend, database and integrations — in minutes. Everything is automated through natural language. TruthInTech is a global policy initative advocating for integrity in AI systems through youth-led policy frameworks, global education, and evidence-based governance. Get ready to build, innovate, and showcase your ideas to the world!
HackAmerica
About the challenge Next spring, HackAmerica is encouraging high school students nationwide to participate in one of the largest student-led hackathons in the United States. Over a week, students will immerse themselves in the dynamic, ongoing, social-environmental issues that exist in this country and others around the world, choosing a focus of their choice. Whether solo or in a team of up to four, your mission is to build something that matters. Feel free to use any tools or tech, as there are no limits—only one rule: your project must be submitted before time’s up to be judged by our panel. This isn’t just about coding—it’s about bold ideas, smart collaboration, and sparking a real difference. Beginners, experts, and everyone in between are welcome. Come build with us, and show the world what students can do when we lead the way. Get started Whether you’re going solo or collaborating with up to 3 fellow hackers, HackAmerica is still your place to design: from within anywhere in the nation. We will give you a full liberty of any programming languages, tools, or platforms (yes, ChatGPT is allowed) that you like. We won’t restrict your freedom. Construct what you have learned or even experiment with new ones. As HackAmerica is an online event, we will program your creativity for success. There will be lots of virtual workshops, live Q&As, mini-challenges, and community events in the schedule for you to energize your mind, enhance your skills, and get acquainted with other hackers across America. Our Discord server is your home base. Here is where you will find the people who will be working with you, the place to share your ideas, the place to ask questions, and the place to get mentor’s help all along the weekend. If you have a lot of programming experience or if you are just learning the code, you will find a community that will stand with you. No experience in hackathons? The situation is even better. Your only requirements are curiosity, Wi-Fi, and the courage to create something daring.The inception of any great idea starts with one small decision: the decision to start. So go for it – we are ready to see what you’re going to build.
HackAmerica
About the challenge Next spring, HackAmerica is encouraging high school students nationwide to participate in one of the largest student-led hackathons in the United States. Over a week, students will immerse themselves in the dynamic, ongoing, social-environmental issues that exist in this country and others around the world, choosing a focus of their choice. Whether solo or in a team of up to four, your mission is to build something that matters. Feel free to use any tools or tech, as there are no limits—only one rule: your project must be submitted before time’s up to be judged by our panel. This isn’t just about coding—it’s about bold ideas, smart collaboration, and sparking a real difference. Beginners, experts, and everyone in between are welcome. Come build with us, and show the world what students can do when we lead the way. Get started Whether you’re going solo or collaborating with up to 3 fellow hackers, HackAmerica is still your place to design: from within anywhere in the nation. We will give you a full liberty of any programming languages, tools, or platforms (yes, ChatGPT is allowed) that you like. We won’t restrict your freedom. Construct what you have learned or even experiment with new ones. As HackAmerica is an online event, we will program your creativity for success. There will be lots of virtual workshops, live Q&As, mini-challenges, and community events in the schedule for you to energize your mind, enhance your skills, and get acquainted with other hackers across America. Our Discord server is your home base. Here is where you will find the people who will be working with you, the place to share your ideas, the place to ask questions, and the place to get mentor’s help all along the weekend. If you have a lot of programming experience or if you are just learning the code, you will find a community that will stand with you. No experience in hackathons? The situation is even better. Your only requirements are curiosity, Wi-Fi, and the courage to create something daring.The inception of any great idea starts with one small decision: the decision to start. So go for it – we are ready to see what you’re going to build.
XGuard护栏揭榜赛
XGuard护栏揭榜赛是【大模型安全撬壳计划】系列赛事之一。由阿里巴巴集团安全部主办、致力于为广大AI安全爱好者与开发者提供一个开放协作的创意舞台，通过持续的模型测评、衍生二创与安全加固，推动 “XGuard护栏”进入越用越强、越用越广的良性发展轨道。 在2026年，大模型已无处不在，但“安全”之路依旧漫长本次大赛由阿里巴巴集团安全部发起，不仅是一场比赛，更是一次直通阿里核心团队的实战演练我们重磅开源了XGuard安全护栏模型+亿级Token高质语料诚挚邀请AI前线的你，去二创、去衍生、去重构！我们用10万奖金 + 亿级Token语料 + 硬核装备（MAC MINI、MacBook Neo等）+GPU算力全力加持只为寻找下一代AI安全“先行者”！（一键查收：XGuard护栏揭榜赛-赛事说明书）赛事介绍赛事背景XGuard护栏揭榜赛是【大模型安全撬壳计划】系列赛事之一。由阿里巴巴集团安全部主办、致力于为广大AI安全爱好者与开发者提供一个开放协作的创意舞台，通过持续的模型测评、衍生二创与安全加固，推动 “XGuard护栏”进入越用越强、越用越广的良性发展轨道。赛程时间面向人群不设边界，全员开放！无论身处校园还是职场，无论深耕技术还是钻研哲学，只要你对AI感兴趣，这里就是你的绽放舞台！报名流程点击右上方“立即报名”，选择对应身份（学生/在职/科研），填写全部信息即可完成；信息越完整，获奖概率越高比赛玩法：两大热血赛道，小白大神都可玩赛道一：逆袭吧！创二代！🔴适合人群： 算法高手、模型训练专家、想挑战技术高度的极客🔴难度系数： ⭐⭐⭐⭐⭐🔴玩法规则：选手需基于 XGuard 开源数据集（允许扩充新数据），结合 XGuard 模型或其他开源模型（10B 及以下），训练并提交专属的安全护栏模型。具体详见XGuard护栏揭榜赛-赛事说明书🔴赛道奖励：TOP 10 选手直接瓜分 50,000 元现金大奖！赛道二：破圈吧！抓码者！🔴适合人群： 技术博主、创意开发者、自媒体达人、对AI安全感兴趣均可玩🔴难度系数： ⭐⭐（上手容易，获奖率高）（本赛道分两个支线，无需打榜，作品优质就有好礼！）支线A:我是布道师玩法： 撰写深度评测报告，并发布在各大平台（小红书、B站、知乎、公众号、CSDN等）。具体详见XGuard护栏揭榜赛-赛事说明书奖励：标配奖励：发布即得价值500元的福袋（999足金手机贴+电动牙刷+阿里巴巴双肩背包）plus奖励：根据阅读量/播放量水位，瓜分 50,000 元现金奖池！支线B:我是创二代玩法：基于 XGuard护栏模型 或 数据集 进行二次开发、优化或衍生，具体详见XGuard护栏揭榜赛-赛事说明书奖励：标配奖励：发布即得价值1000元的福袋（999足金手机贴+电动牙刷+阿里巴巴双肩背包+SKG颈部按摩仪+星礼卡200元）plus奖励：根据项目下载量/Star数水位，瓜分 50,000 元现金奖池！参赛收益💰真金白银，拒绝画饼50,000元二创奖 + 50,000元破圈奖！不设门槛，只看作品，让你的创意直接折现💰🎁周周有惊喜，欧气不断电MAC MINI、千问眼镜、MacBook Neo... 总价值 5 万的装备库随时掉落！参与每周活动就能抽设备💻算力自由，从参赛开始！参赛即送 20 小时 GPU 算力，更有 100 小时算力盲盒随机空投！TOP 20 选手直接必得100 小时。跑模型不卡顿，灵感才能跑得更快。🚀官方证书，认可度拉满TOP 20 专属阿里巴巴认证的荣誉证书，不仅是荣誉，更是你技术履历上的高光时刻学生专属激励：简历诊断、招聘直通、职位详情，请进赛事群获取相关咨询！（钉钉群号： 168975002855）赛事规则所有评审规则、提交细节、赛事QA等内容，请查收这本参赛的答案之书《XGuard护栏揭榜赛-赛事说明书》加入官方钉群榜单查看、赛事资讯、问题咨询、活动详情都可加赛事官方钉群（一定要加群！！）添加开源小助手+发送“参赛”，邀您进微信群AAIG开源交流群，钉钉群号： 168975002855主办单位
XGuard护栏揭榜赛
XGuard护栏揭榜赛是【大模型安全撬壳计划】系列赛事之一。由阿里巴巴集团安全部主办、致力于为广大AI安全爱好者与开发者提供一个开放协作的创意舞台，通过持续的模型测评、衍生二创与安全加固，推动 “XGuard护栏”进入越用越强、越用越广的良性发展轨道。 在2026年，大模型已无处不在，但“安全”之路依旧漫长本次大赛由阿里巴巴集团安全部发起，不仅是一场比赛，更是一次直通阿里核心团队的实战演练我们重磅开源了XGuard安全护栏模型+亿级Token高质语料诚挚邀请AI前线的你，去二创、去衍生、去重构！我们用10万奖金 + 亿级Token语料 + 硬核装备（MAC MINI、MacBook Neo等）+GPU算力全力加持只为寻找下一代AI安全“先行者”！（一键查收：XGuard护栏揭榜赛-赛事说明书）赛事介绍赛事背景XGuard护栏揭榜赛是【大模型安全撬壳计划】系列赛事之一。由阿里巴巴集团安全部主办、致力于为广大AI安全爱好者与开发者提供一个开放协作的创意舞台，通过持续的模型测评、衍生二创与安全加固，推动 “XGuard护栏”进入越用越强、越用越广的良性发展轨道。赛程时间面向人群不设边界，全员开放！无论身处校园还是职场，无论深耕技术还是钻研哲学，只要你对AI感兴趣，这里就是你的绽放舞台！报名流程点击右上方“立即报名”，选择对应身份（学生/在职/科研），填写全部信息即可完成；信息越完整，获奖概率越高比赛玩法：两大热血赛道，小白大神都可玩赛道一：逆袭吧！创二代！🔴适合人群： 算法高手、模型训练专家、想挑战技术高度的极客🔴难度系数： ⭐⭐⭐⭐⭐🔴玩法规则：选手需基于 XGuard 开源数据集（允许扩充新数据），结合 XGuard 模型或其他开源模型（10B 及以下），训练并提交专属的安全护栏模型。具体详见XGuard护栏揭榜赛-赛事说明书🔴赛道奖励：TOP 10 选手直接瓜分 50,000 元现金大奖！赛道二：破圈吧！抓码者！🔴适合人群： 技术博主、创意开发者、自媒体达人、对AI安全感兴趣均可玩🔴难度系数： ⭐⭐（上手容易，获奖率高）（本赛道分两个支线，无需打榜，作品优质就有好礼！）支线A:我是布道师玩法： 撰写深度评测报告，并发布在各大平台（小红书、B站、知乎、公众号、CSDN等）。具体详见XGuard护栏揭榜赛-赛事说明书奖励：标配奖励：发布即得价值500元的福袋（999足金手机贴+电动牙刷+阿里巴巴双肩背包）plus奖励：根据阅读量/播放量水位，瓜分 50,000 元现金奖池！支线B:我是创二代玩法：基于 XGuard护栏模型 或 数据集 进行二次开发、优化或衍生，具体详见XGuard护栏揭榜赛-赛事说明书奖励：标配奖励：发布即得价值1000元的福袋（999足金手机贴+电动牙刷+阿里巴巴双肩背包+SKG颈部按摩仪+星礼卡200元）plus奖励：根据项目下载量/Star数水位，瓜分 50,000 元现金奖池！参赛收益💰真金白银，拒绝画饼50,000元二创奖 + 50,000元破圈奖！不设门槛，只看作品，让你的创意直接折现💰🎁周周有惊喜，欧气不断电MAC MINI、千问眼镜、MacBook Neo... 总价值 5 万的装备库随时掉落！参与每周活动就能抽设备💻算力自由，从参赛开始！参赛即送 20 小时 GPU 算力，更有 100 小时算力盲盒随机空投！TOP 20 选手直接必得100 小时。跑模型不卡顿，灵感才能跑得更快。🚀官方证书，认可度拉满TOP 20 专属阿里巴巴认证的荣誉证书，不仅是荣誉，更是你技术履历上的高光时刻学生专属激励：简历诊断、招聘直通、职位详情，请进赛事群获取相关咨询！（钉钉群号： 168975002855）赛事规则所有评审规则、提交细节、赛事QA等内容，请查收这本参赛的答案之书《XGuard护栏揭榜赛-赛事说明书》加入官方钉群榜单查看、赛事资讯、问题咨询、活动详情都可加赛事官方钉群（一定要加群！！）添加开源小助手+发送“参赛”，邀您进微信群AAIG开源交流群，钉钉群号： 168975002855主办单位
第二届“数龙杯”全球AI创新大赛
第二届“数龙杯”全球AI创新大赛由A股上市公司世纪华通（002602.SZ)发起，获中国音数协、上海市浦东区委宣传部、上海市文化创意产业促进会上海市网络游戏行业协会等多方指导，致力于发掘兼具创新灵魂与市场潜力的AI游戏及创新型应用标杆。 一、比赛介绍第二届“数龙杯”全球AI创新大赛由A股上市公司世纪华通（002602.SZ)发起，获中国音数协、上海市浦东区委宣传部、上海市文化创意产业促进会上海市网络游戏行业协会等多方指导，致力于发掘兼具创新灵魂与市场潜力的AI游戏及创新型应用标杆。二、比赛赛道AI游戏、AI应用、AI智能体三、赛程安排1、作品征集4月2日 - 5月31日2、初赛评审与资格核定 6月1日 - 6月15日3、决赛入围 6月16日 - 6月30日4、线下总决赛暨答辩会 7月中旬5、颁奖盛典 7月31日四、参赛须知1、征集对象：全球范围内的游戏开发者、AI开发者、高校学生及相关爱好者。2、参赛要求01：参赛者可选择以个人或团队形式报名，但不得重复报名。报名时需按照组委会要求提交相关证明材料，以便进行身份核实。02：参赛者提交的所有内容，包括但不限于团队及游戏名称、游戏内容等，必须严格遵守国家法律法规、政策规章及公序良俗。严禁出现侵犯第三方知识产权或其他合法权益的内容，禁止涉及政治、暴力、色情、人身攻击（包括但不限于侮辱、诽谤）、反人类、亵渎宗教等内容。一经发现，主办方有权取消参赛资格并收回已发放的奖励。03：参赛者必须遵循公平公正的原则，确保作品的真实性。严禁通过不正当手段参与比赛，例如提供虚假信息、雇佣他人代为参赛等。一旦核实存在此类行为，将立即取消其参赛及获奖资格。3、作品规范01：作品需围绕AI在游戏中的实际使用，海选阶段需要提交作品说明文档及演示视频；复审及线下评审环节需要确保其具有应用性和可演示性。02：作品可融合创新的AI游戏玩法、AI应用场景以及技术实现方式。4、作品提交参与者需点击页面上方的按钮，完成账号注册并成功登录，在规定的截止日期前填写完整的报名信息。在作品征集截止时间前，参赛者可以对已提交的游戏进行多次更新和完善，以截止时间前最终提交结果为准。5、素材版权说明参赛者须确保对作品中使用的软件、素材资源拥有版权或合法使用权。如果使用开源资源，需严格遵守其开源协议。参赛作品的版权归创作团队所有，但参赛即视为同意主办方世纪华通可在其相关网站和线下活动中免费使用提交的作品。世纪华通承诺对参赛者的个人信息及作品信息严格保密，不会在未经参赛者同意的前提下用于本活动以外的任何其他目的。6、其他参赛者提交作品或报名信息后，即视为不可撤销地接受上述参赛须知以及世纪华通不时发布的相关协议和参赛规则。如因不可抗力或其他不可归责于世纪华通的原因导致活动无法正常进行或参赛者无法参与，世纪华通有权暂停或取消活动且无需承担任何责任。在法律法规允许的范围内，世纪华通保留对本次比赛规则进行修改、调整和最终解释的权利。五、奖项设置最佳AI游戏奖聚焦：游戏性与技术融合创新主奖1名，奖金￥50,000提名奖2名，奖金￥20,000最佳AI应用奖聚焦：产品价值、用户体验与技术壁垒主奖1名，奖金￥50,000提名奖2名，奖金￥20,000最具商业价值奖聚焦：数据验证与规模化潜力主奖1名，奖金￥50,000提名奖2名，奖金￥20,000最佳新秀奖聚焦：创意突破与团队潜力（优先大学生团队）主奖1名，奖金￥30,000提名奖2名，奖金￥10,000最佳“养虾”创新奖聚焦：AI智能体实操新标杆主奖1名，奖金￥20,000提名奖2名，奖金￥5,000最佳国际团队奖聚焦：海外团队的创新能力（限海外团队）主奖1名，奖金￥30,000六、评审逻辑：最佳AI游戏奖：是否足够好玩、耐玩？AI是否创造了传统技术无法实现的新玩法、新体验或新内容？最佳AI应用奖：是否精准解决了高价值问题？用户体验是否卓越？是否具备独特的技术或设计护城河，防止被轻易替代？最具商业价值奖：用户增长、留存、付费等核心数据是否健康？商业模式是否清？最佳新秀奖：想法是否具有突破性的原创力和启发性？团队是否独特？项目是否展现出巨大的成长可能性？（本奖项将优先考虑大学生及青年创业团队）最佳国际团队奖：限海外主体报名，海外团队专属奖励。最佳“养虾”创新奖：考察智能体任务执行效率：在目标应用场景中（如工业协作、智能交互、场景运维等），完成任务的效率、精准度，对比常规方案的优化幅度；与人类操作的配合度、交互便捷性，是否能降低人工成本、提升整体工作效率。报名网站：https://aicht.sjhuatong.com/联系我们：ai.cht@digiloong.com
第二届“数龙杯”全球AI创新大赛
第二届“数龙杯”全球AI创新大赛由A股上市公司世纪华通（002602.SZ)发起，获中国音数协、上海市浦东区委宣传部、上海市文化创意产业促进会上海市网络游戏行业协会等多方指导，致力于发掘兼具创新灵魂与市场潜力的AI游戏及创新型应用标杆。 一、比赛介绍第二届“数龙杯”全球AI创新大赛由A股上市公司世纪华通（002602.SZ)发起，获中国音数协、上海市浦东区委宣传部、上海市文化创意产业促进会上海市网络游戏行业协会等多方指导，致力于发掘兼具创新灵魂与市场潜力的AI游戏及创新型应用标杆。二、比赛赛道AI游戏、AI应用、AI智能体三、赛程安排1、作品征集4月2日 - 5月31日2、初赛评审与资格核定 6月1日 - 6月15日3、决赛入围 6月16日 - 6月30日4、线下总决赛暨答辩会 7月中旬5、颁奖盛典 7月31日四、参赛须知1、征集对象：全球范围内的游戏开发者、AI开发者、高校学生及相关爱好者。2、参赛要求01：参赛者可选择以个人或团队形式报名，但不得重复报名。报名时需按照组委会要求提交相关证明材料，以便进行身份核实。02：参赛者提交的所有内容，包括但不限于团队及游戏名称、游戏内容等，必须严格遵守国家法律法规、政策规章及公序良俗。严禁出现侵犯第三方知识产权或其他合法权益的内容，禁止涉及政治、暴力、色情、人身攻击（包括但不限于侮辱、诽谤）、反人类、亵渎宗教等内容。一经发现，主办方有权取消参赛资格并收回已发放的奖励。03：参赛者必须遵循公平公正的原则，确保作品的真实性。严禁通过不正当手段参与比赛，例如提供虚假信息、雇佣他人代为参赛等。一旦核实存在此类行为，将立即取消其参赛及获奖资格。3、作品规范01：作品需围绕AI在游戏中的实际使用，海选阶段需要提交作品说明文档及演示视频；复审及线下评审环节需要确保其具有应用性和可演示性。02：作品可融合创新的AI游戏玩法、AI应用场景以及技术实现方式。4、作品提交参与者需点击页面上方的按钮，完成账号注册并成功登录，在规定的截止日期前填写完整的报名信息。在作品征集截止时间前，参赛者可以对已提交的游戏进行多次更新和完善，以截止时间前最终提交结果为准。5、素材版权说明参赛者须确保对作品中使用的软件、素材资源拥有版权或合法使用权。如果使用开源资源，需严格遵守其开源协议。参赛作品的版权归创作团队所有，但参赛即视为同意主办方世纪华通可在其相关网站和线下活动中免费使用提交的作品。世纪华通承诺对参赛者的个人信息及作品信息严格保密，不会在未经参赛者同意的前提下用于本活动以外的任何其他目的。6、其他参赛者提交作品或报名信息后，即视为不可撤销地接受上述参赛须知以及世纪华通不时发布的相关协议和参赛规则。如因不可抗力或其他不可归责于世纪华通的原因导致活动无法正常进行或参赛者无法参与，世纪华通有权暂停或取消活动且无需承担任何责任。在法律法规允许的范围内，世纪华通保留对本次比赛规则进行修改、调整和最终解释的权利。五、奖项设置最佳AI游戏奖聚焦：游戏性与技术融合创新主奖1名，奖金￥50,000提名奖2名，奖金￥20,000最佳AI应用奖聚焦：产品价值、用户体验与技术壁垒主奖1名，奖金￥50,000提名奖2名，奖金￥20,000最具商业价值奖聚焦：数据验证与规模化潜力主奖1名，奖金￥50,000提名奖2名，奖金￥20,000最佳新秀奖聚焦：创意突破与团队潜力（优先大学生团队）主奖1名，奖金￥30,000提名奖2名，奖金￥10,000最佳“养虾”创新奖聚焦：AI智能体实操新标杆主奖1名，奖金￥20,000提名奖2名，奖金￥5,000最佳国际团队奖聚焦：海外团队的创新能力（限海外团队）主奖1名，奖金￥30,000六、评审逻辑：最佳AI游戏奖：是否足够好玩、耐玩？AI是否创造了传统技术无法实现的新玩法、新体验或新内容？最佳AI应用奖：是否精准解决了高价值问题？用户体验是否卓越？是否具备独特的技术或设计护城河，防止被轻易替代？最具商业价值奖：用户增长、留存、付费等核心数据是否健康？商业模式是否清？最佳新秀奖：想法是否具有突破性的原创力和启发性？团队是否独特？项目是否展现出巨大的成长可能性？（本奖项将优先考虑大学生及青年创业团队）最佳国际团队奖：限海外主体报名，海外团队专属奖励。最佳“养虾”创新奖：考察智能体任务执行效率：在目标应用场景中（如工业协作、智能交互、场景运维等），完成任务的效率、精准度，对比常规方案的优化幅度；与人类操作的配合度、交互便捷性，是否能降低人工成本、提升整体工作效率。报名网站：https://aicht.sjhuatong.com/联系我们：ai.cht@digiloong.com
DSH Hacks V1
About the Challenge DSH Hacks V1 is a global student competition open to students aged 13+ hosted collaboratively by three youth-led organizations: DeltaForge Hacks, NextHorizon, and STEMise. Theme: AI x STEM Education This event brings together young innovators from around the world to reimagine the future of STEM education through artificial intelligence. Participants will work individually or in teams to design and develop a meaningful technical product that leverages AI to improve, enhance, or expand STEM education. Projects may range from machine learning tools that personalize learning pathways to computer vision systems for laboratory simulations, to AI-driven platforms that increase accessibility for underrepresented communities. Creativity, feasibility, technical depth, and real-world impact will be central to evaluation. The theme of this competition is to create tools that help students learn STEM more effectively, interactively, and accessibly. These tools can be an app, a website, a simulation, a system, or an algorithm. Participants are allowed to use AI to encourage them to build a meaningful solution in the realm of STEM education and to lower the technical barrier that imposes challenges for beginners with ambitious project ideas. Get Started Ask around and form a team! We highly recommend finding like-minded individuals around you to help make your ideas a reality! Please join these Discord servers: DeltaForge Hacks & STEMise! You may very well find your new team!
DSH Hacks V1
About the Challenge DSH Hacks V1 is a global student competition open to students aged 13+ hosted collaboratively by three youth-led organizations: DeltaForge Hacks, NextHorizon, and STEMise. Theme: AI x STEM Education This event brings together young innovators from around the world to reimagine the future of STEM education through artificial intelligence. Participants will work individually or in teams to design and develop a meaningful technical product that leverages AI to improve, enhance, or expand STEM education. Projects may range from machine learning tools that personalize learning pathways to computer vision systems for laboratory simulations, to AI-driven platforms that increase accessibility for underrepresented communities. Creativity, feasibility, technical depth, and real-world impact will be central to evaluation. The theme of this competition is to create tools that help students learn STEM more effectively, interactively, and accessibly. These tools can be an app, a website, a simulation, a system, or an algorithm. Participants are allowed to use AI to encourage them to build a meaningful solution in the realm of STEM education and to lower the technical barrier that imposes challenges for beginners with ambitious project ideas. Get Started Ask around and form a team! We highly recommend finding like-minded individuals around you to help make your ideas a reality! Please join these Discord servers: DeltaForge Hacks & STEMise! You may very well find your new team!
FIND EVIL!
The Speed Problem An AI-powered adversary can go from initial access to full domain control in under 8 minutes. CrowdStrike's fastest observed breakout time: 7 minutes. Horizon3's autonomous agent: 60 seconds to full privilege escalation. MIT's 2024 research: AI-driven attack workflows running 47 times faster than human operators. Meanwhile, a human incident responder is still pulling up their toolkit. That gap is the most dangerous problem in cybersecurity. Find Evil! challenges you to close it. The Mission You'll build autonomous AI agents on the SANS SIFT Workstation --- 200+ incident response tools on a single platform, 18 years of community development, 60K+ annual downloads. Protocol SIFT, the proof-of-concept framework that connects AI agents to those tools through Model Context Protocol (MCP). Protocol SIFT works. It also hallucinates more than we'd like. (That's exactly why this hackathon exists.) Unlike offensive teams that operate with three or four people in secret, we're putting the entire practitioner community on this problem simultaneously. Your job: teach an AI agent to think like a senior analyst --- how to sequence its approach, recognize when something doesn't add up, and self-correct when it gets it wrong. Who Should Join You don't need to be an incident response expert. The SIFT Workstation handles the domain tooling. You need curiosity and building skills. IR/Security professionals: You've been finding evil manually for years. Build the AI partner you wish you had at 3 AM during an active incident. AI/ML engineers: Apply your skills to a domain where speed determines whether attackers win. Real case data, real tools, no toy datasets. Students and early-career builders: No IR background required. The SIFT Workstation is your on-ramp to the most in-demand intersection in tech. Open-source contributors: Every submission lives on as a community tool. Build something thousands of responders will use. Four supported architectural approaches: Direct Agent Extension (Claude Code or OpenClaw), Custom MCP Server, Multi-Agent Frameworks (AutoGen, CrewAI, LangGraph), or Alternative Agentic IDEs (Cursor, Cline, Aider). Teams up to 5. Solo permitted. April 15 -- June 15, 2026. $22,000+ in prizes. About the Challenge Why this exists In November 2025, Anthropic's security team published findings on GTG-1002 --- a Chinese state-sponsored operation where attackers used Claude Code to run autonomous reconnaissance, exploitation, and lateral movement at 80-90% autonomy. The AI handled everything at request rates Anthropic described as "physically impossible" for human operators. That was the offensive side. The SIFT Workstation is the defensive platform. Protocol SIFT demonstrated what's possible when you connect AI agents to that platform through MCP. This hackathon is how the community makes it real. The DFIR community built the SIFT Workstation 18 years ago to give every practitioner access to professional-grade tools. Find Evil! extends that mission: give every responder an AI co-pilot that can triage incidents at the speed adversaries now operate. The gap we're closing Manual command-line incident response cannot compete with autonomous agents executing thousands of requests. Adversaries move at machine speed. Defenders still look up command-line flags during active incidents. Your goal: build AI systems on the SIFT Workstation that match that velocity --- triaging, correlating, and reporting at the pace the threat demands. This hackathon is how. Get Started Register on Devpost (you're here) Join the Protocol SIFT Slack --- this is where questions get answered, teams form, and mentors hang out - Download the SIFT Workstation from sans.org/tools/sift-workstation Install Protocol SIFT Package to demonstrate automated analysis, To install Protocol SIFT, after you download SIFT OVA, and login, run this command from your terminal:: $ curl -fsSL https://raw.githubusercontent.com/teamdfir/protocol-sift/main/install.sh | bash Review the starter resources: sample case data (hard drives, memory images), example submission. Pick a problem and start building. See "What to Build" for project ideas and supported architectural approaches to get past the blank-screen problem.
FIND EVIL!
The Speed Problem An AI-powered adversary can go from initial access to full domain control in under 8 minutes. CrowdStrike's fastest observed breakout time: 7 minutes. Horizon3's autonomous agent: 60 seconds to full privilege escalation. MIT's 2024 research: AI-driven attack workflows running 47 times faster than human operators. Meanwhile, a human incident responder is still pulling up their toolkit. That gap is the most dangerous problem in cybersecurity. Find Evil! challenges you to close it. The Mission You'll build autonomous AI agents on the SANS SIFT Workstation --- 200+ incident response tools on a single platform, 18 years of community development, 60K+ annual downloads. Protocol SIFT, the proof-of-concept framework that connects AI agents to those tools through Model Context Protocol (MCP). Protocol SIFT works. It also hallucinates more than we'd like. (That's exactly why this hackathon exists.) Unlike offensive teams that operate with three or four people in secret, we're putting the entire practitioner community on this problem simultaneously. Your job: teach an AI agent to think like a senior analyst --- how to sequence its approach, recognize when something doesn't add up, and self-correct when it gets it wrong. Who Should Join You don't need to be an incident response expert. The SIFT Workstation handles the domain tooling. You need curiosity and building skills. IR/Security professionals: You've been finding evil manually for years. Build the AI partner you wish you had at 3 AM during an active incident. AI/ML engineers: Apply your skills to a domain where speed determines whether attackers win. Real case data, real tools, no toy datasets. Students and early-career builders: No IR background required. The SIFT Workstation is your on-ramp to the most in-demand intersection in tech. Open-source contributors: Every submission lives on as a community tool. Build something thousands of responders will use. Four supported architectural approaches: Direct Agent Extension (Claude Code or OpenClaw), Custom MCP Server, Multi-Agent Frameworks (AutoGen, CrewAI, LangGraph), or Alternative Agentic IDEs (Cursor, Cline, Aider). Teams up to 5. Solo permitted. April 15 -- June 15, 2026. $22,000+ in prizes. About the Challenge Why this exists In November 2025, Anthropic's security team published findings on GTG-1002 --- a Chinese state-sponsored operation where attackers used Claude Code to run autonomous reconnaissance, exploitation, and lateral movement at 80-90% autonomy. The AI handled everything at request rates Anthropic described as "physically impossible" for human operators. That was the offensive side. The SIFT Workstation is the defensive platform. Protocol SIFT demonstrated what's possible when you connect AI agents to that platform through MCP. This hackathon is how the community makes it real. The DFIR community built the SIFT Workstation 18 years ago to give every practitioner access to professional-grade tools. Find Evil! extends that mission: give every responder an AI co-pilot that can triage incidents at the speed adversaries now operate. The gap we're closing Manual command-line incident response cannot compete with autonomous agents executing thousands of requests. Adversaries move at machine speed. Defenders still look up command-line flags during active incidents. Your goal: build AI systems on the SIFT Workstation that match that velocity --- triaging, correlating, and reporting at the pace the threat demands. This hackathon is how. Get Started Register on Devpost (you're here) Join the Protocol SIFT Slack --- this is where questions get answered, teams form, and mentors hang out - Download the SIFT Workstation from sans.org/tools/sift-workstation Install Protocol SIFT Package to demonstrate automated analysis, To install Protocol SIFT, after you download SIFT OVA, and login, run this command from your terminal:: $ curl -fsSL https://raw.githubusercontent.com/teamdfir/protocol-sift/main/install.sh | bash Review the starter resources: sample case data (hard drives, memory images), example submission. Pick a problem and start building. See "What to Build" for project ideas and supported architectural approaches to get past the blank-screen problem.
Hull Tactical - Market Prediction
Can you predict market predictability?
2026 Inno CIM 存算一体高校挑战赛
存算一体（Computing-in-Memory, CIM）作为后摩尔时代提升计算能效的主要技术路径，正在重塑AI时代算力基础层的技术格局与发展方向，为我国AI大模型、智能应用的爆发提供高质增长引擎。 作为国内存算一体先锋企业，知存科技历经两届区域赛事沉淀，2026年正式升级赛事为全国高校挑战赛。联合魔搭社区 与Springer Nature 等权威伙伴，以“以赛促研、以赛遇才”为宗旨，搭建面向全国高校集成电路等相关领域学子的存算一体技术交流平台。 【5大赛道一键入门指南来袭，快速上手，比起方案完整性更强调创新性，更多问题扫码加入赛道群，大胆提问评委们，收获产业一线专家交流机会 https://iucylxooqp.feishu.cn/docx/IiBId19Mvo6eUIxtKvfcp3jVnvd?from=from_copylink】 赛题类别1.1 题目3D异构集成与系统技术协同优化（STCO）1.2 题目背景存内计算技术发展和架构进步推动了计算性能、效率和功能的持续提升。存内计算技术的“存”+“算”结合特性天然与异构3D集成技术相契合，包括Chiplets堆叠、晶圆背面处理、混合键合等技术。这些创新能够将不同的芯片功能（逻辑、内存、电源传输）分配到专门的堆叠层中，这是一种由系统技术协同优化（STCO）驱动的新范式，从而针对各种工作负载优化性能、能耗和面积。随着互连和3D封装等异构集成技术的进步，关注点也在逐步向上转移到系统层面，这决定了异构Chiplets能否高效协作，且在资源访问方面不会出现任何瓶颈。同时，在3D集成中凸显的供电以及散热问题，也亟待创造性的优化方案。赛题研究方向开放性非命题类研究2.1 研究方向面向“存内计算技术”，如何设计设计3D异构集成方案，实现1+1>2的效果，提高计算性能的上限；面向“存内计算技术”，如何通过系统技术协同优化（STCO），解决在3D集成中凸显的供电以及散热问题；2.1.1 基本目标抛开传统的“油改电”套路，回归第一性原理，从基本需求出发，设计“纯电车”；利用维度的扩展与STCO带来的设计灵活性，为“存内计算技术”提供稳定可控的电、热环境；既可以从“整体”出发，改善电、热指标。比如，通过在堆叠中增加interposer DIE（含DTC电容）并结合不同层阵列延迟启动，优化di/dt引起的IR Drop;可以从“局部”出发，利用STCO+异构堆叠解决过程中遇到的问题 。比如，模拟存算技术对Array的空间+时间温差均要求稳定。在实现热管理时，如何利用有限的温度Sensor实现对一个“面”进行温度分布感知；也可以从“调度控制”出发，充分利用3D堆叠扩展的第三维度，进行动态温度（功耗）控制策略或者自适应的温度（功耗）控制策略。将传统2D芯片的动态功耗管理（DPM）以及自适应频率控制（AVFS）思想扩展适配存算+3DIC特征2.1.2 设计误区容易陷入“工程是否可实现的循环” ；立足于当前的工程能力，又要高于当前阶段的能力；容易陷入“具体实现的细节中”；STCO+3D异构堆叠，均是横跨多个领域的工程，可以“抓大放小”，重点放在关键环节上赛题交付3.1 交付需求设计报告：参赛队伍需提交设计报告（doc/docx及pdf文件）， 内容需包含： 引言 工作原理以及技术原理说明：任务的核心需求 详细设计与实现：架构选择以及理由 关键挑战：精度控制，动态尺寸支持以及流水线优化 性能优化分析 总结 参考文献和团队介绍 介绍 PPT：主要工作，创新点，数据对比，结论3.2 模型说明通过搭建简化模型而非完成产品来说明有效性的方法，常见的有概念验证（Proof of Concept，PoC）、原型（Prototype）和最小可行产品（Minimum Viable Product，MVP），三者核心都是以低成本快速验证核心假设，以下是具体说明：3.2.1 概念验证（PoC）核心目标：验证核心技术或概念的可行性，回答 “能不能做” 的问题，不追求产品形态与用户体验，仅聚焦技术与逻辑层面的有效性证明。典型特点：极度简化，可能只是一个实验脚本、简易硬件组合或核心算法模型，不考虑可扩展性等非核心要素。适用场景：新想法、新技术落地初期，判断技术路径是否可行3.2.2 原型验证（Prototype）核心目标：将抽象概念转化为具象模型，验证功能逻辑、用户交互或设计方案的合理性，回答 “好不好用 / 合不合理” 的问题，典型特点：有基础的交互，形式多样，如纸质原型、数字线框图、简易功能样机等，重点是呈现核心功能与流程，不追求性能与稳定性。适用场景：产品设计阶段，快速迭代优化功能与体验，确保方向符合需求3.2.3 最小可行验证（MVP）核心目标：用极少的资源，把原型验证中的方案进行物理实现，针对识别的关键环节，进行详细实现。其他非必要环节，做等效实现典型特点：具备核心功能，能解决用户核心痛点，不包含非必要功能，用于快速验证需求方案，指导迭代方向。适用场景：创新项目初期，快速试错，降低验证成本3.3 赛题案例与评判参考3.3.1 案例一选择研究方向研究方向：面向“存内计算技术”，如何通过系统技术协同优化（STCO），解决在3D集成中凸显的供电以及散热问题；定义研究目标模拟存算技术，对Array的空间+时间温差均要求稳定。在实现热管理时，如何利用有限的温度Sensor实现对一个“面”进行温度分布感知提出可能的解决方案想法：利用机器学习方法，把有限Sensor感知的温度，恢复为完整温度分布图把一个时刻的温度分布等效为一张“图片”，把随着时间变化的温度分布等效为一段“视频”有限的温度sensor等效为“马赛克”问题变为，如何把“马赛克”图片或视频，恢复为原始图片；-> 在图像处理领域，有较多的成熟研究，可以将其跨界应用到温度感知方向-> 芯片由确定的功能模块组成，不同模块完成不同的功能，协同完成特定的业务；因此，芯片在行为行为下，有其独特的功耗分布“指纹”4. 实现方案说明阶段阶段目标要求概念验证核心目标：验证核心技术或概念的可行性，回答 “能不能做” 的问题，不追求产品形态与用户体验，仅聚焦技术与逻辑层面的有效性证明。典型特点：极度简化，可能只是一个实验脚本、简易硬件组合或核心算法模型，不考虑可扩展性等非核心要素。做逻辑分析以及概念分析图文并茂，把问题以及解决问题的思路描述清楚完成相关文献检索，输出检索分析报告该问题是否已经有类似的研究，研究进展如何，仍存在哪些问题提出的想法，与过往研究有哪些优势核心方法对比分析原型验证核心目标：将抽象概念转化为具象模型，验证功能逻辑、用户交互或设计方案的合理性，回答 “好不好用 / 合不合理” 的问题，典型特点：有基础的交互，形式多样，如纸质原型、数字线框图、简易功能样机等，重点是呈现核心功能与流程，不追求性能与稳定性。用简化的数学模型，验证“概念方案”的效果以及可行性可以用python/matlab做数学建模使用机器学习方法，需要有足够的训练数据；训练数据可以通过构造来获得可以假设理想数据最小可行验证核心目标：用极少的资源，把原型验证中的方案进行物理实现，针对识别的关键环节，进行详细实现。其他非必要环节，做等效实现典型特点：具备核心功能，能解决用户核心痛点，不包含非必要功能，用于快速验证需求方案，指导迭代方增加非理想性情况 附加挑战/加分项芯片上T-sensor感知温度是一个模拟量，是否可以通过对不同模块的功耗感知，恢复芯片温度分布功耗感知是否可以通过对不同区域的利用率统计替代给出芯片实现的方案3.3.2 评分标准本次验证分为概念验证、原型验证、最小可行验证三个核心阶段，附加挑战为加分项，总分按100 分（核心）+20 分（加分） 设定，各阶段分值根据完成难度、核心度梯度分配，评分标准聚焦完成度、科学性、创新性、实操性四大维度，贴合3D异构集成与系统技术协同优化（STCO）阶段评分标准概念验证分值占比：30 分核心目标：验证核心技术逻辑可行性，完成文献支撑与思路论证阶段要求 & 对应评分标准 + 分值1. 逻辑分析及概念分析（15 分）10-15 分：图文并茂（含逻辑框图、技术路线图等），清晰界定芯片温度分布恢复 / 功耗感知 / 利用率统计替代的核心问题、技术痛点，解决思路逻辑闭环，贴合芯片设计，无逻辑漏洞。5-9 分：有图有文，能描述核心问题与解决思路，但痛点界定模糊，或思路存在少量逻辑瑕疵，未完全贴合芯片硬件实现场景。0-4 分：仅文字描述，无相关图示；或问题、思路描述混乱，核心逻辑不成立。2. 相关文献检索及分析报告（15 分）（1）研究现状与现存问题（5 分）5 分：全面梳理相关研究进展，精准提炼当前研究的核心未解决问题；2-4 分：梳理研究进展不全面，仅提炼出部分现存问题，与本研究结合度低；0-1 分：未梳理研究进展，或现存问题提炼错误。（2）本研究想法的优势（5 分）5 分：明确对比过往研究，从技术路线、实现成本、感知精度、芯片适配性等方面提炼本研究的核心优势，且优势具有实际研究价值；2-4 分：能提出本研究优势，但未结合过往研究对比，或优势描述空洞、无实际价值；0-1 分：未分析优势，或优势与过往研究存在明显重复。（3）核心方法对比分析（5 分）5 分：构建对比维度（如算法复杂度、硬件开销、感知效率、适用场景），对本研究核心方法与过往主流方法进行量化 / 定性对比，附对比表 / 图，结论清晰；2-4 分：有对比分析，但对比维度单一，未形成系统的对比框架，结论模糊；0-1 分：未做核心方法对比，或对比内容错误。原型验证分值占比：40 分核心目标：通过数学建模将抽象概念转化为具象模型，验证方案可行性1. 简化数学模型构建与验证（40 分）（1）建模工具与模型设计（10 分）10 分：选用 Python/Matlab 适配建模需求，数学模型贴合设计方案，模型假设合理，变量、参数定义清晰；6-9 分：使用 Python/Matlab 建模，模型基本贴合物理规律，但部分参数定义模糊，假设存在少量不合理性；2-5 分：建模工具选用不当，或模型设计与核心问题脱节，关键参数缺失；0-1 分：未完成数学模型构建。（2）数据准备（10 分）10 分：若使用机器学习方法，构造的训练数据贴合芯片实际工作场景，数据量充足、维度完整，附数据预处理流程；未使用机器学习方法则理想数据假设贴合芯片物理特性，边界条件设定合理；6-9 分：构造的数据维度基本完整，但与芯片实际场景贴合度低；或理想数据假设基本合理，边界条件有少量疏漏；2-5 分：数据量不足、维度缺失，或理想数据假设明显脱离实际，边界条件未设定；0-1 分：未准备训练数据 / 设定理想数据。（3）模型仿真与结果分析（20 分）16-20 分：完成完整的模型仿真实验，仿真流程可复现，输出清晰的仿真结果（如精度曲线、误差分析、功能验证图），结果分析能明确验证方案的可行性与效果，且能提炼模型存在的优化点；10-15 分：完成仿真实验，流程基本可复现，有仿真结果，但结果分析不深入，仅能初步验证方案可行性，未提炼优化点；4-9 分：仿真实验不完整，流程不可复现，结果缺失，仅能验证部分功能逻辑；0-3 分：未完成模型仿真，或仿真结果与验证目标完全无关。最小可行验证分值占比：30 分核心目标：物理实现核心方案，增加非理想性情况验证，验证芯片实际场景下的方案有效性1. 非理想性情况的引入与验证（30 分）（1）非理想性场景设计（10 分）10 分：全面引入芯片实际工作中的非理想性情况（如模拟量噪声、芯片工艺偏差、区域间串扰、负载波动、环境温度变化等），场景设计贴合工业级芯片应用实际，边界条件明确；6-9 分：引入主要的非理想性情况，但场景设计未考虑芯片实际工艺 / 工作特性，部分边界条件模糊；2-5 分：仅引入少量非理想性情况，场景设计单一，与实际脱节；0-1 分：未引入非理想性情况。（2）核心方案的物理实现（10 分）10 分：针
2026 Inno CIM 存算一体高校挑战赛
存算一体（Computing-in-Memory, CIM）作为后摩尔时代提升计算能效的主要技术路径，正在重塑AI时代算力基础层的技术格局与发展方向，为我国AI大模型、智能应用的爆发提供高质增长引擎。 作为国内存算一体先锋企业，知存科技历经两届区域赛事沉淀，2026年正式升级赛事为全国高校挑战赛。联合魔搭社区 与Springer Nature 等权威伙伴，以“以赛促研、以赛遇才”为宗旨，搭建面向全国高校集成电路等相关领域学子的存算一体技术交流平台。 【5大赛道一键入门指南来袭，快速上手，比起方案完整性更强调创新性，更多问题扫码加入赛道群，大胆提问评委们，收获产业一线专家交流机会 https://iucylxooqp.feishu.cn/docx/IiBId19Mvo6eUIxtKvfcp3jVnvd?from=from_copylink】 赛题类别1.1 题目3D异构集成与系统技术协同优化（STCO）1.2 题目背景存内计算技术发展和架构进步推动了计算性能、效率和功能的持续提升。存内计算技术的“存”+“算”结合特性天然与异构3D集成技术相契合，包括Chiplets堆叠、晶圆背面处理、混合键合等技术。这些创新能够将不同的芯片功能（逻辑、内存、电源传输）分配到专门的堆叠层中，这是一种由系统技术协同优化（STCO）驱动的新范式，从而针对各种工作负载优化性能、能耗和面积。随着互连和3D封装等异构集成技术的进步，关注点也在逐步向上转移到系统层面，这决定了异构Chiplets能否高效协作，且在资源访问方面不会出现任何瓶颈。同时，在3D集成中凸显的供电以及散热问题，也亟待创造性的优化方案。赛题研究方向开放性非命题类研究2.1 研究方向面向“存内计算技术”，如何设计设计3D异构集成方案，实现1+1>2的效果，提高计算性能的上限；面向“存内计算技术”，如何通过系统技术协同优化（STCO），解决在3D集成中凸显的供电以及散热问题；2.1.1 基本目标抛开传统的“油改电”套路，回归第一性原理，从基本需求出发，设计“纯电车”；利用维度的扩展与STCO带来的设计灵活性，为“存内计算技术”提供稳定可控的电、热环境；既可以从“整体”出发，改善电、热指标。比如，通过在堆叠中增加interposer DIE（含DTC电容）并结合不同层阵列延迟启动，优化di/dt引起的IR Drop;可以从“局部”出发，利用STCO+异构堆叠解决过程中遇到的问题 。比如，模拟存算技术对Array的空间+时间温差均要求稳定。在实现热管理时，如何利用有限的温度Sensor实现对一个“面”进行温度分布感知；也可以从“调度控制”出发，充分利用3D堆叠扩展的第三维度，进行动态温度（功耗）控制策略或者自适应的温度（功耗）控制策略。将传统2D芯片的动态功耗管理（DPM）以及自适应频率控制（AVFS）思想扩展适配存算+3DIC特征2.1.2 设计误区容易陷入“工程是否可实现的循环” ；立足于当前的工程能力，又要高于当前阶段的能力；容易陷入“具体实现的细节中”；STCO+3D异构堆叠，均是横跨多个领域的工程，可以“抓大放小”，重点放在关键环节上赛题交付3.1 交付需求设计报告：参赛队伍需提交设计报告（doc/docx及pdf文件）， 内容需包含： 引言 工作原理以及技术原理说明：任务的核心需求 详细设计与实现：架构选择以及理由 关键挑战：精度控制，动态尺寸支持以及流水线优化 性能优化分析 总结 参考文献和团队介绍 介绍 PPT：主要工作，创新点，数据对比，结论3.2 模型说明通过搭建简化模型而非完成产品来说明有效性的方法，常见的有概念验证（Proof of Concept，PoC）、原型（Prototype）和最小可行产品（Minimum Viable Product，MVP），三者核心都是以低成本快速验证核心假设，以下是具体说明：3.2.1 概念验证（PoC）核心目标：验证核心技术或概念的可行性，回答 “能不能做” 的问题，不追求产品形态与用户体验，仅聚焦技术与逻辑层面的有效性证明。典型特点：极度简化，可能只是一个实验脚本、简易硬件组合或核心算法模型，不考虑可扩展性等非核心要素。适用场景：新想法、新技术落地初期，判断技术路径是否可行3.2.2 原型验证（Prototype）核心目标：将抽象概念转化为具象模型，验证功能逻辑、用户交互或设计方案的合理性，回答 “好不好用 / 合不合理” 的问题，典型特点：有基础的交互，形式多样，如纸质原型、数字线框图、简易功能样机等，重点是呈现核心功能与流程，不追求性能与稳定性。适用场景：产品设计阶段，快速迭代优化功能与体验，确保方向符合需求3.2.3 最小可行验证（MVP）核心目标：用极少的资源，把原型验证中的方案进行物理实现，针对识别的关键环节，进行详细实现。其他非必要环节，做等效实现典型特点：具备核心功能，能解决用户核心痛点，不包含非必要功能，用于快速验证需求方案，指导迭代方向。适用场景：创新项目初期，快速试错，降低验证成本3.3 赛题案例与评判参考3.3.1 案例一选择研究方向研究方向：面向“存内计算技术”，如何通过系统技术协同优化（STCO），解决在3D集成中凸显的供电以及散热问题；定义研究目标模拟存算技术，对Array的空间+时间温差均要求稳定。在实现热管理时，如何利用有限的温度Sensor实现对一个“面”进行温度分布感知提出可能的解决方案想法：利用机器学习方法，把有限Sensor感知的温度，恢复为完整温度分布图把一个时刻的温度分布等效为一张“图片”，把随着时间变化的温度分布等效为一段“视频”有限的温度sensor等效为“马赛克”问题变为，如何把“马赛克”图片或视频，恢复为原始图片；-> 在图像处理领域，有较多的成熟研究，可以将其跨界应用到温度感知方向-> 芯片由确定的功能模块组成，不同模块完成不同的功能，协同完成特定的业务；因此，芯片在行为行为下，有其独特的功耗分布“指纹”4. 实现方案说明阶段阶段目标要求概念验证核心目标：验证核心技术或概念的可行性，回答 “能不能做” 的问题，不追求产品形态与用户体验，仅聚焦技术与逻辑层面的有效性证明。典型特点：极度简化，可能只是一个实验脚本、简易硬件组合或核心算法模型，不考虑可扩展性等非核心要素。做逻辑分析以及概念分析图文并茂，把问题以及解决问题的思路描述清楚完成相关文献检索，输出检索分析报告该问题是否已经有类似的研究，研究进展如何，仍存在哪些问题提出的想法，与过往研究有哪些优势核心方法对比分析原型验证核心目标：将抽象概念转化为具象模型，验证功能逻辑、用户交互或设计方案的合理性，回答 “好不好用 / 合不合理” 的问题，典型特点：有基础的交互，形式多样，如纸质原型、数字线框图、简易功能样机等，重点是呈现核心功能与流程，不追求性能与稳定性。用简化的数学模型，验证“概念方案”的效果以及可行性可以用python/matlab做数学建模使用机器学习方法，需要有足够的训练数据；训练数据可以通过构造来获得可以假设理想数据最小可行验证核心目标：用极少的资源，把原型验证中的方案进行物理实现，针对识别的关键环节，进行详细实现。其他非必要环节，做等效实现典型特点：具备核心功能，能解决用户核心痛点，不包含非必要功能，用于快速验证需求方案，指导迭代方增加非理想性情况 附加挑战/加分项芯片上T-sensor感知温度是一个模拟量，是否可以通过对不同模块的功耗感知，恢复芯片温度分布功耗感知是否可以通过对不同区域的利用率统计替代给出芯片实现的方案3.3.2 评分标准本次验证分为概念验证、原型验证、最小可行验证三个核心阶段，附加挑战为加分项，总分按100 分（核心）+20 分（加分） 设定，各阶段分值根据完成难度、核心度梯度分配，评分标准聚焦完成度、科学性、创新性、实操性四大维度，贴合3D异构集成与系统技术协同优化（STCO）阶段评分标准概念验证分值占比：30 分核心目标：验证核心技术逻辑可行性，完成文献支撑与思路论证阶段要求 & 对应评分标准 + 分值1. 逻辑分析及概念分析（15 分）10-15 分：图文并茂（含逻辑框图、技术路线图等），清晰界定芯片温度分布恢复 / 功耗感知 / 利用率统计替代的核心问题、技术痛点，解决思路逻辑闭环，贴合芯片设计，无逻辑漏洞。5-9 分：有图有文，能描述核心问题与解决思路，但痛点界定模糊，或思路存在少量逻辑瑕疵，未完全贴合芯片硬件实现场景。0-4 分：仅文字描述，无相关图示；或问题、思路描述混乱，核心逻辑不成立。2. 相关文献检索及分析报告（15 分）（1）研究现状与现存问题（5 分）5 分：全面梳理相关研究进展，精准提炼当前研究的核心未解决问题；2-4 分：梳理研究进展不全面，仅提炼出部分现存问题，与本研究结合度低；0-1 分：未梳理研究进展，或现存问题提炼错误。（2）本研究想法的优势（5 分）5 分：明确对比过往研究，从技术路线、实现成本、感知精度、芯片适配性等方面提炼本研究的核心优势，且优势具有实际研究价值；2-4 分：能提出本研究优势，但未结合过往研究对比，或优势描述空洞、无实际价值；0-1 分：未分析优势，或优势与过往研究存在明显重复。（3）核心方法对比分析（5 分）5 分：构建对比维度（如算法复杂度、硬件开销、感知效率、适用场景），对本研究核心方法与过往主流方法进行量化 / 定性对比，附对比表 / 图，结论清晰；2-4 分：有对比分析，但对比维度单一，未形成系统的对比框架，结论模糊；0-1 分：未做核心方法对比，或对比内容错误。原型验证分值占比：40 分核心目标：通过数学建模将抽象概念转化为具象模型，验证方案可行性1. 简化数学模型构建与验证（40 分）（1）建模工具与模型设计（10 分）10 分：选用 Python/Matlab 适配建模需求，数学模型贴合设计方案，模型假设合理，变量、参数定义清晰；6-9 分：使用 Python/Matlab 建模，模型基本贴合物理规律，但部分参数定义模糊，假设存在少量不合理性；2-5 分：建模工具选用不当，或模型设计与核心问题脱节，关键参数缺失；0-1 分：未完成数学模型构建。（2）数据准备（10 分）10 分：若使用机器学习方法，构造的训练数据贴合芯片实际工作场景，数据量充足、维度完整，附数据预处理流程；未使用机器学习方法则理想数据假设贴合芯片物理特性，边界条件设定合理；6-9 分：构造的数据维度基本完整，但与芯片实际场景贴合度低；或理想数据假设基本合理，边界条件有少量疏漏；2-5 分：数据量不足、维度缺失，或理想数据假设明显脱离实际，边界条件未设定；0-1 分：未准备训练数据 / 设定理想数据。（3）模型仿真与结果分析（20 分）16-20 分：完成完整的模型仿真实验，仿真流程可复现，输出清晰的仿真结果（如精度曲线、误差分析、功能验证图），结果分析能明确验证方案的可行性与效果，且能提炼模型存在的优化点；10-15 分：完成仿真实验，流程基本可复现，有仿真结果，但结果分析不深入，仅能初步验证方案可行性，未提炼优化点；4-9 分：仿真实验不完整，流程不可复现，结果缺失，仅能验证部分功能逻辑；0-3 分：未完成模型仿真，或仿真结果与验证目标完全无关。最小可行验证分值占比：30 分核心目标：物理实现核心方案，增加非理想性情况验证，验证芯片实际场景下的方案有效性1. 非理想性情况的引入与验证（30 分）（1）非理想性场景设计（10 分）10 分：全面引入芯片实际工作中的非理想性情况（如模拟量噪声、芯片工艺偏差、区域间串扰、负载波动、环境温度变化等），场景设计贴合工业级芯片应用实际，边界条件明确；6-9 分：引入主要的非理想性情况，但场景设计未考虑芯片实际工艺 / 工作特性，部分边界条件模糊；2-5 分：仅引入少量非理想性情况，场景设计单一，与实际脱节；0-1 分：未引入非理想性情况。（2）核心方案的物理实现（10 分）10 分：针
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