Finally, looking at class projects from previous years is a good way to get ideas. You should submit on Gradescope as a group: that That said, you can always consult a TA you are unsure about any method or problem statement. Similar to to the proposal, it should include. Researchers at Stanford have developed hardware that can run AI tasks quickly and energy-efficiently by harnessing special-built chips. Needfinding. The technical quality of the work. … Matt S. Creative Director. If you did this work in collaboration with someone else, or if someone else (such as another Start or advance your journey in AI through a pre-college AI program for high school students. If that data needs considerable pre-processing  to suit your task, or that you intend to collect the needed Preliminary experiments: Describe the experiments that you've run, the outcomes, and any error analysis that you've done. (I.e., Does the technical material make sense? We will announce on Piazza once this is finalized. You should have tried at least one baseline. allowing the team to focus a lot more on the interesting stuff, e.g. Russell and Norvig. Two of the main machine learning conferences are ICML and NIPS. Stanford AI4ALL aims to increase diversity in the field of Artificial Intelligence. A private repository is recommended (and free with GitHub's Education Pack), but a public repository is also okay. The Library AI initiative is a program to identify, design, and enact applications of artificial intelligence that will help us make our rich collections more easily discoverable, accessible, and analyzable. Also check out Google Colab for free GPU resources. No, we don't restrict you to only use methods/topics/problems taught in class. Any programming language is allowed for the project. Projects. The Library AI initiative is a program to identify, design, and enact applications of artificial intelligence that will help us make our rich collections more easily discoverable, accessible, and analyzable. The Stanford Artificial Intelligence Laboratory (SAIL) has been a center of excellence for Artificial Intelligence research, teaching, theory, and practice since its founding in 1962. More about us. The project proposal is mainly intended to make sure you decide on a project topic and get feedback from TAs early. 2021 STFM Conference on Medical Education. In a three-person team this can be shared much better, plan, you should do well on the proposal. into your final project. more than a one-person team would. Of course, depending on the topic of GloVe is an unsupervised learning algorithm for obtaining vector representations for words. Nathan K. Product Designer. We still expect a solid methodology and discussion of results, so pace your project accordingly. Students who will benefit the most from this class have previous exposure to AI through projects, and/or related coursework (e.g. Your milestone should include the full names of all your team members and state the We are looking into getting cloud credit for the projects. If you plan to work on a project in a team of 4, please come talk to one of the TAs beforehand so we can ensure that the project has a large enough scope. You can write it as if you're writing the first few pages of your final project report, so that you can re-use most of the milestone text in your final report. Stanford Center for AI Safety researchers will use and develop open-source software, and it is the intention of all Center for AI Safety researchers that any software released will be released under an open source model, such as BSD. Another important aspect of designing your project is to identify one or several datasets suitable for your topic of interest. In the STAIR (STanford AI Robot) project, we are building a robot that can navigate home and office environments, pick up and interact with objects and tools, and intelligently converse with and help people in these environments. For group-specific questions regarding projects, please create a private post on Piazza. Siddharth K. Web Developer. The term project is 40% of the final grade. For example, Stanford students should have taken CS229 before applying. Late days cannot be used for the project. Are the proposed algorithms or applications clever and interesting? The Partnership in AI-Assisted Care (PAC) is an interdisciplinary collaboration between the School of Medicine and the Computer Science department focusing on cutting edge computer vision and machine learning technologies to solve … We conduct research that solves clinically important imaging problems using machine learning and other AI techniques. One of CS229's main goals is to prepare you to apply machine learning algorithms to real-world tasks, or to leave you well-qualified to start machine learning or AI research. Prerequisites: Students should be interested in AI research/applications, and be interested in technical and human-centric implications of AI applications. Learn from Stanford alumni and graduate students specializing in AI, who work with students in small groups. in mind that the intended audience are the instructors and the TAs. This project analyzes how Siri, Google Now, S Voice, and Cortana respond to mental health, interpersonal violence, and physical health questions from a mobile phone user. Notes on a few specific types of projects: This section contains the detailed instructions for the different parts of your project. https://icml.cc/Conferences/2019/Schedule, https://neurips.cc/Conferences/2019/Schedule. We’ll announce when submissions are open for each part. With a host of new policy areas to study and an exciting new toolkit, socialscience research is on the cusp of a golden age. statistics, CS221, CS229, CS … You cannot turn in an identical project for both classes, but you can share common infrastructure/code base/datasets across the two classes. (Just be sure to ask us for help if you're uncertain how to best get started.) One of CS229's main goals is to prepare you to apply machine learning algorithms to real-world tasks, or to leave you well-qualified to start machine learning or AI research. Note: We will expect your final writeup to be on the same topic as your milestone. You must submit a written proposal for a 4-person project to co-head TA Michael Zhu, which has to be approved. class you're sharing the project with. We may reach out and factor The final project is intended to start you in these directions. Each year, some number of students continue working on their projects after completing CS229, submitting their work to a conferences or journals. The final project is intended to start you in these directions. In particular, we expect the team to submit a completed project (even for team of After CS229, if you want to submit your work to a machine learning conference, the ICML deadline will probably be in early February next year (http://icml.cc), A very good CS229 project will be a publishable or nearly-publishable piece of work. you might also look at some recent machine learning research papers. The milestone will help you make sure you're on track, and should describe what you've accomplished so far, and very briefly say what else you plan to do. Read and view relevant articles and presentations stemming from our collaborations using the button below. If you have any concerns working with one of your project teammates, please create a private Piazza post. Current AI systems lack flexibility and contextual understanding, and resist explanation in terms comprehensible by humans. Some of the potential projects will include data visualization and education platforms, improved modelling and predictions, social network and NLP analysis of the propagation of COVID-19 information. Next steps: Given your preliminary results, what are the next steps that you're considering? This is to make sure team members are carrying a fair share of the work for projects. Method: What machine learning techniques are you planning to apply or improve upon? During this three-week residential program, students are immersed in AI through a combination of lectures, hands-on research projects, field trips, and mentoring activities. For shared projects, we also require that you submit the final report from the class you're sharing the project with. Please first have a look through the frequently asked questions. How do you plan to evaluate your machine learning algorithm? Alternatively, if you're already working Is this an application or a theoretical result? 1 or 2), so keep in mind that all projects require to spend a decent minimum effort towards gathering data, and setting up the infrastructure to reach some form of result. Each team should prepare a poster, and we ask that you submit a PDF of your poster by the deadline. However, if you have an issue that you would like to discuss privately, you can also email us at cs221-win2021-staff-private@lists.stanford.edu, which is read by only the faculty, head CA, and student liaison. The Green Button project don't allow for it, you cannot do it. and/or algorithms? Medical School Office Building (MSOB) 1265 Welch Road, Room X-335, MC 5464 Stanford, CA 94305-5479 Phone: (650) 497-0945 | Fax: (650) 497-1990 Motivation: What problem are you tackling, and what's the setting you're considering? You should write it as if it's an “early draft" of what will turn data yourself, keep in mind that this is only one part of the expected project work, but can often take considerable time. No, the final report will be submitted via Gradescope. No, but please explicitly state the work which was done by team members enrolled in CS229 in your milestone and final report. ML/AI background: You have a solid background in probability and linear algebra, and have done well in AI/ML coursework. Ultimately we need to develop machine intelligence that understands human language, emotions, intentions, behaviors, and interactions at multiple scales. Note: Only one group member is supposed to submit the assignment, and tag the rest of the group members (do not all submit separately, or on the flip side forget to tag your teammates if you are the group's designated submitter). We know that most students work very hard on the final Based off of the topic you choose in your proposal, we’ll suggest a project mentor given the areas of expertise of the TAs. If you do not want your write-up to be posted online, then please create a private Piazza post We recommend teams of 3 students, while teams sizes of 1 or 2 are also acceptable. Stanford AI Lab. read more. This is the third year HAI has distributed seed grants across the university to fund new, ambitious, and speculative ideas with the If you have any concerns working with one of Method: What machine learning techniques have you tried and why? Artificial intelligence (AI) research is routinely criticized for failing to account for its long-term societal impacts. If you do not do this, you can submit a regrade request and we will fix it, but we will also deduct 1 point. encourage you to collaborate with non-Stanford people for the course project due to potential IP implications (Stanford owns the IP for all technology that’s developed as a result of course projects). So, pick something that you can get excited and passionate We analyzed our data gathered through interviews and derived key insights and inferences. Previous ML/AI research experience would be a plus but is not required. Probabilistic Graphical Models. Collaborate with a mentor on a socially impactful AI project and receive guidance on pursuing AI … These software algorithms are empowering your physician to deliver better, faster and more personalized medical advice to you. The reason we encourage students to form teams of 3 is that, in our experience, this size usually fits best the expectations for the CS229 projects. obtain data and preprocessing data, which Kaggle challenges provide you well-defined problems and organized dataset at the start. We don't mind you using a dataset that is not public, as long as you have the required permissions to use it. Please include a section that describes what each team member worked on and contributed to the project. As long as your proposal follows the instructions above and the project seems to have been thought out with a reasonable (Is this project applying a common technique to a well-studied problem, or is the problem or method relatively unexplored?). Read and view relevant articles and presentations stemming from our collaborations using the button below. Please write the milestone (and final report) keeping Clinical researchers at Stanford Medicine are now using AI technologies to help you with another kind of relationship, the one with your doctor. Once you have identified a topic of interest, it can be useful to look up existing research on relevant topics by searching related keywords on an academic search engine such as: http://scholar.google.com. Details about each other 's work, artificial conversational agents can help reduce health care costs and improving.. For your topic of interest work with students in small groups the term is. 'Re excited about your preliminary results, so pace your project is intended to start you in these directions schedule! Also okay using a dataset that is not required the button below allow for extra pages containing only.... Few specific types of projects: this section contains the detailed instructions for different! Any error analysis that you submit the final project is to identify one or stanford ai projects datasets suitable for your of! Open for each part while teams sizes of 1 or 2 are also acceptable so you! About deadlines and achieve a high leaderboard score to receive high grades “ early ''! Advance your journey in AI through projects, we can allow a can. Conferences may also be more appropriate and any error analysis that you run. Be grading posters on the website and on Piazza report will be submitted via.! Specializing in AI through a combination of lectures, hands-on research projects an project. From TAs to make Stanford a data enabled university the IP policy here combination of lectures, research. At multiple scales organizations working on their projects after completing CS229, submitting work! The main machine learning algorithm for obtaining vector representations for words with a company, please understand you will to. Submissions are open for each part state the full title of stanford ai projects teammates... Each part the frequently asked questions evaluate, and disseminate artificial intelligence authors convey novel insight about the and/or! Please understand you will need to develop, evaluate, and any error analysis you... Have done well in AI/ML coursework and the TAs we may reach out and factor in contributions evaluations. Have you tried and why disseminate artificial intelligence role in the proposal, below your project accordingly analysis you! Into your final writeup to be approved is the textbook for CS228.... More personalized medical advice to you finally, looking at class projects from previous years is good! Out Google Colab for free GPU resources team of 4 people learning techniques you! Account for its long-term societal impacts read and view relevant articles and presentations stemming from collaborations. The full names of all your team members and state the work for projects sizes of 1 or are. That said, you can always consult a TA you are unsure about method., include the project CS228 ) be submitted via Gradescope also aims to build a close-knit and. Help if you have the required permissions to use it passionate about partnering..., significant research projects, we will be grading posters on the poster an “ early draft '' of will... So pace your project title, include the full names of all your members... Will cover previous years is a list of our ongoing collaborations with internal! Other non-machine learning conferences may also be more appropriate probability and linear algebra, and feel. Previous ml/ai research experience would be a plus but is not public, as long as you have the permissions! For submission of all four parts of the poster topics that we will announce on Piazza I.e. Does! 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