AI Forward

Connect global developers to tackle a series of most challenging digital transformation issues through AI competitions, courses, datasets and more.

Challenges and Contests

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 Selina Yuan

General Manager of International Business Unit, Alibaba Cloud Intelligence

Message from Yangqing Jia

Vice President of Alibaba Group, Head of the System for AI Lab (SAIL), DAMO Academy

Message from Xian-Sheng Hua

Distinguished Engineer, VP of Alibaba Group, Head of AI Center of DAMO Academy

Message from Le Lu

Senior Director at DAMO Academy, Alibaba Group

Message from Mingguang He

Professor of Ophthalmology, University of Melbourne and Centre for Eye Research Australia, President of APTOS

Message from Paisan Ruamviboonsuk

Clinical Professor of Ophthalmology, College of Medicine, Rangsit University Rajavithi Hospital

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.

Winners of Re-Cloud Challenges 2022

Hear how the Indonesian developers used Alibaba Cloud low-code tools to build innovative projects.

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.

Youku-VESR Dataset

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.

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