From chiragn at cs.cmu.edu Wed Jun 2 04:44:08 2021 From: chiragn at cs.cmu.edu (Chirag Nagpal) Date: Wed, 2 Jun 2021 14:14:08 +0530 Subject: lov* machines Message-ID: Hello all All the lov machines are running at 100% capacity leaving no CPU compute available to anyone else. *Please stop your jobs if you are using compute that is beyond reasonable. * PS. I have the list of usual suspects (you know who you are.) and I really don't want to bother Predrag or one of the PIs with this complaint. Thanks for understanding Chirag -- *Chirag Nagpal* PhD Student, Auton Lab School of Computer Science Carnegie Mellon University cs.cmu.edu/~chiragn -------------- next part -------------- An HTML attachment was scrubbed... URL: From ngisolfi at cs.cmu.edu Thu Jun 3 11:40:39 2021 From: ngisolfi at cs.cmu.edu (Nick Gisolfi) Date: Thu, 3 Jun 2021 11:40:39 -0400 Subject: [Lunch] Today @noon over zoom Message-ID: <4F59890C-985A-4B83-AA5C-643B4393E188@cs.cmu.edu> https://cmu.zoom.us/j/95972096730?pwd=ZG1Vb0JnSEJ4Y0FPYUk0NGkrdHFHQT09 We hope to see you there! - Nick -------------- next part -------------- An HTML attachment was scrubbed... URL: From awd at cs.cmu.edu Thu Jun 3 13:03:10 2021 From: awd at cs.cmu.edu (Artur Dubrawski) Date: Thu, 3 Jun 2021 13:03:10 -0400 Subject: Fwd: ML/Duolingo Seminar - David Sontag - June 8, 2021 @ 10:30am In-Reply-To: References: Message-ID: May be quite relevant to many of us. Artur ---------- Forwarded message --------- From: Sharon Cavlovich Date: Thu, Jun 3, 2021 at 12:33 PM Subject: ML/Duolingo Seminar - David Sontag - June 8, 2021 @ 10:30am To: , Will Monroe , Zachary Lipton , Andrej Risteski , David Sontag Please join us for a ML/Duolingo Seminar! June 8, 2021 10:30am EDT Zoom Link Meeting ID: 971 0201 7174 Passcode: 814851 [image: david_headshot.jpeg] Speaker: David Sontag , MIT Title: Learning Deep Markov Models for Precision Medicine Abstract: I present a new approach to learning from temporal data, coupling deep learning with probabilistic inference. Applied to learning disease progression models from clinical data, our algorithms learn rich representations that are capable of answering counterfactual questions such as which treatment is most appropriate to which patient, providing a new theoretical framework for precision medicine. Making valid causal inferences from observational data requires a number of assumptions to be satisfied. I show how machine learning can be used to test and explain one of these (overlap) and how machine learning can help circumvent another (hidden confounding). Along the way, I'll make connections to recent work on domain adaptation and dataset shift. Finally, I discuss my vision for the future, where these methods are scalably used to guide millions of patients' health care. Doing so will require policy and legislative changes to improve health data collection and curation, new algorithms for extracting treatment and outcomes from clinical text, and advances in human-computer interaction to safely and effectively explain algorithm predictions to patients and providers. Bio: David Sontag is an Associate Professor in the Department of Electrical Engineering and Computer Science (EECS) at MIT, and member of the Institute for Medical Engineering and Science (IMES) and the Computer Science and Artificial Intelligence Laboratory (CSAIL). Prior to joining MIT, Dr. Sontag was an Assistant Professor in Computer Science and Data Science at New York University from 2011 to 2016, and a postdoctoral researcher at Microsoft Research New England. Dr. Sontag received the Sprowls award for outstanding doctoral thesis in Computer Science at MIT in 2010, best paper awards at the conferences Empirical Methods in Natural Language Processing (EMNLP), Uncertainty in Artificial Intelligence (UAI), and Neural Information Processing Systems (NeurIPS), faculty awards from Google, Facebook, and Adobe, and a National Science Foundation Early Career Award. Dr. Sontag received a B.A. from the University of California, Berkeley. -- -- Sharon Cavlovich Senior Department Administrative Assistant | Machine Learning Department Carnegie Mellon University 5000 Forbes Avenue | Gates Hillman Complex 8215 Pittsburgh, PA 15213 412.268.5196 (office) | 412.268.3431 (fax) -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: david_headshot.jpeg Type: image/jpeg Size: 90496 bytes Desc: not available URL: From awd at cs.cmu.edu Fri Jun 4 16:49:24 2021 From: awd at cs.cmu.edu (Artur Dubrawski) Date: Fri, 4 Jun 2021 16:49:24 -0400 Subject: Fwd: FW: MACHINE LEARNING in MEDICINE - VIRTUAL SEMINAR - JUNE 9, 2021 - 3PM (EST) ---ZOOM In-Reply-To: References: Message-ID: Can be relevant to those of us who work on medical imaging AI. Cheers Artur ---------- Forwarded message --------- From: Christy Melucci Date: Fri, Jun 4, 2021 at 4:05 PM Subject: FW: MACHINE LEARNING in MEDICINE - VIRTUAL SEMINAR - JUNE 9, 2021 - 3PM (EST) ---ZOOM To: ml-core-faculty at cs.cmu.edu , ml-seminar at cs.cmu.edu Cc: Visweswaran, Shyam , bartgm at pitt.edu , kayhan at pitt.edu , Roni Rosenfeld *From:* Bartolotta, Genine M *Sent:* Friday, June 4, 2021 3:08 PM *Cc:* Batmanghelich, Kayhan ; Visweswaran, Shyam < shv3 at pitt.edu> *Subject:* MACHINE LEARNING in MEDICINE - VIRTUAL SEMINAR - JUNE 9, 2021 - 3PM (EST) ---ZOOM *Machine Learning in Medicine (MLxMed)* *A Virtual Seminar Series in Pittsburgh* *Hosted by the Department of Biomedical Informatics* *Wednesday, June 9, 2021* *3:00 PM ? 4:00 PM Eastern Time University of Pittsburgh, UPMC, and CMU* *MONAI: Open Science for the Challenges of Medical Imaging AI* *Zoom **https://pitt.zoom.us/j/92718271398* *(**details are listed at the end**)* *Stephen R. Aylward, PhD* Senior Director of Strategic Initiatives, Kitware *Abstract: *Open science is an often overlooked yet major contributor to the recent successes of AI in academia and industry. Open science prioritizes reproducible experiments via the sharing of data and algorithms (software). The Medical Open Network for AI (MONAI, *https://monai.io* ) is an open source platform that prioritizes ease-of-use and reproducibility in the research, development, and deployment of deep learning applications for medical imaging. This talk will describe how the practices of open science and the capabilities of MONAI can benefit your medical imaging AI explorations. *About MLxMed Seminar Series* *(**http://ml-in-medicine.org/* *)* Medicine is complex and data-driven while discovery and decision making are increasingly enabled by machine learning. Machine learning has the potential to support, enable and improve medical discovery and clinical decision making in areas such as medical imaging, cancer diagnostics, precision medicine, clinical trials, and electronic health records. This seminar series focuses on new algorithms, real-world deployment, and future trends in machine learning in medicine. It will feature prominent investigators who are developing and applying machine learning to biomedical discovery and in clinical decision support. For more information see MLxMed website. *Zoom Information* *When: June 9, 2021 - 3:00 PM Eastern Time (US and Canada)* *Please click the link below to join the webinar:* *https://pitt.zoom.us/j/92718271398* Or One tap mobile : US: *+12678310333,,92718271398# or 8778535247,,92718271398#* (Toll Free) Or Telephone: Dial(for higher quality, dial a number based on your current location): * US: +1 267 831 0333 or 877 853 5247 (Toll Free) Webinar ID: 927 1827 1398* International numbers available: *https://pitt.zoom.us/u/acWWgqZ40P* Or an H.323/SIP room system: H.323: 162.255.37.11 (US West) 162.255.36.11 (US East) 115.114.131.7 (India Mumbai) 115.114.115.7 (India Hyderabad) 213.19.144.110 (Amsterdam Netherlands) 213.244.140.110 (Germany) 103.122.166.55 (Australia Sydney) 103.122.167.55 (Australia Melbourne) 149.137.40.110 (Singapore) 64.211.144.160 (Brazil) 69.174.57.160 (Canada Toronto) 65.39.152.160 (Canada Vancouver) 207.226.132.110 (Japan Tokyo) 149.137.24.110 (Japan Osaka) * Meeting ID: 927 1827 1398 SIP:* *92718271398 at zoomcrc.com* <92718271398 at zoomcrc.com> *Genine M. Bartolotta* *Department Purchasing,* *Service & Supplier Agreements,* *License & License Renewals* *NMVB Administrative & Event Coordinator* *Manager, Dept. Mailman List Serves* *Administator for:* *IT Support & Ticketing System* *Uma Chandran, PhD, MSIS* *John R. Gilbertson, MD* *Songjian Lu, PhD* *Department of Biomedical Informatics* *University of Pittsburgh, School of Medicine * The Offices at Baum, Fourth Floor 5607 Baum Boulevard Pittsburgh, PA 15206-3701 Phone: (412) 624-5100 Cell Phone: (412) 877-4872 FAX: (412) 648-9118 E-mail: *bartgm at pitt.edu (preferred)* bartolottagm at upmc.edu *This e-mail may contain confidential information of the sending * *organization. Any unauthorized or improper disclosure, copying, * *distribution, or use of the contents of this e-mail and attached * *document(s) is prohibited. The information contained in this * *e-mail and attached document(s)is intended only for the * *personal and confidential use of the recipient(s) named * *in original e-mail and attached document(s).* -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: MACHINE LEARNING in MEDICINE - VIRTUAL SEMINAR - June 9, 2021 - 3 PM (EST).pdf Type: application/pdf Size: 188733 bytes Desc: not available URL: From awd at cs.cmu.edu Fri Jun 4 18:14:52 2021 From: awd at cs.cmu.edu (Artur Dubrawski) Date: Fri, 4 Jun 2021 18:14:52 -0400 Subject: All Autonians and Friends: Please vote in the final stage of the AI XPrize competition! In-Reply-To: References: Message-ID: Friends, The time has finally come for the final showdown of the AI XPrize competition. Our own startup company Marinus Analytics and their product Traffic Jam are among the 3 finalists worldwide. The final decision will be announced on June 23 and it will be determined by a special jury. In the meantime, the public can submit their votes, so obviously we should all show support to Emily Kennedy, Cara Jones and their team, and vote for Marinus! Here is the link to the competitors info page where each team has a short video pitch, and where you can cast your vote: https://www.wired.com/sponsored/story/the-ibm-watson-ai-xprize-is-more-than-a-competition/ Check out the companion article in Wired magazine: https://www.wired.com/sponsored/story/inside-the-dollar5-million-competition-defining-the-future-of-artificial-intelligence/ Cheers, Artur PS Please do not hesitate to share with friends and through your social media channels to help spread the word. ---------- Forwarded message --------- From: Emily Kennedy Date: Fri, May 28, 2021 at 5:26 PM Subject: We are finally pitching for $3M XPrize! l To: Artur Dubrawski Hello Mentors, Friends, & Supporters, The time has finally come! We are the only finalist representing the United States this month as we pitch for the $3 million grand prize in the IBM Watson AI XPRIZE Competition ! It would be an immense help if you could help boost our social posts on Twitter or LinkedIn , and share with your networks as you feel led. There will also be a public voting portion, where you can view our pitch video and vote for us to win the ?People?s Choice Award??link to vote coming soon for that! Thank you all for being a part of this journey with us. Take care, * Emily Kennedy* President, Founder Marinus Analytics +1 (866) 945-2803 LinkedIn | Twitter | Website -------------- next part -------------- An HTML attachment was scrubbed... URL: From awd at cs.cmu.edu Tue Jun 8 08:55:14 2021 From: awd at cs.cmu.edu (Artur Dubrawski) Date: Tue, 8 Jun 2021 08:55:14 -0400 Subject: Fwd: FW: BAMC DOM Grand Rounds - COL Pamplin In-Reply-To: References: Message-ID: This will be of interest to everyone involved in the TRACIR and RoboTRAC projects as well as to whomever is interested in healthcare AI. Artur ---------- Forwarded message --------- From: Poropatich,Ronald Date: Tue, Jun 8, 2021, 8:35 AM Subject: FW: BAMC DOM Grand Rounds - COL Pamplin To: Pinsky, Michael R , Clermont, Gilles , Frank Guyette , Salcido, David D , Artur Dubrawski (awd at cs.cmu.edu) , John Galeotti < jgaleotti at cmu.edu>, Weiss, Lenny , Gleeson, Ann < aig12 at pitt.edu>, Stein, Howard R , Berkow, Jan < BERKOWJ at pitt.edu>, Gary Gilbert Colleagues, You may be interested in this event. COL Pamplin is presenting this Friday (11 Jun) at the BAMC DOM Grand Rounds with a presentation entitled, ?Casualty Care in Resource Limited Environments: the Need for New Paradigms.? There will be a MS Teams virtual option on the flyer and here: Join Microsoft Teams Meeting ron -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: BAMC_Grand_Rounds_Fri 11JUNE2021.docx Type: application/vnd.openxmlformats-officedocument.wordprocessingml.document Size: 47078 bytes Desc: not available URL: From ngisolfi at cs.cmu.edu Thu Jun 10 11:23:50 2021 From: ngisolfi at cs.cmu.edu (Nick Gisolfi) Date: Thu, 10 Jun 2021 11:23:50 -0400 Subject: [Lunch] Today @noon over zoom Message-ID: https://cmu.zoom.us/j/95972096730?pwd=ZG1Vb0JnSEJ4Y0FPYUk0NGkrdHFHQT09 We hope to see you there! - Nick -------------- next part -------------- An HTML attachment was scrubbed... URL: From bariatricdirectory.org at host.bariatricdirectory.org Sat Jun 12 15:11:36 2021 From: bariatricdirectory.org at host.bariatricdirectory.org (Autonlab #id autonlab online) Date: Sat, 12 Jun 2021 15:11:36 -0400 Subject: Notice: =?UTF-8?B?IEluYm94IGRlbGl2ZXJ5IHJlamVjdGVkLg==?= Message-ID: An HTML attachment was scrubbed... URL: From awd at cs.cmu.edu Tue Jun 15 15:49:57 2021 From: awd at cs.cmu.edu (Artur Dubrawski) Date: Tue, 15 Jun 2021 15:49:57 -0400 Subject: Fwd: XPrize final updates In-Reply-To: <84D20729-D223-4176-BB40-B2AE07293631@marinusanalytics.com> References: <84D20729-D223-4176-BB40-B2AE07293631@marinusanalytics.com> Message-ID: Team, See below the link to live streaming of the final XPrize event at which we will learn if Traffic Jam and Marinus Analytics would win the contest. The event is scheduled for 12:30-13:30 Eastern on Wednesday June 23rd. Artur ---------- Forwarded message --------- From: Emily Kennedy Date: Tue, Jun 15, 2021 at 2:45 PM Subject: XPrize updates Hello all, Below is the registration link where everyone (including the general public) can watch the 6/23 event live (it will be live-streamed at the Alloy 26 auditorium as well). You all at the office will NOT be on camera during the live event, so no need to set up a live-cam on your end. They did say they will NOT be telling us the results before the 6/23 event, so we will all find out live. https://wired.brand.live/c/shapingaiforgood Let me know if you have any questions! * Emily Kennedy* President, Founder Marinus Analytics +1 (866) 945-2803 LinkedIn | Twitter | Website -------------- next part -------------- An HTML attachment was scrubbed... URL: From ngisolfi at cs.cmu.edu Thu Jun 17 11:32:34 2021 From: ngisolfi at cs.cmu.edu (Nicholas Gisolfi) Date: Thu, 17 Jun 2021 11:32:34 -0400 Subject: [Lunch] Today @noon over zoom Message-ID: https://cmu.zoom.us/j/95972096730?pwd=ZG1Vb0JnSEJ4Y0FPYUk0NGkrdHFHQT09 We hope to see you there! - Nick -------------- next part -------------- An HTML attachment was scrubbed... URL: From awd at cs.cmu.edu Sat Jun 19 09:11:54 2021 From: awd at cs.cmu.edu (Artur Dubrawski) Date: Sat, 19 Jun 2021 09:11:54 -0400 Subject: Fwd: Reminder to Register: CMU Academic Cloud Lab Informational Webinar In-Reply-To: References: Message-ID: This could be highly relevant particularly for those of us who apply AI to empirical sciences. Artur ---------- Forwarded message --------- From: Carnegie Mellon University Date: Fri, Jun 18, 2021 at 1:04 PM Subject: Reminder to Register: CMU Academic Cloud Lab Informational Webinar To: During this webinar, Dean Rebecca Doerge will provide an overview of how Carnegie Mellon University is creating the world?s first Academic Cloud Lab in Pittsburgh. [image: A Special Invitation] Rebecca Doerge, Glen de Vries Dean of the Mellon College of Science, invites you to join her for an opportunity to learn about an exciting new resource that will soon be available to you. *CMU Academic Cloud Lab Informational Webinar* Thursday, June 24 Noon-1 p.m. ET Zoom Webinar Register Now ------------------------------ During this webinar, Dean Rebecca Doerge will provide an overview of how Carnegie Mellon University is creating the world?s first Academic Cloud Lab in Pittsburgh. Based on the Mellon College of Science alumni-founded Emerald Cloud Lab, this remote-controlled laboratory will be an unparalleled resource to democratize science for our faculty and students. Associate Professor of Chemistry Subha Das, Assistant Professor of Mechanical Engineering Rebecca Taylor and Associate Professor of Computational Biology Christopher Langmead will join Dean Doerge to provide insight on how research and teaching at CMU are taking advantage of the Cloud Lab. ------------------------------ If you are interested in attending this event, you are required to register. A Zoom login link will be sent in a confirmation email. *Register by Wednesday, June 23rd * To help shape the conversation, you are encouraged to pre-submit questions for the faculty hosts. To submit questions, or to ask general questions about the event, email mcascio at cmu.edu . If you require accessibility accommodations for this event, please email Katy Simovski at ksimovsk at andrew.cmu.edu . [image: Carnegie Mellon University] This email was sent by: *Carnegie Mellon University* 5000 Forbes Ave, Pittsburgh, PA, 15213 US Manage Subscriptions -------------- next part -------------- An HTML attachment was scrubbed... URL: From ngisolfi at cs.cmu.edu Thu Jun 24 10:50:08 2021 From: ngisolfi at cs.cmu.edu (Nick Gisolfi) Date: Thu, 24 Jun 2021 10:50:08 -0400 Subject: [Lunch] Today @noon over zoom Message-ID: <8074CF9D-394A-4887-9C46-03630AC3CBD6@cs.cmu.edu> https://cmu.zoom.us/j/95972096730?pwd=ZG1Vb0JnSEJ4Y0FPYUk0NGkrdHFHQT09 We hope to see you there! - Nick -------------- next part -------------- An HTML attachment was scrubbed... URL: