JC L. App Developer. Covers factor graphs and Bayesian networks (this is the textbook for CS228). Any programming language is allowed for the project. 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. ), The novelty of the work. 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. A comprehensive reference for all the AI topics that we will cover. Please include a section that describes what each team member worked on and contributed to the project. In a three-person team this can be shared much better, That said, you can always consult a TA you are unsure about any method or problem statement. For shared projects, we also require that you submit the final report from the If you do not do this, you can submit a regrade request and we will fix it, but we will also deduct 1 point. Read and view relevant articles and presentations stemming from our collaborations using the button below. However, the project need to focus on model performance and achieve a high leaderboard score to receive high grades. Method: What machine learning techniques are you planning to apply or improve upon? 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. team from completing the project, you should do well on the milestone. We will post more details about each each on the website and on Piazza. 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. … Your milestone should be at most 3 pages, excluding references. Learn from Stanford alumni and graduate students specializing in AI, who work with students in small groups. problems. We don't mind you using a dataset that is not public, as long as you have the required permissions to use it. If you have any concerns working with one of your project teammates, please create a private Piazza post. statistics, CS221, CS229, CS … The term project is 40% of the final grade. You can find papers from the recent ICML https://icml.cc/Conferences/2019/Schedule and NeurIPS conference https://neurips.cc/Conferences/2019/Schedule. Your milestone should include the full names of all your team members and state the Also check out Google Colab for free GPU resources. 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. Support Lucile Packard Children's Hospital Stanford and child and maternal health. Preliminary experiments: Describe the experiments that you've run, the outcomes, and any error analysis that you've done. 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. Previous ML/AI research experience would be a plus but is not required. This is just a recommendation; feel free to speak with other TAs as well. 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 team can have both on-campus and SCPD students. The project proposal is mainly intended to make sure you decide on a project topic and get feedback from TAs early. The technical quality of the work. Do the authors convey novel insight about the problem Please write the milestone (and final report) keeping Submission: We’ll be using Gradescope for submission of all four parts of the final project. Another important aspect of designing your project is to identify one or several datasets suitable for your topic of interest. Thus, for example, you should not spend two pages explaining what logistic regression is. Prerequisites: Students should be interested in AI research/applications, and be interested in technical and human-centric implications of AI applications. into your final project. your project, other non-machine learning conferences may also be more appropriate. 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. Finally, looking at class projects from previous years is a good way to get ideas. Next steps: Given your preliminary results, what are the next steps that you're considering? If that data needs considerable pre-processing  to suit your task, or that you intend to collect the needed Ultimately we need to develop machine intelligence that understands human language, emotions, intentions, behaviors, and interactions at multiple scales. Is this work likely to be useful and/or have impact? If you did this work in collaboration with someone else, or if someone else (such as another 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. Are the things tried reasonable? You should have tried at least one baseline. Human-Centered AI. results and discussion. Projects & innovations. Russell and Norvig. This course will introduce you to mixed signal design and the electronic design automation (EDA) tools used for it. (Did the authors choose an interesting or a “real" problem to work on, or only a small “toy" problem? Environmental Education. Siddharth K. Web Developer. 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. read more. Your first task is to pick a project topic. This is to make sure team members are carrying a fair share of the work for projects. Clearly indicate in your milestone and final report, which part of the project is done for CS229 and which part is done for a class other than CS229. A very good CS229 project will be a publishable or nearly-publishable piece of work. About. Here is a short list of these projects. Is this an application or a theoretical result? 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. Below is a list of our ongoing collaborations with both internal and external organizations working on healthcare AI implementations. “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. Be brave rather than timid, and do feel free to propose ambitious things that you're excited about. During this three-week online program, students are immersed in AI through a combination of lectures, hands-on research projects, and mentoring activities. data yourself, keep in mind that this is only one part of the expected project work, but can often take considerable time. Using datasets on Kaggle is allowed. Support teaching, research, and patient care. 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. 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. you might also look at some recent machine learning research papers. The Green Button project If you have any concerns working with one of full title of your project. 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. We work with the Stanford AI Lab to provide students a hands-on experience with real, significant research projects. In the proposal, below your project title, include the project category. A paper published in … Stanford AI Lab. class you're sharing the project with. GloVe is an unsupervised learning algorithm for obtaining vector representations for words. Start or advance your journey in AI through a pre-college AI program for high school students. 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. Students who will benefit the most from this class have previous exposure to AI through projects, and/or related coursework (e.g. Two of the main machine learning conferences are ICML and NIPS. 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), about! 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. (Just be sure to ask us for help if you're uncertain how to best get started.) Late days cannot be used for the project. We still expect a solid methodology and discussion of results, so pace your project accordingly. We know that most students work very hard on the final Nathan K. Product Designer. don't allow for it, you cannot do it. more than a one-person team would. 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. Each year, some number of students continue working on their projects after completing CS229, submitting their work to a conferences or journals. Since its birth in 1956, the AI dream has been to build systems that exhibit broad-spectrum competence and intelligence. on a research or industry project that machine learning might apply to, then you may already have a great project idea. We conduct research that solves clinically important imaging problems using machine learning and other AI techniques. This is because a significant amount of work is needed to formulate the problem, Sutton and Barto. Current AI systems lack flexibility and contextual understanding, and resist explanation in terms comprehensible by humans. You should submit on Gradescope as a group: that 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. 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). We recommend teams of 3 students, while teams sizes of 1 or 2 are also acceptable. We will allow for extra pages containing only references. Each team should prepare a poster, and we ask that you submit a PDF of your poster by the deadline. Reinforcement Learning: An … in mind that the intended audience are the instructors and the TAs. Note: We will expect your final writeup to be on the same topic as your milestone. Stanford AI4ALL aims to increase diversity in the field of Artificial Intelligence. After the class, we will also post all the final writeups online so that you can read about each other's work. More about us. The final project is intended to start you in these directions. allowing the team to focus a lot more on the interesting stuff, e.g. As long as your proposal follows the instructions above and the project seems to have been thought out with a reasonable By helping patients seek care earlier, artificial conversational agents can help reduce health care costs and improving care. Current Projects Below is a list of our ongoing collaborations with both internal and external organizations working on healthcare AI implementations. You cannot turn in an identical project for both classes, but you can share common infrastructure/code base/datasets across the two classes. 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 … As long as your milestone follows the instructions above and you seem to have tested any assumptions which might prevent your The program also aims to build a close-knit community and encourage interest among underrepresented populations in the field. You do not have to include the data or additional libraries (so if you submit a zip file, it should not exceed 5MB). Similar to to the proposal, it should include. 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 Clinical researchers at Stanford Medicine are now using AI technologies to help you with another kind of relationship, the one with your doctor. Motivation: What problem are you tackling? 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. Design Process. Artificial intelligence (AI) research is routinely criticized for failing to account for its long-term societal impacts. With a host of new policy areas to study and an exciting new toolkit, socialscience research is on the cusp of a golden age. 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. In particular, we expect the team to submit a completed project (even for team of 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 are looking into getting cloud credit for the projects. You should write it as if it's an “early draft" of what will turn The Stanford Data Science Initiative aims to make Stanford a data enabled university. Collaborate with a mentor on a socially impactful AI project and receive guidance on pursuing AI … How do you plan to evaluate your machine learning algorithm? Intended experiments: What experiments are you planning to run? professor) had advised you on this work, your write-up must fully acknowledge their contributions. (Is this project applying a common technique to a well-studied problem, or is the problem or method relatively unexplored?). 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. We will announce on Piazza once this is finalized. This is the third year HAI has distributed seed grants across the university to fund new, ambitious, and speculative ideas with the at least a week in advance of the final submission deadline. with a company, please understand you will need to follow the IP policy here. Of course, depending on the topic of 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. In exceptional cases, we can allow a team of 4 people. 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. 559 Nathan Abbott Way Stanford Law School Stanford, CA 94305 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. No, the final report will be submitted via Gradescope. 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. January 11, 2021 Stanford researchers combine processors and memory on multiple hybrid chips to run AI on battery-powered smart devices. (I.e., Does the technical material make sense? 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. So, pick something that you can get excited and passionate We will be grading posters on the poster quality and clarity and the technical content of the poster. 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. 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). 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. Probabilistic Graphical Models. For group-specific questions regarding projects, please create a private post on … 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. Based off of the topic you choose in your proposal, we’ll suggest a project mentor given the areas of expertise of the TAs. A private repository is recommended (and free with GitHub's Education Pack), but a public repository is also okay. and/or algorithms? Needfinding. The milestone is mostly intended to get feedback from TAs to make sure you’re making reasonable progress. These software algorithms are empowering your physician to deliver better, faster and more personalized medical advice to you. Notes on a few specific types of projects: This section contains the detailed instructions for the different parts of your project. 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. 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. Artificial Intelligence: A Modern Approach. We don't require you to share the dataset either as long as you can accurately describe it in the Final Report. We may reach out and factor If you choose to collaborate 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. Alternatively, if you're already working Final project writeups can be at most 5 pages long (including appendices and figures).

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