TL;DR: OpenEd.ai is awarding up to $17K in prizes and over $1.5K per participant in cloud credits for open-source AI projects solving problems in Education during the global AI for Education HackWeek (July 28 — Aug 4). Judges include Computer Science faculty from Harvard University and NLP experts from around the world (e.g. François Chollet, creator of Keras), and the event is generously supported by Omidyar Network (sponsoring grand prize of $6K), IBM, Google Developer Groups, Amazon Web Services, and Digital Ocean. Over 850+ students and professionals already registered to participate from MIT, Harvard, Oxford, Cambridge, IITs and tech firms around the world. You can participate for free, from anywhere. Hacking starts tomorrow (Friday July 28), Sign up now . Six months ago, and I met as students at Harvard, bound by a common interest in education and a shared fascination for how recent advances in deep and NLP might address inefficiencies in education. We started collaborating on education-focused AI projects such as (a tutor bot capable of real-time comprehension and Q&A), and (a language learning app that describes images of your world to you in the language you’re trying to learn using deep image captioning). Nikhila learning SochoBot LingoLens Throughout these projects, we found open-source code, pre-trained models, datasets and tutorials created by the likes of ( ) and to be of tremendous value. We believe that given the steep learning curve ML often requires, and the fast pace at which the field moves within academic/research silos, the ML community will to benefit immensely from open-source initiatives that bridge learning and informational gaps. Denny Britz WildML.com Andrej Karpathy continue For this reason, Nikhila and I are building , a non-profit dedicated to developing and promoting open-source AI for education, and are excited to announce OpenEd.ai’s inaugural event: the , taking place July 28th to August 4th. OpenEd.ai AI for Education Global HackWeek During this global HackWeek, we’re excited to offer through the generous support of Amazon, IBM Watson, Google Developer Groups, and Digital Ocean; by Google and IBM; and from Harvard CS faculty and members of the global ML community. (More details in the FAQs below) free computing resources for all participants special online workshops $17,000 in prizes from our sponsors; expert judges What problems can I work on for the HackWeek? Pick any inefficiency, problem, or use case in Education you wish to address using AI, including but not limited to: personalization of content and delivery intelligent, adaptive assessments instant question-answering text summarization and machine comprehension clustering and classification of student learning styles clustering and classification of question intent question generation from text language scoring (automatic grading) What can I create and submit during the HackWeek? web apps, mobile apps, chatbots, Alexa skills, etc. Usable products: scrape public sources to collect data useful for future AI work in education and publish it with documentation Data sets: / for AI-education work you’ve done in the past or are doing right now Tutorials how-to articles All code, data, tutorials will be open-sourced at the end of the HackWeek on , and the winning projects will be promoted on OpenEd.ai’s website and various media channels. GitHub What prizes can I win? sponsored by Omidyar Network $6,000 USD Grand Prize sponsored by Amazon Web Services $5,000 in AWS Credits sponsored by IBM $3,000 USD sponsored by Google Developer Groups $3,000 in Google Cloud Credits Who’s judging? : CS professor at Harvard University; head of the ; ex- ; expert on neural machine translation, text summarization, NLP Alexander Rush Harvard NLP Facebook : ex-Google Brain; Stanford ML / CS; runs ML blog ; expert on reinforcement learning, deep learning Denny Britz WildML.com Creator of , a widely used Python deep learning library; AI & Deep Learning researcher at Google; Global rank 17 on Kaggle François Chollet: Keras.io Director of Research @ . Previously NLP @ Yahoo Labs. Essay/language-scoring expert. Runs workshop. Joel Tetreault: Grammarly NLP for Education will also be joining the panel. Experts from IBM Research What resources will I get? per participant, with an expiration date of 6 months. That’s $200 a month. $1200 of IBM Watson/Bluemix credits per participant $300 of Google Cloud Platform credits per participant for GPU training / hosting $100 AWS credits per participant for hosting $50 Digital Ocean credits In addition, OpenEd.ai is offering a list of resources to help you get started with your projects. With the help of industry experts, we have scoured the web to create and curate education specific resources for each track, including code for models (many with pre-trained checkpoints), tutorials on relevant concepts and cleaned datasets (some of which we’ve scraped specially for the HackWeek). machine learning A preview of this list is available at . The full list of resources will be released when the hacking period starts on Friday, July 28. http://opened.ai/resources.html Where do I have to be to participate? Anyone can participate from anywhere in the world. From there’s an optional in-person component at IIT Delhi university campus (in Delhi). From everyone works remotely. July 28–30, July 31-August 4, Submissions will close at 5pm IST on August 4th and winners will be announced on Thursday, August 10. This is a fantastic idea — how can I get involved as a partner? At OpenEd.ai we’re excited to create a community of people that care about open-source, AI and Education. If you want to contribute in any way, as a supporter, judge, advisor or sponsor please get in touch by or find us on Twitter @OpenEdAI. email Where can I ask questions before or during the HackWeek? We’ve created a HackWeek channel in the OpenEd.ai community slack for any questions you might have before or during the hackathon. After you have signed up for the HackWeek, please invite yourself to the Community Slack discussion at . We look forward to hearing from you. http://bit.ly/openedaislack Why Open-Source AI for Education? AI has the power to make Education more accessible, more affordable, higher quality, and more efficient for all. AI has and will continue to benefit greatly from open-source initiatives and the sharing of ideas, knowledge, and data. Over the past few years, research and applications of AI have favored highly capitalized industries, relegating “AI for education”, an admittedly difficult pursuit for both economic and technology reasons, to the realm of tech blog headlines and hype. The mission of OpenEd.ai, and of this inaugural “AI for Education” HackWeek, is to re-focus on what the computer science community can measurably achieve in this space and to inspire smart people to turn hype into results. We hope you’ll join us.
