惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

Recent Commits to openclaw:main
Recent Commits to openclaw:main
博客园 - 叶小钗
Stack Overflow Blog
Stack Overflow Blog
S
SegmentFault 最新的问题
D
DataBreaches.Net
S
Securelist
Threat Intelligence Blog | Flashpoint
Threat Intelligence Blog | Flashpoint
T
Threatpost
C
Cyber Attacks, Cyber Crime and Cyber Security
The Hacker News
The Hacker News
Jina AI
Jina AI
T
Threat Research - Cisco Blogs
GbyAI
GbyAI
Microsoft Azure Blog
Microsoft Azure Blog
WordPress大学
WordPress大学
Engineering at Meta
Engineering at Meta
T
The Exploit Database - CXSecurity.com
A
Arctic Wolf
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
C
Cisco Blogs
PCI Perspectives
PCI Perspectives
Project Zero
Project Zero
G
Google Developers Blog
宝玉的分享
宝玉的分享
H
Heimdal Security Blog
美团技术团队
Schneier on Security
Schneier on Security
C
CERT Recently Published Vulnerability Notes
Martin Fowler
Martin Fowler
博客园 - 司徒正美
博客园 - 三生石上(FineUI控件)
Help Net Security
Help Net Security
CTFtime.org: upcoming CTF events
CTFtime.org: upcoming CTF events
Google DeepMind News
Google DeepMind News
C
Check Point Blog
Hacker News: Ask HN
Hacker News: Ask HN
L
LINUX DO - 最新话题
O
OpenAI News
Hacker News - Newest:
Hacker News - Newest: "LLM"
N
Netflix TechBlog - Medium
S
Security Affairs
小众软件
小众软件
MongoDB | Blog
MongoDB | Blog
Blog — PlanetScale
Blog — PlanetScale
V
V2EX - 技术
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
F
Fortinet All Blogs
G
GRAHAM CLULEY
云风的 BLOG
云风的 BLOG
S
Secure Thoughts

Hugging Face - Blog

Waypoint-1.5: Higher-Fidelity Interactive Worlds for Everyday GPUs ALTK‑Evolve: On‑the‑Job Learning for AI Agents Safetensors is Joining the PyTorch Foundation Holo3: Breaking the Computer Use Frontier Any Custom Frontend with Gradio's Backend A New Framework for Evaluating Voice Agents (EVA) Bringing Robotics AI to Embedded Platforms: Dataset Recording, VLA Fine‑Tuning, and On‑Device Optimizations One-Shot Any Web App with Gradio's gr.HTML CUGA on Hugging Face: Democratizing Configurable AI Agents New in llama.cpp: Model Management Building Deep Research: How we Achieved State of the Art OVHcloud on Hugging Face Inference Providers 🔥 20x Faster TRL Fine-tuning with RapidFire AI Building for an Open Future - our new partnership with Google Cloud Aligning to What? Rethinking Agent Generalization in MiniMax M2 Building a Healthcare Robot from Simulation to Deployment with NVIDIA Isaac Sentence Transformers is joining Hugging Face! Unlock the power of images with AI Sheets Supercharge your OCR Pipelines with Open Models Google Cloud C4 Brings a 70% TCO improvement on GPT OSS with Intel and Hugging Face Get your VLM running in 3 simple steps on Intel CPUs Nemotron-Personas-India: Synthesized Data for Sovereign AI Introducing RTEB: A New Standard for Retrieval Evaluation Accelerating Qwen3-8B Agent on Intel® Core™ Ultra with Depth-Pruned Draft Models VibeGame: Exploring Vibe Coding Games Nemotron-Personas-Japan: ソブリン AI のための合成データセット Swift Transformers Reaches 1.0 – and Looks to the Future Smol2Operator: Post-Training GUI Agents for Computer Use SyGra: The One-Stop Framework for Building Data for LLMs and SLMs Gaia2 and ARE: Empowering the community to study agents Scaleway on Hugging Face Inference Providers 🔥 Democratizing AI Safety with RiskRubric.ai Public AI on Hugging Face Inference Providers 🔥 `LeRobotDataset:v3.0`: Bringing large-scale datasets to `lerobot` Visible Watermarking with Gradio Introducing the Palmyra-mini family: Powerful, lightweight, and ready to reason! Tricks from OpenAI gpt-oss YOU 🫵 can use with transformers Fine-tune Any LLM from the Hugging Face Hub with Together AI Jupyter Agents: training LLMs to reason with notebooks mmBERT: ModernBERT goes Multilingual Welcome EmbeddingGemma, Google's new efficient embedding model SAIR: Accelerating Pharma R&D with AI-Powered Structural Intelligence Make your ZeroGPU Spaces go brrr with ahead-of-time compilation NVIDIA Releases 6 Million Multi-Lingual Reasoning Dataset Generate Images with Claude and Hugging Face From Zero to GPU: A Guide to Building and Scaling Production-Ready CUDA Kernels MCP for Research: How to Connect AI to Research Tools Kimina-Prover-RL Arm & ExecuTorch 0.7: Bringing Generative AI to the masses Neural Super Sampling is here! TextQuests: How Good are LLMs at Text-Based Video Games? 🇵🇭 FilBench - Can LLMs Understand and Generate Filipino? Introducing AI Sheets: a tool to work with datasets using open AI models! Accelerate ND-Parallel: A guide to Efficient Multi-GPU Training Vision Language Model Alignment in TRL ⚡️ Welcome GPT OSS, the new open-source model family from OpenAI! Measuring Open-Source Llama Nemotron Models on DeepResearch Bench 📚 3LM: A Benchmark for Arabic LLMs in STEM and Code Implementing MCP Servers in Python: An AI Shopping Assistant with Gradio Introducing Trackio: A Lightweight Experiment Tracking Library from Hugging Face Say hello to `hf`: a faster, friendlier Hugging Face CLI ✨ Parquet Content-Defined Chunking TimeScope: How Long Can Your Video Large Multimodal Model Go? Fast LoRA inference for Flux with Diffusers and PEFT Accelerate a World of LLMs on Hugging Face with NVIDIA NIM Arc Virtual Cell Challenge: A Primer Consilium: When Multiple LLMs Collaborate Back to The Future: Evaluating AI Agents on Predicting Future Events Five Big Improvements to Gradio MCP Servers Ettin Suite: SoTA Paired Encoders and Decoders Migrating the Hub from Git LFS to Xet Kimina-Prover: Applying Test-time RL Search on Large Formal Reasoning Models Asynchronous Robot Inference: Decoupling Action Prediction and Execution ScreenEnv: Deploy your full stack Desktop Agent Building the Hugging Face MCP Server Reachy Mini - The Open-Source Robot for Today's and Tomorrow's AI Builders Creating custom kernels for the AMD MI300 Upskill your LLMs With Gradio MCP Servers SmolLM3: smol, multilingual, long-context reasoner Three Mighty Alerts Supporting Hugging Face’s Production Infrastructure Efficient MultiModal Data Pipeline Announcing NeurIPS 2025 E2LM Competition: Early Training Evaluation of Language Models Training and Finetuning Sparse Embedding Models with Sentence Transformers Welcome the NVIDIA Llama Nemotron Nano VLM to Hugging Face Hub Gemma 3n fully available in the open-source ecosystem! Transformers backend integration in SGLang (LoRA) Fine-Tuning FLUX.1-dev on Consumer Hardware Groq on Hugging Face Inference Providers 🔥 How Long Prompts Block Other Requests - Optimizing LLM Performance Learn the Hugging Face Kernel Hub in 5 Minutes Convert Transformers to ONNX with Hugging Face Optimum Intel and Hugging Face Partner to Democratize Machine Learning Hardware Acceleration Director of Machine Learning Insights [Part 3: Finance Edition] The Annotated Diffusion Model Deep Q-Learning with Space Invaders Graphcore and Hugging Face Launch New Lineup of IPU-Ready Transformers Introducing Pull Requests and Discussions 🥳 Efficient Table Pre-training without Real Data: An Introduction to TAPEX An Introduction to Q-Learning Part 2/2 How Sempre Health is leveraging the Expert Acceleration Program to accelerate their ML roadmap
Join the AMD Open Robotics Hackathon
Eric Ma, Guruprasad MP · 2025-11-14 · via Hugging Face - Blog

Back to Articles

Eric Ma's avatar

Guruprasad MP's avatar

Blog Banner

Looking to show off your robotics aptitude? The AMD Open Robotics Hackathon hosted by AMD, Hugging Face, and Data Monsters is the place to do it. Whether you’re a student, hobbyist, startup founder, or seasoned engineer, this event brings together makers, coders, and roboticists for a fast-paced, hands-on competition that turns bold ideas into functioning demos.

The first of two in-person hackathons will take place from December 5-7, 2025 in Tokyo Japan. Our next stop will be in Paris France from December 12-14, 2025.

Preparing for the Hackathon:
Form a team of up to four roboticists (ages 18+) to take on two missions over the course of 3 days.

Mission 1 — An instructor-led exploration and preparation session. Learn how to set up the LeRobot development environment using AMD AI solutions
Mission 2 — Build your own creative solution to a real-world problem. Your team has two days to develop an innovative freestyle project using LeRobot

Recommended technical proficiency:
• Strong Linux development skills and experience with Python and related tooling and containerization
• Machine learning skills, familiarity with PyTorch, and hands-on experience with model training and inference
• Bonus if your team has experience with ROCm, LeRobot, and embedded development.

Hardware will be provided to contestants in the form of SO-101 robotics kits, AMD Ryzen™ AI processor equipped laptops, and access to AMD Instinct™ MI300X GPUs on the AMD Developer Cloud. User guides and related information will be provided at the start of the contest.

Prizes will be awarded to the top 7 teams in each city, with the first-place team receiving $10,000! To qualify, teams must complete both Missions, with judges assessing the creativity, difficulty, ease-of-use, and practicality of Mission 2 projects on a 100-point scale.

If you care about robotics and edge AI and want to see how your ideas behave in the wild, the AMD Open Robotics Hackathon is a can’t-miss opportunity.

Register Now

Tokyo T&Cs: NO PURCHASE NECESSARY. Sponsor: Advanced Micro Devices, Inc. Contest is open to participants 18 years or older. Contest registration begins on 11/12/2025 at 12:00PM JST and ends on 12/4/2025 at 10:00PM JST. The Contest concludes on 12/7/2025 at 8:00PM JST. To enter and for Official Rules and Terms, including prize descriptions and judging criteria, see https://amdroboticshackathon.datamonsters.com/. Void where prohibited.

Paris T&Cs: NO PURCHASE NECESSARY. Sponsor: Advanced Micro Devices, Inc. Contest is open to participants 18 years or older. Contest registration begins on 11/12/2025 at 12:00PM CET and ends on 12/11/2025 at 10:00PM CET. The Contest concludes on 12/14/2025 at 8:00PM CET. To enter and for Official Rules and Terms, including prize descriptions and judging criteria, see https://amdroboticshackathon.datamonsters.com/. Void where prohibited.