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Computational Science is widely recognized as a critical means to solving many of today’s most challenging problems.  The analysis and knowledge gained from working with the incredible data explosion produced by massive experiments, observations and computer generated models is leading to solutions at an unimagined pace. Data-Intensive discovery (the fourth paradigm of scientific research), and Multi Scale Interdisciplinary  approaches are becoming more prevalent in the way that Science and Engineering is generating...

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Call for Posters for 12/11 Big Data Conference-Deadline 10/31

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Call for Posters for 12/11 Big Data Conference-Deadline 10/31

The 4th annual Big Data Conference has joined with the University's annual data visualization event to host a poster session. Data and Computational Scientists from the south Florida research community are invited to submit abstracts on topics involving Artificial Intelligence/Machine Learning/Deep Learning in any field, Data Science Ethics and Policy, Data Analytics, and Big Data. The posters will be display at combined Big Data | VizUM event on Wednesday, December 11, 2019.  Posters will be displayed from 12:00 to 7:00 PM at the Newman Alumni Center. If you are interested in presenting a poster, please email Michael Mannino, CCS Director of Programs at: mdm313@miami.edu.   Abstract Submission Guidelines No more than 250 words.  Poster max. dimensions:  46" x 70" Topics include: Artificial Intelligence/Machine Learning/Deep Learning in any field Data Science Ethics and Policy Data Analytics, and Big Data. Direct abstracts and any inquiries to Michael Mannino: mdm313@miami.edu.   Submission Deadline: October 31st, 2019   Poster Session Wednesday, December 11, 2019, 12:00 – 7:00 PM   Tentative Conference Agenda 12:00 Registration and Poster Session 2:00 Break | Poster Judging Process 2:30 Keynote Lecture 3:15 PANEL Session “Digital Disruption” 4:30 Break 4:45 VizUM | Jessica Hullman 5:30 VizUM | Alberto Cairo 6:10 Prize for Best Poster | Reception Begins   Location Newman Alumni Center, Multipurpose ABC, 6200 San Amaro Avenue, Coral Gables, FL 33146   |  Directions + free Event Parking information TBA    ...

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Application Deadline for CCS Fellows Program is TODAY! 10/15/2019

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Application Deadline for CCS Fellows Program is TODAY! 10/15/2019

CCS Fellows Program 2019-2020 PLEASE NOTE: The application deadline has been extended to Tuesday, October 15, 2019.    Collaborate, Grow, Stand Out The vision of the CCS Fellows Program is to inspire a new generation of leaders in computational science to cross the traditional boundaries between disciplines, by equipping them with new cross-disciplinary skills and experience. The Program does this by offering mentorship outside the students’ area of expertise.  This is a prestigious designation awarded to selected students. It is offered to two undergraduate students and two graduate students per year. Students from any of UM’s Schools and Colleges may apply. CCS Fellows develop their computational skills and expand their research experience under the guidance of two mentors. Both mentors are faculty members: The first is the student’s research adviser, and the second is identified by the CCS Fellows program and provides the computational research expertise. All Fellows have the opportunity to use CCS’s Advanced Computing facilities for their research, and to work closely with CCS faculty and staff. No stipend is offered, but there is a cash prize at the end. Competitive applicants have some experience in a computational setting, and are able to outline a cross-disciplinary project that they would like to pursue. The project details do not need to be clearly defined at the time of application, however, the disciplines that would come together in the project should be clearly stated.   Application Process, Materials, and Timeline Applicants are required to submit a completed Application Form, accompanied by: a transcript a CV, and in the case of graduate students, a support letter from their academic mentor. Applications for 2019-2020 session are open.  The Steering Committee will meet within one week of the closing of applications to choose the CCS Fellows. The announcement will be emailed to offices of Undergraduate Research, Graduate Office (UM, Med Sch, RSMAS, CoE, CAS), and to student groups at CoE, CAS, Med School, and RSMAS. Media Relations will help publicize it internally (NEWS@TheU, etc.), and via student media. Submit a completed application with all supporting documents via email to ccsengagement@miami.edu.  Click here for Program Guidelines. REMINDER: The deadline for applications has been extended to Tuesday, October 15, 2019.    Selection Criteria Student must have computational skills sufficient to get started on the proposed The proposed project integrates ideas from more than two disciplines, one of which must be new to the student. Graduate students should have a well-formulated, achievable research question that is in line with their academic mentor’s letter of support. Graduate students need a support letter from their academic advisor or PI. Application must be complete, and must be well written, well organized, and thoroughly thought out. Previous research experience is not requisite, but is an advantage. Student must be in good standing with the...

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No CCS Office Hours on Wednesday 10/9 Yom Kippur

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No CCS Office Hours on Wednesday 10/9 Yom Kippur

In observance of Yom Kippur, there will be no CCS Advanced Computing Office Hours on Wednesday 10/9 at the Medical Campus. If you need help, please email hpc@ccs.miami.edu, or call 305-243-4976.  

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TRITON Takes a Bow

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TRITON Takes a Bow

Students and faculty at the  University depend on technology constantly. And for those who deal with large data sets to conduct their research, waiting on computers to process the information is tedious. That’s why the University recently designed and purchased a new supercomputer that can accelerate data analysis and expand the possibilities for digital research. Last night (Thursday 9/19/2019) CCS held a reception to launch "TRITON", a $3.7M machine that is now accessible to students, faculty, and staff. The event was a celebration of collaboration with all those who worked hard to make it possible—from Procurement to UMIT to IBM and CCS technicians—everyone's efforts came together to get the new machine installed and up and running. “At UM, our mission statement is we transform lives and we do that because we attack and we pursue these important problems,” said Jeffrey Duerk, executive vice president for academic affairs and provost. “It’s essentially our ability to attack problems that we couldn’t do without these types of assets like the supercomputer, so when it came to me that the idea of upgrading our facilities after a number of years, this was an easy investment.”     Custom-made for the University with partners, IBM, the new system is now housed at the Equinix Network Access Point ("the NAP") facility in downtown Miami. One of the main benefits of TRITON is it will allow researchers to easily and quickly employ computing strategies like machine learning and artificial intelligence, which took longer to process on UM’s previous systems, said Nicholas Tsinoremas, CCS center director, and Joel Zysman, CCS director of advanced computing. “We want to create the next generation of infrastructure at UM so that faculty, staff, and students are prepared for the onslaught of data collection that’s available — not only for scientific discovery but for all subject areas,” Tsinoremas said. The new system, an AI-ready IBM POWER9 System, is a sibling of one of the most powerful supercomputers in the country, located at the US Department of Energy’s Oak Ridge National Laboratory, Tsinoremas said. IBM staff on hand for the event said Triton will rank among the top five supercomputers among educational institutions.     UM’s first supercomputer—Pegasus I—was unveiled in 2008. In 2013, it was updated to add more processing and storage capacity and renamed Pegasus II. (Picture below: on the left is TRITON, on the right is Pegasus.) “The past were all significant steps [for UM], but this is an exponential next phase in technological capacity,” Tsinoremas said. “It’s a revolution from traditional supercomputer technology.”     Although older supercomputers were simply fast at crunching numbers (their productivity was measured in calculations per second), this supercomputer will process data more efficiently, so that now CCS staff will be able to talk about how many terabytes they can process and analyze per second. For example, instead of researchers having to upload files in batches, they will now be able to log in to a session and interact with the data while it is being processed. “Everything from retrieving data, to processing data, to analyzing it and presenting results is now viewed as a whole,” Zysman said. The new system will also enable more computer vision projects, which analyze images to draw conclusions, such as facial recognition technology. These images are then used...

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SSI Lecture Series presents “Gigabytes for Good” 11/1/2019

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SSI Lecture Series presents “Gigabytes for Good” 11/1/2019

Gigabytes for Good Friday, 11/1/2019, 3-4:30 PM | Otto G. Richter Library 3rd Floor Conference Room, 1300 Memorial Drive, Coral Gables, FL 33146 Can data science promote opportunity, equality, and equity? Hear from three distinguished speakers focused on research that addresses these issues. Please RSVP This event is free and open to the public.  Refreshments will be served.   Nick Petersen Assistant Professor, Sociology, College of Arts & Sciences Nick and his team are working to improved facial-recognition technology by making it more demographically inclusive. Robert Latham Associate Director, School of Law’s Children & Youth Law Clinic Robert utilizes data science to uncover disturbing and promising patterns of use in Florida’s foster care System. Lynn K. Perry Assistant Professor, Psychology, College of Arts & Sciences Lynn uses automated measures of speech in social contact to facilitate the language development of bilingual children with disabilities.   This lecture is part of a series presented by the Center for Computational Science Social Systems Informatics (SSI) group. SSI focuses on understanding of the nature of social interaction using the techniques and methods of data science.  For more information, visit ccs.miami.edu/ssi, email ccs@miami.edu, or call 305.243.4962.   Richter Library Visitor Parking in...

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Next Introduction to TRITON Workshop Offered on 11/7/2019

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Next Introduction to TRITON Workshop Offered on 11/7/2019

  The University of Miami has unleashed Triton to the research community. Using the same AI-optimized architecture as the world’s most powerful supercomputer, Triton is UM’s first GPU-accelerated HPC system, representing a new approach to computational and data science. Built using IBM Power Systems AC922 servers, Triton was designed to maximize data movement between the IBM POWER9 CPU and attached accelerators, enabling students, researchers, and analysts to explore new possibilities. The CCS Advanced Computing team is offering training sessions on TRITON at all three campuses. The training session will include information on how to create a new Triton account, utilize the pre-installed software, and best practices for using the new features on Triton for Deep Learning and Data Science. This is a hands-on session, so please bring a LAPTOP. Register Now Gables Campus session – Thursday, October 10, 2019 REGISTRATION for Gables now closed. This session is full.  (You may email Jacqueline Green jxg350@miami.edu to be put on  a waiting list.) RSMAS Campus Session – Thursday, November 7, 2019, 12:00 to 4:00 PM, in SLAB 103 Medical Campus Session – Friday, December 13, 2019, 12:00 to 4:00 PM Don Soffer Clinical Research Center, Suite 710   PHOTOS by T.J. Lievonen     TRITON in the News . . . South Florida Business Journal "University of Miami installs $3.7M Supercomputer" Inside HPC  "IBM Deploys TRITON AI Supercomputer at University of Miami" HPC Wire "University of Miami Deploys $3.7M IBM Power System for AI,...

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ICDM-TMDM 2019 Workshop 11/8-11 in Beijing

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ICDM-TMDM 2019 Workshop 11/8-11 in Beijing

Translational Multimedia Data Mining for AI-Based Medical Diagnostics - Bridging Digital Intelligence with Clinical Practices (TMDM for short) is a WORKSHOP collocated with ICDM 2019 (November 8 – 11, 2019) in Beijing, China.   Objective Recent developments of health informatics and digital medical diagnostics have accumulated a large amount of multimedia data. Typical examples include the face/gesture videos, medical scan image, sensor signals, and multimodal medical databases. The volume and complexity of these data provide significant data mining challenges as well as the opportunity to develop robust digital tools with clinical potentials. This workshop aims at bringing together researchers from medical data analysis, medical signal processing, health informatics, clinical research, statistical pattern recognition, machine learning, and artificial intelligence to share their recent progress and synergies. Emphasis will be on the potential towards translational medical research, clinical research and practice, AI-based diagnostic tools and databases, and a clinical-inclined integration of the data mining, bioinformatics, medical science, and clinical research areas.   Topics of Interests The topics of interests for the workshop include, but not limited to the following: Deep learning based multimedia analysis tools and applications for healthcare Deep learning based data mining tools for multimedia data retrieval Physiological and psychological sensing tools for healthcare data capturing, pre-processing, storage, retrieval, annotation, and utilization Clinical protocols and practices for multimedia content modeling and interpretation in clinical context AI-based diagnostic tools for improving medical operation efficiency and effectiveness Legal, ethical, and policy aspects of health informatics and AI medical data mining tools Operational and clinical trials of health informatics and machine-aided diagnostic tools Human factors, user-centered designs, integrative visualizations of data mining applications on medical science   Workshop Agenda Keynote 1: 8:10am – 9:05am Multimodal Diagnostic Feather Profiling and Phenotyping for Autism Spectrum Disorder (Daniel Messinger, University of Miami); Keynote 2: 9:05am – 10:00am Scaling-Up Heterogeneous Waveform Clustering for Long-Duration Waveform Recording and Analysis (Masaharu Goto, Keysight Technologies International Japan) Paper 1: 10:30am – 10:45am Implementation of Mobile-based Real-time Heart Rate Variability Detection for Personalized Healthcare Luis Quintero (Stockholm University)*; Panagiotis Papapetrou (Stockholm University); John Edison Munoz Cardona (University of Waterloo); and Uno Fors (Stockholm University) Paper 2: 10:45am – 11:00am Multi-Scale Sequential Pattern Discovery and Alignment for Long-Duration Waveform Similarity Quantification and Interpretation Masaharu Goto (Keysight Technologies International Japan)*, Naoki Kobayashi (Keysight Technologies International Japan); Gang Ren (University of Miami); and Mitsunori Ogihara (University of Miami) Paper 3: 11:00am – 11:15am Survival of the Fastest: Using Sequential Pattern Analysis to Measure Efficiency of Complex Organizational Processes Joseph Johnson (University of Miami)*; Raju Parakkal (Philadelphia University); Sherry Bartz (University of Miami); Gang Ren (University of Miami); and Mitsunori Ogihara (University of Miami) Paper 4: 11:15am – 11:30am Deep Learning based Multimedia Data Mining for Autism Spectrum Disorder (ASD) Diagnosis Saad Sadiq (University of Miami- Miller school of medicine)*; Michael Castellanos (GreenPath Financial ); Jacquelyn Moffitt (University of Miami ); Mei-Ling Shyu (University of Miami); Lynn Perry (University of Miami); Daniel Messinger (University of Miami) Paper 5: 11:30am – 11:45am Audio-Based Group Detection for Classroom Dynamics Analysis Yudong Tao (University of Miami, USA)*; Samantha Mitsven (University of Miami); Lynn Perry (University of Miami); Daniel Messinger (University of Miami); Mei-Ling Shyu (University of Miami)   Organizers Justine Cassell, School of Computer Science, Carnegie Mellon University, USA Jeffrey Cohn, Department of Psychology, University of Pittsburgh,...

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TRITON Supercomputer Launch Celebration Thursday 9/19/2019

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TRITON Supercomputer Launch Celebration Thursday 9/19/2019

You are invited to celebrate the launch of TRITON, the University of Miami’s new supercomputer. Using the same AI-optimized architecture as the world’s most powerful supercomputers, Triton is UM’s first GPU-accelerated HPC/AI system, representing a new approach to computational and data science. Triton was designed to process vast amounts of data in near real time by accelerating data transfer between the IBM POWER9 CPU and attached accelerators, enabling students, researchers, and data scientists to explore new possibilities. Join us on Thursday, September 19 from 4:00 to 6:00 PM for a Networking Reception at the Newman Alumni Center, 6200 San Amaro Drive, Coral Gables, FL 33146. If you plan to attend, please RSVP.   Location Newman Alumni Center, Multipurpose ABC, 6200 San Amaro Avenue, Coral Gables, FL 33146   |  Directions + Event Parking information TBA   Parking Instructions (Free) Non-UM attendees need to register their vehicles (just click here and enter your license plate number).  Your TRITON event parking session will be valid from 9/19 at 3:30 PM until 7:00 PM.  Parking is for the Grey Zone Lots only based on availability. Anyone with a UM parking permit does not need register their vehicle with the link.  Please park according to the type of permit you have. Grey Zone parking is permitted after restrictions are lifted at 4:00 PM.       TRITON in the News . . . South Florida Business Journal "University of Miami installs $3.7M Supercomputer" Inside HPC  "IBM Deploys TRITON AI Supercomputer at University of Miami" HPC Wire "University of Miami Deploys $3.7M IBM Power System for AI,...

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Overview of CCS Systems and New TRITON AI-ready System 9/20/2019

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Overview of CCS Systems and New TRITON AI-ready System 9/20/2019

DATA-DRIVEN COMPUTE SYSTEMS: A Case Study in Bioinformatics and Healthcare Data Science  The Biomedical Informatics architecture at UM currently supports nearly 7 PB of biomedical research data and numerous projects including EHR data from three Health Care partner organizations. This session will provide an overview of CCS's data-driven Advanced Computing Systems design as well as the design of the new AI-ready system, TRITON, which supports the biomedical architecture. The overall Biomedical Informatics and Bioinformatics architecture and the Miami CTSI program will be discussed in detail along with new innovative data-driven approaches and applications for Health Care and Biomedical Research. Also included in this session will be an overview of University Research Integration Data Environment (U-RIDE) which is a core component of this architecture comprised of three main layers: URIDE Foundation, URIDE Analytics, and URIDE Search. SPEAKER  Nick Tsinoremas, PhD | CCS Center Director   Friday, September 20, 2019, 11:15 AM   LOCATION University of Miami Coral Gables campus Arthur A. Ungar Building Abess Center for Ecosystem Science and Policy ( Room 230C-D) 1365 Memorial Drive, 2nd floor Coral Gables FL 33146 Directions  |  Map | Parking Map (N3)               Sign up for an Introduction to TRITON Workshop | Sessions begin 10/10   TRITON in the News . . . South Florida Business Journal “University of Miami installs $3.7M Supercomputer“ Inside HPC  “IBM Deploys TRITON AI Supercomputer at University of Miami“ HPC Wire “University of Miami Deploys $3.7M IBM Power System for AI, HPC“    ...

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Introduction to TRITON Workshops Offered Starting on 10/10/2019

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Introduction to TRITON Workshops Offered Starting on 10/10/2019

  The University of Miami has unleashed Triton to the research community. Using the same AI-optimized architecture as the world’s most powerful supercomputer, Triton is UM’s first GPU-accelerated HPC system, representing a new approach to computational and data science. Built using IBM Power Systems AC922 servers, Triton was designed to maximize data movement between the IBM POWER9 CPU and attached accelerators, enabling students, researchers, and analysts to explore new possibilities. The CCS Advanced Computing team is offering training sessions on TRITON at all three campuses. The training session will include information on how to create a new Triton account, utilize the pre-installed software, and best practices for using the new features on Triton for areas such as Deep Learning and Data Science. This is a hands-on session, so please bring a laptop. Register Now Gables Campus session – Thursday, October 10, 2019, 12:00 to 4:00 PM, in the Richter Library, 3rd floor Conference Room RSMAS Campus Session – Thursday, November 7, 2019, 12:00 to 4:00 PM, in SLAB 103 Medical Campus Session – Friday, December 13, 2019, 12:00 to 4:00 PM Don Soffer Clinical Research Center, Suite 710 PHOTOS by T.J. Lievonen TRITON in the News . . . South Florida Business Journal "University of Miami installs $3.7M Supercomputer" Inside HPC  "IBM Deploys TRITON AI Supercomputer at University of Miami" HPC Wire "University of Miami Deploys $3.7M IBM Power System for AI,...

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