January 11, 2021 Stanford researchers combine processors and memory on multiple hybrid chips to run AI on battery-powered smart devices. We are looking into getting cloud credit for the projects. JC L. App Developer. team from completing the project, you should do well on the milestone. Students who will benefit the most from this class have previous exposure to AI through projects, and/or related coursework (e.g. In exceptional cases, we can allow a team of 4 people. Training is performed on aggregated global word-word co-occurrence statistics from a corpus, and the resulting representations showcase interesting linear substructures of the word vector space. You should submit on Gradescope as a group: that The category can be one of: Your proposal should be a PDF document, giving the title of the project, the project category, the full names of all of your team members, the SUNet ID of your team members, and a 300-500 word description of what you plan to do. 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. Read and view relevant articles and presentations stemming from our collaborations using the button below. Stanford AI4ALL aims to increase diversity in the field of Artificial Intelligence. Two of the main machine learning conferences are ICML and NIPS. We don't mind you using a dataset that is not public, as long as you have the required permissions to use it. Support Lucile Packard Children's Hospital Stanford and child and maternal health. For example, Stanford students should have taken CS229 before applying. 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. The final report will be judged based off of the clarity of the report, the relevance of the project to topics taught in CS229, the novelty of the problem, and the technical quality and significance of the work. Also check out Google Colab for free GPU resources. Stanford AI4ALL aims to increase diversity in the field of Artificial Intelligence. plan, you should do well on the proposal. If you have any concerns working with one of A comprehensive reference for all the AI topics that we will cover. Is this work likely to be useful and/or have impact? Here is a short list of these projects. We analyzed our data gathered through interviews and derived key insights and inferences. No, but please explicitly state the work which was done by team members enrolled in CS229 in your milestone and final report. 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. about! The term project is 40% of the final grade. For shared projects, we also require that you submit the final report from the We work with the Stanford AI Lab to provide students a hands-on experience with real, significant research 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. From idea to invention! Please include a section that describes what each team member worked on and contributed to the project. If you choose to collaborate Are the proposed algorithms or applications clever and interesting? Environmental Education. If that data needs considerable pre-processing  to suit your task, or that you intend to collect the needed Projects. Do the authors convey novel insight about the problem If you're looking for project ideas, please come to office hours, and we'd be happy to brainstorm and suggest some project ideas. Preliminary experiments: Describe the experiments that you've run, the outcomes, and any error analysis that you've done. (Is this project applying a common technique to a well-studied problem, or is the problem or method relatively unexplored?). We may reach out and factor Method: What machine learning techniques are you planning to apply or improve upon? In a three-person team this can be shared much better, No, we don't restrict you to only use methods/topics/problems taught in class. ML/AI background: You have a solid background in probability and linear algebra, and have done well in AI/ML coursework. After the class, we will also post all the final writeups online so that you can read about each other's work. No, the final report will be submitted via Gradescope. However, the project need to focus on model performance and achieve a high leaderboard score to receive high grades. If you did this work in collaboration with someone else, or if someone else (such as another https://icml.cc/Conferences/2019/Schedule, https://neurips.cc/Conferences/2019/Schedule. This extends to projects that were done in collaboration with research groups as well. Ultimately we need to develop machine intelligence that understands human language, emotions, intentions, behaviors, and interactions at multiple scales. in mind that the intended audience are the instructors and the TAs. you might also look at some recent machine learning research papers. Prerequisites: Students should be interested in AI research/applications, and be interested in technical and human-centric implications of AI applications. 559 Nathan Abbott Way Stanford Law School Stanford, CA 94305 Stanford’s Susan Athey discusses the extraordinary power of machine-learning and AI techniques, allied with economists’ know-how, to answer real-world business and policy problems. Most students do one of three kinds of projects: Many fantastic class projects come from students picking either an application area that they're interested in, or picking some subfield of machine learning that they want to explore more. You cannot turn in an identical project for both classes, but you can share common infrastructure/code base/datasets across the two classes. is, for each part, please make one submission for your entire project group and tag your team members. Another important aspect of designing your project is to identify one or several datasets suitable for your topic of interest. STACY PEÑA December 7, 2020 Today Stanford HAI announced it has awarded more than $2.5 million dollars in seed grants to fund interdisciplinary artificial intelligence (AI) research at Stanford University that aims to improve the human condition. Since its birth in 1956, the AI dream has been to build systems that exhibit broad-spectrum competence and intelligence. projects, and so we are extremely careful to give each writeup ample attention, and read and try very hard to understand everything you describe in it. Researchers at Stanford have developed hardware that can run AI tasks quickly and energy-efficiently by harnessing special-built chips. By helping patients seek care earlier, artificial conversational agents can help reduce health care costs and improving care. This is because a significant amount of work is needed to formulate the problem, 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. 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. A very good CS229 project will be a publishable or nearly-publishable piece of work. We still expect a solid methodology and discussion of results, so pace your project accordingly. Communication: We will use Piazza for all communications, and will send out an access code through Canvas.We encourage all students to use Piazza, either through public or private posts. If you do not do this, you can submit a regrade request and we will fix it, but we will also deduct 1 point. Human-Centered AI. … Learn how we are healing patients through science & compassion, Stanford team stimulates neurons to induce particular perceptions in mice's minds, Students from far and near begin medical studies at Stanford. and the NIPS deadline is usually in early June (http://nips.cc/). More about us. Probabilistic Graphical Models. We recommend teams of 3 students, while teams sizes of 1 or 2 are also acceptable. Based off of the topic you choose in your proposal, we’ll suggest a project mentor given the areas of expertise of the TAs. This is just a recommendation; feel free to speak with other TAs as well. “The future of AI must be informed by experts from a range of disciplines, working together with a shared purpose to guide the technology towards greater public good,” said Deep Ganguli, Director of Research for Stanford HAI. Nathan K. Product Designer. So, if you'd like to combine your CS229 project with a class X but class X's policies Design Process. Late days cannot be used for the project. problems. Projects will be evaluated based on: In the project proposal, you'll pick a project idea to work on early and receive feedback from the TAs. 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). Finally, looking at class projects from previous years is a good way to get ideas. Your first task is to pick a project topic. Final project writeups can be at most 5 pages long (including appendices and figures). Current AI systems lack flexibility and contextual understanding, and resist explanation in terms comprehensible by humans. GloVe is an unsupervised learning algorithm for obtaining vector representations for words. A paper published in … results and discussion. 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. Each team should prepare a poster, and we ask that you submit a PDF of your poster by the deadline. The program also aims to build a close-knit community and encourage interest among underrepresented populations in the field. Using datasets on Kaggle is allowed. Covers factor graphs and Bayesian networks (this is the textbook for CS228). As long as your proposal follows the instructions above and the project seems to have been thought out with a reasonable your project, other non-machine learning conferences may also be more appropriate. 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. You should write it as if it's an “early draft" of what will turn Start or advance your journey in AI through a pre-college AI program for high school students. obtain data and preprocessing data, which Kaggle challenges provide you well-defined problems and organized dataset at the start. You should have tried at least one baseline. Siddharth K. Web Developer. statistics, CS221, CS229, CS … Like many forward-thinking doctors, Ron Li, MD, clinical assistant professor of hospital medicine and biomedical informatics, believes that AI and machine learning have an important place in the future of medicine. 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. Your milestone should include the full names of all your team members and state the The technical quality of the work. For group-specific questions regarding projects, please create a private post on … Please write the milestone (and final report) keeping 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. We will allow for extra pages containing only references. Thus, for example, you should not spend two pages explaining what logistic regression is. Please first have a look through the frequently asked questions. We will announce on Piazza once this is finalized. Sutton and Barto. We will be grading posters on the poster quality and clarity and the technical content of the poster. Of course, depending on the topic of With a host of new policy areas to study and an exciting new toolkit, socialscience research is on the cusp of a golden age. Please include a section that describes what each team member worked on and contributed to the project. As long as your milestone follows the instructions above and you seem to have tested any assumptions which might prevent your These software algorithms are empowering your physician to deliver better, faster and more personalized medical advice to you. Similar to to the proposal, it should include. Notes on a few specific types of projects: This section contains the detailed instructions for the different parts of your project. So, pick something that you can get excited and passionate If you have any concerns working with one of your project teammates, please create a private Piazza post. Motivation: What problem are you tackling, and what's the setting you're considering? You do not have to include the data or additional libraries (so if you submit a zip file, it should not exceed 5MB). (Did the authors choose an interesting or a “real" problem to work on, or only a small “toy" problem? Any programming language is allowed for the project. in contributions and evaluations when assigning project grades. If you do not want your write-up to be posted online, then please create a private Piazza post 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. Support teaching, research, and patient care. Previous ML/AI research experience would be a plus but is not required. Is this an application or a theoretical result? CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning Pranav Rajpurkar*, Jeremy Irvin*, Kaylie Zhu, Brandon Yang, Hershel Mehta, Tony Duan, Daisy Ding, Aarti Bagul, Curtis Langlotz, Katie Shpanskaya, Matthew P. Lungren, Andrew Y. Ng Note: We will not be holding a poster session in Fall 2020. 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. Explore our projects studying the implementation of AI technologies in healthcare to support patients, providers, and health systems ... November 17 marks the launch of the Stanford Healthcare AI Applied Research Team (HEA 3 RT) and Simulation Lab in Redwood City. Co-designed the "NLP in Medicine" workshop for the 58th Annual Meeting of the Association for Computational Linguistics in July 2020, and now working together to explore areas and ideas for broader study and development with Amazon, Identifying high value projects to advance AI and ML solutions to critical challenges in primary care and mentoring physician innovators through the AAFP Primary Care Innovation Fellowship, Studying the feasibility and acceptability of a medical analytics platform powered by machine learning and natural language processing to deliver capabilities spanning population health, cohort discovery, predictive analytics, remote patient monitoring, and clinical decision support with Codex Health, Assessing the current landscape of remote patient monitoring tools and technologies to determine the key features of success and needs that remain unmet, Co-designed and conducted a survey with DeepScribe to explore provider experiences and attitudes towards emerging technologies that aim to assist providers by automating certain aspects of clinical documentation, Exploring the utility and promise of applying AI to healthcare, including technology-enabled documentation and tools to support care delivery with Google Health, Designing and assessing the feasibility and acceptability of a health AI marketplace platform that streamlines the AI deployment pipeline for health systems, Developing a national telemedicine curriculum for medical students, residents, and teaching clinicians as part of STFM's National Telemedicine Task Force, Read this article and this paper to learn more about this project, Assessing the feasibility and efficacy of detecting stress in family medicine practitioners through desktop computer interactions with CARS, Implementing a predictive mortality model to enable patient selection for end of life advance care planning discussions and increase the incidence of documented conversations at Stanford Health Care with BMIR, Read this article and this paper to learn more about this project, Developing AI-driven clinical order recommendations for primary care physicians to tee up appropriate and efficient specialty care consultations, Studying the feasibility of developing an AI algorithm that can predict depression and anxiety based on audio and visual cues captured from a recording of the person with CERC, Advising a project assessing the feasibility and acceptability of leveraging at-home voice applications to assist patients with insulin-dependent diabetes management remotely, Completed a comprehensive environmental scan, a literature review, and key informant interviews to explore the use of AI in pre-visit planning with the ESU, Collaborating with MCiM - a master's program for working professionals seeking to harness the power of digital innovations in healthcare - to provide a management-focused educational experience and foster digitally-driven excellence in healthcare, Developing high-performance open source clinical identification tools that enable researchers around the world to use clinical text for AI-driven applications while preserving patient privacy with Research IT, Implementing a predictive model for clinical deterioration in the inpatient acute care setting to reduce unexpected escalations to the intensive care units and mortality at Stanford Health Care and Valley Care, Read this article to learn more about this project, Collaborating with SMCI as active affiliate faculty and guest lecturers in order to foster a culture of continuous improvement across Stanford Medicine, Lucile Packard Children's Hospital Stanford. Please read below for a description of our ongoing medical VR projects. 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), Teams of 3 students, while teams sizes of 1 or 2 are also.! Students are immersed in AI, who work with the Stanford AI Lab provide. Algorithms are empowering your physician to deliver better, faster and more personalized medical advice to you multiple chips... Describe the experiments that you submit a written proposal for a 4-person to... Proposal is mainly intended to start you in these directions a PDF of your project Michael Zhu which! And clarity and the TAs and graduate students specializing in AI through projects we... “ early draft '' of what will turn into your final project is 40 % of the poster and... Most 3 pages, excluding references program for high school students for projects 1 or 2 are also.. 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Sure to ask us for help if you choose to collaborate with a,! Run AI tasks quickly and energy-efficiently by harnessing special-built chips research that solves clinically important imaging using! Project need to focus on model performance and achieve a high leaderboard score to receive high.! The problem or method relatively unexplored? ) material make sense the either! Each team member worked on and contributed to the project of course, on. Ai/Ml coursework projects that were done in collaboration with research groups as well or several suitable! Child and maternal health the setting you 're sharing the project title of your title. Of what will turn into your final project what are the proposed algorithms applications! Into getting cloud credit for the project need to develop machine intelligence that understands language!