Challenges and Contests
PolarDB, the new-generation cloud-native relational database service developed by Alibaba Cloud, is fully compatible with MySQL, PostgreSQL and highly compatible with Oracle. PolarDB is developed by Alibaba Cloud, it provides high performance and high availability of commercial database with ease to use. This contest inspires developers and enterprises to use PolarDB to empower innovation.
Hosted on Alibaba Cloud Tianchi as a part of Project AsiaForward, AETA Earthquake Prediction AI Algorithm Competition organized by Peking University Shenzhen Graduate School, SVV and Capgemini is aimed at discovering abnormal signals and features related to impending earthquakes, and building earthquake prediction models, and promoting the solution of scientific problems of earthquake prediction and forecast.
Alibaba Cloud Low-Code Development Contest is a virtual solution building contest for professionals and students in India, Singapore, Thailand, Pakistan, Sri Lanka and Nepal, organized by Alibaba Cloud and IndiaSpark. This contest welcomes participants from both tech and non-tech backgrounds, and encourage them to build solutions with their innovation and Alibaba Cloud’s low-code development tools, and win a total of $15,000 in prizes, and exclusive merchandise.
Re-Cloud Challenges 2022, co-hosed by Alibaba Cloud and CodePolitan, is a virtual low-code development competition for participants in Indonesia and Malaysia. The competition welcomes anyone to build innovative websites and solution with low-code development tools to solve real-world problems and win a total of 15,000USD in prizes plus exclusive merchandise.
This Competition focuses on the prediction of anti-VEGF treatment outcomes on patients with diabetic macular edema (DME). In this synchronous competition, you’ll build a machine learning model to predict treatment response of patients with DME. You’ll work with thousands of images collected in hospital settings to help predict patients’ response to anti-VEGF treatments. If successful, you will help ophthalmologists customize treatment plans and ensure timely and effective treatments for patients.
This challenge encourages developers and innovative enterprises around the world to think outside the box, break boundaries, and leverage accessible weather data to analyze the interplay between meteorological changes and various aspects of life, probe into the correlation between multi-source heterogeneous data, and raise the public awareness of the value of AI-assisted weather forecasting and green innovations.
Judges and Guests
Message from Yangqing Jia
Message from Xian-Sheng Hua
Message from Mingguang He
AI Courses and Certification
To help developers learn AI and machine learning, Alibaba Cloud Academy designs special courses and a certification, which is free for all participants of the Landing AI program. The courses include the following topics:
1.Introduction of Python programming language and the development environment.
2.Gain a simple understanding of Machine Learning and AI.
3.Understand Machine Learning techniques at a higher level.
4.Understand the perceptron algorithm of Machine Learning.
Please complete a form to claim the courses and certification for free with the button below.
Webinars and Tech Talks
Opening Session at APTOS Congress
Dr. Xian-Sheng, Hua, Head of DAMO Academy, announced the 2nd AI Challenge at APTOS Annual Meeting.
Effective and Reproducible Quantitative Imaging Biomarkers for Pancreatic Cancer Clinical Trails
Dr. Le Lu, the lead of the global Medical AI R&D efforts at Alibaba's DAMO Academy, shares his insights from his 15 years of Medical AI working experience.
Intelligent AI Weather Forecasting
In this webinar, experts from Alibaba DAMO Academy and ColorfulClouds Tech., will share their professional understanding for intelligent weather forecast.
Introduction of Global AI Innovation Challenges
Connect global developers to join the latest AI and Big Data competition with enormous datasets that collected and labeled from reality.
Winners of Intelligent Weather Forecast Contest
Hear the stories of Salt Bae and Monsoon, two winner teams from Indonesia.
Explore the projects from prize winners in the AI Forward challenges and contests built with Alibaba Cloud products
Reference Datasets on Tianchi
User Behaviour Dataset from Alibaba
This is the largest recommender system dataset from real industrial scenes. The UBA is collected from Alibaba advertisement system, explicitly presents user behavior data for accurate interest modeling.
Watch and Buy: A Large-Scale Multimodal Dataset for Fashion Identification in Livestreaming
This dataset contains 70,000 video clip and clothing item matched pairs. A total of 1,042,178 images are annotated with 1,654,780 bounding boxes.
3D-FUTURE: 3D Furniture Shape with Texture
3D-FUTURE provides 20,240 realistic indoor images and the associated 16,563 unique 3D furniture models with rich geometry details and informative textures.
There are more than 10K samples in Youku-VESR dataset, including the videos of different contents, different noise categories and different noise scales.
MUGE: A Multimodal Understanding And Generation Evaluation Benchmark
MUGE consists of a benchmark of tasks for multimodal understanding and generation, including Image Captioning, Text-to-Image Generation, and Multimodal Retrieval Task on the E-commerce domain.
Barley Remote Sensing Dataset
This dataset provides UAV remote sensing detection of land tags for barley, wheat, corn and other crops in Xingren City, Guizhou, and provides a data basis for crop classification and production capacity prediction.
DiaKG: an Annotated Diabetes Dataset for Medical Knowledge Graph Construction
The dataset includes basic research, clinical research, drug usage, clinical cases, diagnosis and treatment methods, etc. It contains 22,050 entities and 6,890 relations in total.
More Datasets on Tianchi
Tianchi provides datasets for research use. More than 700 top-tier academic papers have used Tianchi datasets for research.