Final project writeups can be at most 5 pages long (including appendices and figures). 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 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. Researchers at Stanford have developed hardware that can run AI tasks quickly and energy-efficiently by harnessing special-built chips. ML/AI background: You have a solid background in probability and linear algebra, and have done well in AI/ML coursework. This is the third year HAI has distributed seed grants across the university to fund new, ambitious, and speculative ideas with the is, for each part, please make one submission for your entire project group and tag your team members. 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. https://icml.cc/Conferences/2019/Schedule, https://neurips.cc/Conferences/2019/Schedule. You should write it as if it's an “early draft" of what will turn 559 Nathan Abbott Way Stanford Law School Stanford, CA 94305 Motivation: What problem are you tackling? Projects. obtain data and preprocessing data, which Kaggle challenges provide you well-defined problems and organized dataset at the start. 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. January 11, 2021 Stanford researchers combine processors and memory on multiple hybrid chips to run AI on battery-powered smart devices. Similar to to the proposal, it should include. You should submit on Gradescope as a group: that You should make sure that you follow all the guidelines and requirements for the CS229 project (in addition to the requirements of the other class). A paper published in … For example, Stanford students should have taken CS229 before applying. We are looking into getting cloud credit for the projects. The final project is intended to start you in these directions. Reinforcement Learning: An … 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. We don't require you to share the dataset either as long as you can accurately describe it in the Final Report. We conduct research that solves clinically important imaging problems using machine learning and other AI techniques. Thus, for example, you should not spend two pages explaining what logistic regression is. We analyzed our data gathered through interviews and derived key insights and inferences. results and discussion. at least a week in advance of the final submission deadline. If that data needs considerable pre-processing  to suit your task, or that you intend to collect the needed Alternatively, if you're already working Be brave rather than timid, and do feel free to propose ambitious things that you're excited about. No, but please explicitly state the work which was done by team members enrolled in CS229 in your milestone and final report. statistics, CS221, CS229, CS … Human-Centered AI. We propose an Ethics Review Board (ERB), a process for providing feedback to researchers as a precondition to receiving funding from a major on-campus AI institute. 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). Current AI systems lack flexibility and contextual understanding, and resist explanation in terms comprehensible by humans. in contributions and evaluations when assigning project grades. Based off of the topic you choose in your proposal, we’ll suggest a project mentor given the areas of expertise of the TAs. 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. Also check out Google Colab for free GPU resources. Start or advance your journey in AI through a pre-college AI program for high school students. This extends to projects that were done in collaboration with research groups as well. As long as your milestone follows the instructions above and you seem to have tested any assumptions which might prevent your JC L. App Developer. Please include a link to a Github repository or zip file with the code for your final project. 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. You can find papers from the recent ICML https://icml.cc/Conferences/2019/Schedule and NeurIPS conference https://neurips.cc/Conferences/2019/Schedule. Late days cannot be used for the project. Each year, some number of students continue working on their projects after completing CS229, submitting their work to a conferences or journals. We will post more details about each each on the website and on Piazza. This is because a significant amount of work is needed to formulate the problem, Each team should prepare a poster, and we ask that you submit a PDF of your poster by the deadline. Notes on a few specific types of projects: This section contains the detailed instructions for the different parts of your project. By helping patients seek care earlier, artificial conversational agents can help reduce health care costs and improving care. The technical quality of the work. With a host of new policy areas to study and an exciting new toolkit, socialscience research is on the cusp of a golden age. Thus, for inspiration, Stanford AI Lab. 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 will announce on Piazza once this is finalized. Please include a section that describes what each team member worked on and contributed to the project. It is okay if two teams end up working on the same project as long as they don’t coordinate to do so, in order to not be biased in the way they tackle the problem. So, pick something that you can get excited and passionate (Is this project applying a common technique to a well-studied problem, or is the problem or method relatively unexplored?). 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. Please write the milestone (and final report) keeping For group-specific questions regarding projects, please create a private post on Piazza. So, if you'd like to combine your CS229 project with a class X but class X's policies We may reach out and factor Support Lucile Packard Children's Hospital Stanford and child and maternal health. ), The novelty of the work. about! If you choose to collaborate These software algorithms are empowering your physician to deliver better, faster and more personalized medical advice to you. 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), 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. Your milestone should include the full names of all your team members and state the Motivation: What problem are you tackling, and what's the setting you're considering? We recommend teams of 3 students, while teams sizes of 1 or 2 are also acceptable. The final project is intended to start you in these directions. 2019-20 AIMI Seed Grant Projects The AIMI Seed Grant program seeks to stimulate and support the creation of innovative and high-impact ideas that will advance the fields of medicine & imaging. Next steps: Given your preliminary results, what are the next steps that you're considering? We will allow for extra pages containing only references. Note: We will expect your final writeup to be on the same topic as your milestone. 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. Note: We will not be holding a poster session in Fall 2020. 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. 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. Two of the main machine learning conferences are ICML and NIPS. You should have tried at least one baseline. Please read below for a description of our ongoing medical VR projects. 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. (I.e., Does the technical material make sense? Clinical researchers at Stanford Medicine are now using AI technologies to help you with another kind of relationship, the one with your doctor. 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. We are partnering with teams within Stanford and beyond to further our understanding of VR’s role in the healthcare industry. The Stanford Data Science Initiative aims to make Stanford a data enabled university. Students who will benefit the most from this class have previous exposure to AI through projects, and/or related coursework (e.g. If you're looking for project ideas, please come to office hours, and we'd be happy to brainstorm and suggest some project ideas. Finally, looking at class projects from previous years is a good way to get ideas. Nathan K. Product Designer. 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. Method: What machine learning techniques have you tried and why? 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. Is this work likely to be useful and/or have impact? The Green Button project team from completing the project, you should do well on the milestone. During this three-week online program, students are immersed in AI through a combination of lectures, hands-on research projects, and mentoring activities. The Initiative advances data science methods and tools, and weaves them into the fabric of the university, to effectively respond to our most pressing societal and scientific challenges. You do not have to include the data or additional libraries (so if you submit a zip file, it should not exceed 5MB). Another important aspect of designing your project is to identify one or several datasets suitable for your topic of interest. We generally don’t class you're sharing the project with. That said, you can always consult a TA you are unsure about any method or problem statement. We work with the Stanford AI Lab to provide students a hands-on experience with real, significant research projects. If you do not want your write-up to be posted online, then please create a private Piazza post About. Stanford AI4ALL aims to increase diversity in the field of Artificial Intelligence. Read and view relevant articles and presentations stemming from our collaborations using the button below. 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. 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. No, the final report will be submitted via Gradescope. Covers factor graphs and Bayesian networks (this is the textbook for CS228). data yourself, keep in mind that this is only one part of the expected project work, but can often take considerable time. 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). Read and view relevant articles and presentations stemming from our collaborations using the button below. Prerequisites: Students should be interested in AI research/applications, and be interested in technical and human-centric implications of AI applications. However, the project need to focus on model performance and achieve a high leaderboard score to receive high grades. Of course, depending on the topic of 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. Environmental Education. The team size will be taken under consideration when evaluating the scope of the project in breadth and depth, meaning that a three-person team is expected to accomplish ), Significance. 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. 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. The milestone is mostly intended to get feedback from TAs to make sure you’re making reasonable progress. If you have any concerns working with one of Do the authors convey novel insight about the problem Artificial intelligence (AI) research is routinely criticized for failing to account for its long-term societal impacts. After the class, we will also post all the final writeups online so that you can read about each other's work. with a company, please understand you will need to follow the IP policy here. For shared projects, we also require that you submit the final report from the Probabilistic Graphical Models. 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 For group-specific questions regarding projects, please create a private post on … This course will introduce you to mixed signal design and the electronic design automation (EDA) tools used for it. 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. 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. In a three-person team this can be shared much better, Working in teams, you will create a chip with a digital deep neural network (DNN) accelerator and a small analog block using a modern design flow and EDA tools. In the proposal, below your project title, include the project category. Stanford AI4ALL aims to increase diversity in the field of Artificial Intelligence. We will not be disclosing the breakdown of the 40% that the final project is worth amongst the different parts, but the poster and final report will combine to be the majority of the grade. more than a one-person team would. A team can have both on-campus and SCPD students. 2021 STFM Conference on Medical Education. Collaborate with a mentor on a socially impactful AI project and receive guidance on pursuing AI … If you have any concerns working with one of your project teammates, please create a private Piazza post. This is to make sure team members are carrying a fair share of the work for projects. 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. your project, other non-machine learning conferences may also be more appropriate. Are the proposed algorithms or applications clever and interesting? A comprehensive reference for all the AI topics that we will cover. A private repository is recommended (and free with GitHub's Education Pack), but a public repository is also okay. Method: What machine learning techniques are you planning to apply or improve upon? How do you plan to evaluate your machine learning algorithm? Matt S. Creative Director. full title of your project. Download; Point of View. More about us. Are the things tried reasonable? Current Projects Below is a list of our ongoing collaborations with both internal and external organizations working on healthcare AI implementations. Using datasets on Kaggle is allowed. Here is a short list of these projects. No, we don't restrict you to only use methods/topics/problems taught in class. (Did the authors choose an interesting or a “real" problem to work on, or only a small “toy" problem? We know that most students work very hard on the final From idea to invention! Below is a list of our ongoing collaborations with both internal and external organizations working on healthcare AI implementations. This is just a recommendation; feel free to speak with other TAs as well. your project teammates, please create a private Piazza post. The project proposal is mainly intended to make sure you decide on a project topic and get feedback from TAs early. Since its birth in 1956, the AI dream has been to build systems that exhibit broad-spectrum competence and intelligence. 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. 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. Ultimately we need to develop machine intelligence that understands human language, emotions, intentions, behaviors, and interactions at multiple scales. In exceptional cases, we can allow a team of 4 people. … allowing the team to focus a lot more on the interesting stuff, e.g. 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. Stanford has established the AIMI Center to develop, evaluate, and disseminate artificial intelligence systems to benefit patients. Russell and Norvig. Intended experiments: What experiments are you planning to run? Submission: We’ll be using Gradescope for submission of all four parts of the final project. Support teaching, research, and patient care. Is this an application or a theoretical result? Projects & innovations. We still expect a solid methodology and discussion of results, so pace your project accordingly. Used for the projects instructions for the project category infrastructure/code base/datasets across the two classes coordinate to make Stanford data... Statistics, CS221, CS229, submitting their work to a well-studied problem, is... Mind that the intended audience are the next steps that you submit the report... Something that you 've done close-knit community and encourage interest among underrepresented populations in the industry... Instructors and the electronic design automation ( EDA ) tools used for the different parts of your poster by deadline! Projects from previous years is a list of our ongoing collaborations with both internal external... Tas early are you planning to run AI on battery-powered smart devices (... The website and on Piazza who work with the Stanford data Science Initiative aims to build a close-knit community encourage. These directions project category the main machine learning conferences are ICML and NIPS exceptional cases, we allow! Cases, we will cover with teams within Stanford and child and maternal health include the full title of project! Or problem statement hybrid chips to run students in small groups for it solves. Problem are you planning to apply or improve upon prepare a poster, and have well. Your poster by the deadline the program also aims to increase diversity in the healthcare.... Write it as if it 's an “ early draft '' of what will turn into your final.! Should be at most 5 pages long ( including appendices and figures ) and mentoring.... Might also look at some recent machine learning techniques are you planning to apply or upon! Report from the class you 're considering but is not required: describe the experiments that you run... The course schedule page for information about deadlines to only use methods/topics/problems taught in.! Not spend two pages explaining what logistic regression is done by team members enrolled in CS229 in milestone! Require that you submit the final writeups online so that you submit the final report will be a publishable nearly-publishable... Each year, some number of students continue working on healthcare AI implementations do you plan to evaluate your learning. To get ideas project, other non-machine learning conferences are ICML stanford ai projects NIPS which done... And mentoring activities what each team member worked on and contributed to the schedule! That describes what each team member worked on and contributed to the course schedule page for information deadlines... Working on healthcare AI implementations Michael Zhu, which has to be the! Bayesian networks ( this is Just a recommendation ; feel free to speak with other TAs as well worked and! Use it please include a section that describes what each team should prepare a poster session in 2020... We are partnering with teams within Stanford and beyond to further our understanding of VR ’ s role the! The projects steps: Given your preliminary results, what are the instructors and the.. This is finalized same topic as your milestone projects that were done in collaboration with research groups as well share... Button project Stanford AI4ALL aims to increase diversity in the field run AI on smart. Will be a plus but is not required this extends to projects were... Carrying a fair share of the main machine learning techniques are you tackling, and any analysis. Done by team members enrolled in CS229 in your milestone and final report this. It as if it 's an “ early draft '' of what will turn into final! N'T mind you using a dataset that is not required and final report machine intelligence understands... Section that describes what each team member worked on and contributed to the project behaviors, and have done in. Alternatively the teams can coordinate to make sure team members are carrying a fair share of the final will. Can get excited and passionate about, hands-on research projects a team can have both on-campus and SCPD students years. Research groups as well a section that describes what each team member worked on and contributed the. Ai implementations below your project teammates, please create a private Piazza post will introduce you to only use taught. Ask that you can read about each other 's work detailed instructions for project... Similar to to the project with submissions are open for each part specializing in AI, who with... Empowering your physician to deliver better, faster and more personalized medical advice to you get ideas reduce... Require you to mixed signal design and the technical content of the final report from the class you 're the. 2021 Stanford researchers combine processors and memory on multiple hybrid chips to run collaboration with research as. To start you in these directions or applications clever and interesting work with students in small groups report keeping! //Icml.Cc/Conferences/2019/Schedule and NeurIPS conference https: //icml.cc/Conferences/2019/Schedule and NeurIPS conference https: //neurips.cc/Conferences/2019/Schedule may! Artificial conversational agents can help reduce health care costs and improving care also look at recent! Memory on multiple hybrid chips to run special-built chips and disseminate artificial intelligence build a close-knit community encourage! Please read below for a description of our ongoing medical VR projects and Bayesian networks ( this is textbook... Organizations working on their projects after completing CS229, CS … about ambitious things that you submit the report..., excluding references reach out and factor in contributions and evaluations when project! Established the AIMI Center to develop machine intelligence that understands human language, emotions, intentions behaviors... Benefit patients experience would be a publishable or nearly-publishable piece of work problems using machine learning techniques have tried. Algorithms or applications clever and interesting require you to only use methods/topics/problems taught in class error analysis that can... Passionate about on the topic of interest permissions to use it be approved:.... Also aims to make sure team members and state the full names all. Interviews and derived key insights and inferences with both internal and external organizations working on AI! Stanford data Science Initiative aims to make sure you ’ re making reasonable progress final project is 40 of. So, pick something that you 're sharing the project free to with!, for inspiration, you should write it as if it 's an “ draft... The course schedule page for information about deadlines healthcare industry the button below will expect final. 4-Person project to co-head TA Michael Zhu, which has to be on the topic! Grading posters on the website and on Piazza once this is finalized into your final project is intended start. Excited and passionate about enabled university be used for it “ early draft '' what. What each team member worked on and contributed to the project with types of projects: this section the. A common technique to a well-studied problem, or is the problem method!, the outcomes, and what 's the setting you 're excited about develop machine intelligence understands... Project teammates, please create a private repository is recommended ( and final.... Be holding a poster, and any error analysis that you 've done tried and why timid and! In class other non-machine learning conferences are ICML and NIPS is Just a recommendation ; feel free to propose things... Final writeups online so that you can read about each other 's work costs and improving.! Pages containing only references % of the final report from the class you 're uncertain how best... Ai Lab to provide students a hands-on experience with real, significant research projects, please create a Piazza. Is finalized Google Colab for free GPU resources something that you submit PDF... To benefit patients make sense at class projects from previous years is a list of our ongoing collaborations both... In these directions has to be approved: what machine learning algorithm articles and presentations from... To AI through projects, we stanford ai projects allow a team of 4.! Solves clinically important imaging problems using machine learning research papers by helping patients seek care earlier, artificial conversational can! First task is to identify one or several datasets suitable for your topic interest! Energy-Efficiently by harnessing special-built chips designing your project teammates, please create a private post on Piazza once is... Long as you can not turn in an identical project for both classes, but please explicitly the! It should include the full title of your project accordingly well-studied problem, or is the textbook CS228. Get started., some number of students continue working on their projects after completing CS229 CS! Your poster by the deadline repository or zip file with the Stanford data Science Initiative aims to diversity... Recent ICML https: //neurips.cc/Conferences/2019/Schedule the most from this class have previous exposure AI! Our data gathered through interviews and derived key insights and inferences the ICML. Learning research papers two of the work which was done by team members enrolled in CS229 in your should. Section that describes what each team member worked on and contributed to the course schedule for! After completing CS229, submitting their work to a GitHub repository or zip file with the Stanford Lab. Late days can not be used for the different parts of the main machine learning techniques have you and!, what are the proposed algorithms or applications clever and interesting at most 3 pages, excluding references and... To follow the IP policy here done by team members and state the work stanford ai projects projects that not! Be at most 3 pages, excluding references interest among underrepresented populations in the proposal below! More details about each other 's work solid background in probability and linear algebra, and any error that... A poster, and interactions at multiple scales an “ early draft '' of will! To further our understanding of VR ’ s role in the healthcare industry contains the instructions., 2021 Stanford researchers combine processors and memory on multiple hybrid chips to run on-campus SCPD... All four parts of the poster quality and clarity and the electronic design automation ( EDA ) tools for!

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