Big Data for Small Business: Leveraging Data for Business Growth
2023-05-03 09:00 - 13:00 (America/New_York) | Rider University, Lynch Adler Hall 202, 2083 Lawrenceville Road, Lawrenceville, New Jersey, 08648, United States
The New Jersey Big Data Alliance, US Economic Development Administration, Edge and the Center for Business Analytics at Rider University’s Norm Brodsky College of Business invite you to learn how your small business can leverage big data. Join us for two informative panels and a networking lunch.

S﻿essions include:

C﻿hallenges and opportunities in the adoption of technology and use of data by small businesses. Panelists: Laura Glotzbach, LGS Marketing Services; Joe Hudicka, Neurored; Ramesh Gudalur, Cognitive Operations; Stuart Altschuler, Trenton Health Team

Role of ecosystem stakeholders in helping small businesses leverage big data and related technologies. Panelists: Elayne McClaine, NJ Small Business Development Center – Rutgers, New Brunswick; Jeffrey A. Robinson, PhD, Rutgers University; Judith Sheft, NJ Commission on Science, Innovation and Technology; Jasmine Ward, TechUnited

Panel moderators: Emre Yetgin, Director, Center for Business Analytics; Forough Ghahramani, Assistant VP, Research, Innovation & Sponsored Programs, Edge; Linda Lindner, Managing Editor, ROI-NJ.

Lunch and networking session to follow.

Download flyer (PDF)

2023 NJBDA Annual Symposium
2023-05-09 08:00 - 17:00 | Seton Hall University
The New Jersey Big Data Alliance (NJBDA) is an alliance of 18 higher education institutions, as well as industry and government members, that catalyzes collaboration in advanced computing and data analytics research, education and technology.

The NJBDA’s annual symposium is New Jersey’s premier conference for big data & advanced computing, consistently attracting 200+attendees from industry, government, and academia. View 2023 Symposium agenda and register.

Cyberinfrastructure for Research Data Management Workshop
2023-05-23 09:00 - 2023-05-24 16:00 | New Jersey
Princeton University, Edge, Globus, and EPOC (TACC and ESnet, partners of EPOC) are hosting the Cyberinfrastructure for Research Data Management workshop on the Princeton University campus this coming May 23-24, 2023 starting daily at 9 a.m. The in-person workshop is designed to help research computing professionals deploy next-gen cyberinfrastructure that can effectively support data-intensive science.

The workshop will consist of two days of presentation material that focus on the concepts of the Science DMZ, Data Management using Globus, perfSONAR network measurement, and other affiliated Research & Education best common practices that are designed to operate modern research and education networks to support data intensive science.

The content is intended for anyone supporting infrastructure and/or developing applications for research and education, and will be particularly useful to the following groups:

NSF Campus Cyberinfrastructure awardees (and those preparing for the next CC* solicitation)

Research computing administrators and technical staff

Campus enterprise storage infrastructure managers

Core facility (NGS, cryoEM, fMRI, etc.) IT staff

Outcomes: By the end of the event, attendees will have a better understanding of the requirements for supporting scientific use of the network, architectural strategies that can simplify these interactions, and tools that can transform and automate data management for researchers.

Event Details:

Day 1: May 23, 9 a.m. to 4 p.m.

Day 2: May 24, 9 a.m. to 4 p.m.

Cost: $49.00/person

Speakers and Full Agenda: Draft agenda and speaker list is now available online.

Please contact Forough Ghahramani at research@njedge.net if you need additional information.

NJBDA Annual In-Person Meeting
2023-09-22 09:00 - 14:30 | Princeton Innovation Center Biolabs, 303A College Road East, Princeton, New Jersey

NJIT Data Science Summit
2023-11-06 13:30 - 17:00 | NJIT@Jersey City, 101 Hudson St, Suite 3610, Jersey City, New Jersey, United States
The NJIT and Data Science community is invited to join the Institute for Data Science in an open summit with key industry professionals and NJIT research faculty with topics on Data Science and its implementation.

Speakers:

Xiaojing Wang, Distinguished Engineer, ADP

Usman Roshan, Associate Professor, NJIT

Mengjia Xu, Assistant Professor, NJIT

Erez Agmoni, Global Head of Innovation (Logistics & Services), Maersk

Megnan Du, Assistant Professor, NJIT

Sherry Marcus, Director, Titan Labs AWS

Rutgers Informatics Forum: Open Data & Artificial Intelligence
2023-11-17 12:00 - 13:00 | Zoom
Rutgers Informatics Forum: Open Data & Artificial Intelligence

The Open Data – AI panel:

Poonam Soans, CDO & Director of App Development, State of New Jersey

Rakesh Kumar, PhD, Vice President, ICS, CVT, SRI International

Clint Andrews, PhD, Professor, Bloustein, Rutgers University

Rachel Rosenthal, Bloomberg, Editorial board member

Jim Samuel, PhD, Bloustein, Rutgers University (moderator)

Part of the Intelligent Informatics @ Bloustein webinar series

NJIT Data Science Seminar Series
2024-02-06 14:30 - 15:30 | Guttenberg Information Technologies Center (GITC), 218 Central Ave, Newark, New Jersey, 07102, United States
Data Science Seminar Series in collaboration with the Department of Data Science

“Structure-Enhanced Text Mining for Understanding and Augmenting Scientific Discovery”

Yu Zhang University of Illinois Urbana-Champaign

Location: Guttenberg Information Technologies Center (GITC) Building, Room 4402 (4th floor lecture hall) (Coffee served at 2:15 PM)

Zoom Meeting Link

Hosted by Shuai Zhang

Language models pre-trained on large-scale text corpora have achieved remarkable success in building text mining systems. Meanwhile, text is usually accompanied by various types of structural signals, such as document metadata, concept ontologies, and citation networks, that can potentially benefit the understanding of text. To enhance the effectiveness of text mining methods, my research focuses on teaching language models to exploit structural information for both fundamental tasks and advanced domain-specific applications, with an emphasis on understanding and augmenting scientific discovery. In the first part of the talk, I will present structure-aware classification algorithms that can predict relevant categories of a scientific paper from hundreds of thousands of candidate classes. These methods have been adapted into the Microsoft Academic Graph production pipeline. The second part of the talk will introduce seed-guided topic mining approaches that find category-indicative entities and structural signals. In the third part, I will discuss how to leverage multi-task language model pre-training techniques to facilitate advanced applications in the scientific domain, such as patient-to-article retrieval and paper-reviewer matching. Finally, I will outline future research directions, including structure-aware usage of large language models, flexible translation between different types of scientific data, and data mining for accelerating science and innovation.

Yu Zhang is a Ph.D. candidate in the Department of Computer Science at the University of Illinois Urbana-Champaign, advised by Prof. Jiawei Han. Prior to UIUC, he received his B.Sc. degree in Computer Science from Peking University. Yu’s research focuses on structure-enhanced text mining and its applications in scientific literature understanding. His first-authored papers have been published in top-tier venues in the fields of data mining, natural language processing, and information retrieval. Yu has been awarded the UIUC Dissertation Completion Fellowship and the Yunni & Maxine Pao Memorial Fellowship.

Performance Engineering for Scalable AI
2024-02-12 11:00 - 11:50 | Gateway Academic Center, 6th Street Lot, 601 Hudson St, Hoboken, New Jersey, 07030, United States
Speaker: Xuhao Chen, Research Scientist, MIT CSAIL

Hosted by Stevens Institute of Technology

Location: Gateway North 303 (with virtual option)

ABSTRACT

Due to massive size, complex algorithms and irregular data structures, AI applications are expensive and hard to scale, which poses great challenges in computing system design.

In this talk, I will discuss my approach called cross-stack performance engineering, to address this challenge. I will describe software and hardware system design principles, optimization techniques and automation methodologies, across different layers of the system stack. I will show promising results to demonstrate that this cross-stack approach is effective to make AI scalable.

BIOGRAPHY

Xuhao Chen is a Research Scientist at MIT CSAIL. Dr. Chen is broadly interested in parallel systems and architectures, with a focus on AI and big-data applications. His recent work aims to make AI scalable by designing efficient algorithms, software systems and hardware accelerators. His work has been published in OSDI, ISCA, MICRO, VLDB, ICS, etc.

Zoom link: https://stevens.zoom.us/j/91365277622

NJBDA Research Collaboration Forum
2024-02-16 09:30 - 13:30 | Saint Peter’s University – Jersey City Campus, 2641 John F. Kennedy Blvd, Dinneen Hall, 1st Floor, McIntyre Room, Jersey City, NJ, 07306, United States
The New Jersey Big Data Alliance is convening the NJBDA Research Forum which is open to all research professionals, faculty, research computing professionals, students, and other campus partners interested in shaping the Big Data and AI research collaboration landscape. Please feel free to share with your communities!

Our keynote speaker is Dr. Stephen K. Burley, Director of the RCSB Protein Data Bank.

Forum highlights:

Big Data and AI Research Collaborations

Communities and Resources for Advancing Collaborations

Funding Opportunities

Establish Contacts with the New Jersey Big Data & AI Research Community

For additional information, contact research@njedge.net.

Agenda

PDF version

9:30 AMRegistration & Light Refreshments10:00 AMWelcome and Opening Remarks (NJBDA and Saint Peter’s University host institution)Forough Ghahramani, Vice President, NJBDA Research Committee; Assistant Vice President, Research & Innovation, NJ EdgeSharath Kumar Jagannathan, Ph.D., Assistant Professor;School of Business & Data Science Institute, Saint Peter’s University10:05 AMNJBDA Updates: New Jersey Big Data Alliance Annual Symposium and The Journal of Big Data and Artificial IntelligenceForough Ghahramani, Assistant Vice President, Research & Innovation, NJ Edge Hieu Nguyen, Ph.D., Professor, College of Science and Mathematics, Rowan University10:15 AMResources and Communities for Advancing Research CollaborationsJudith Sheft, Executive Director, New Jersey Commission on Science, Innovation and TechnologyForough Ghahramani, Assistant Vice President, Research & Innovation, NJ Edge10:30 AMKeynote: “Protein Data Bank: From Two Epidemics to the Global Pandemic to mRNA Vaccines and Paxlovid“Stephen K. Burley, M.D., D.Phil; University Professor and Henry Rutgers Chair; Founding Director, Institute for Quantitative Biomedicine; Director, RCSB Protein Data Bank; Co-Lead, Cancer Pharmacology Research Program, Cancer Institute of New Jersey; Rutgers, The State University of New Jersey11:15 AMResearch collaboration opportunities – lightning presentations11:15-11:25 – “Blueberry Drone AI: Research collaboration between Rowan University and Camden County College” – Hieu Nguyen, PhD, Professor, College of Science and Mathematics, Rowan University 11:25– 11:35 – “Unleashing the Power of Ontologies: From Structuring Knowledge to Ethical AI” – Navya Martin, Ph.D. Candidate, Department of Computer Science, New Jersey Institute of Technology 11:35 – 11:45 – “Application of Machine learning and Deep learning to diverse challenges in Bioinformatics and Computational Biology”- Iman Dehzang, Ph.D. Assistant Professor, Dept. of Computer Science, Rutgers, The State University of New Jersey 11:45 – 11:55 – “Learning Hyperbolic Brain Network Representations for Healthy Aging Trajectories and Cognitive Decline Prediction” – Mengjia Xu, Ph.D., Assistant Professor, Department of Data Science, Ying Wu College of Computing, New Jersey Institute of Technology 12:00 PMResearch funding opportunity and tips for writing successful grant proposalsGreg Monaco, Ph.D., CEO, Research Advisors12:30 PMWorking Lunch – Roundtable discussions by broad areas of research AI and Machine/Deep LearningCollaboration between 4-year and 2-year schoolsGenerative AI (ex: ChatGPT)Healthcare/MedicineCybersecurity, Cyber infrastructure, HPCPhysics, Astro physicsSmart cities, IoTSustainabilityOther areas of interest1:15 PMRoundtable Session Reports1:30 PMWorkshop Adjourns and Informal Networking

Parking

Parking is available at Armory Lot located at 686 Montgomery Street.

Assistance with directions or have any questions about parking, please contact one of our Team members:

Supreeth Dandu: +1 571 456 9919Rohith Sanku: +1 551 344 8839

Please share this PDF flyer with your networks!

Meeting the Moment: BIPOC Tech Leader Voices
2024-02-22 17:30 - 21:00 | Seton Hall University, Bethany Hall, Room A, South Orange, New Jersey, ]07079, United States
“Meeting the Moment” is dedicated to uncovering how diverse perspectives drive social change in technology through storytelling. We will feature speakers who are pioneers in their fields, ready to share their insights, stimulate discussion, and offer impactful takeaways.

Featured Speakers

Jerrel Peterson, Director, at Spotify

Samuel Bradley, Ph.D., M.S.W., Professor, Macro Social Work, Equity, Justice, and Inclusion

Magdala Chery, D.O., M.B.S., M.P.H., Physician and Health Equity Advocate

Nnemoma Chuwumerije, M.S.W., Community Enablement Manager, Lotic Ai

Program Highlights

TechTalks: Enlightening talks by our speakers, detailing their tech journey and insights.

TechTable: A conversation on reimagining tech innovation at the crossroads of social work.

Panel Discussion & Q&A: An interactive session with our speakers, offering direct engagement and insights.

Networking Mix and Mingle Following the panel discussion, we invite you to join us for a networking mix and mingle session. This will be an excellent opportunity to connect with the speakers, fellow attendees, and professionals over wine and cheese. It’s a perfect setting to build connections, share ideas, and foster collaborations in a relaxed and friendly environment.

This event is organized by the Master of Social Work and Master of Public Administration programs and sponsored by the College of Arts and Sciences.

Don’t miss this opportunity to be part of a meaningful conversation on technology and social impact, and to network with like-minded individuals passionate about making a difference.

We look forward to seeing you there for an evening of insightful discussions and enriching connections.

Amy Zhang – Sociotechnical Designs for Democratic and Pluralistic Governance of Social Media and AI
2024-03-05 12:30 - 13:30 | Zoom
In-person attendance is open to Princeton University faculty, staff, students and alumni. This talk is open to the public via Zoom.

Decisions about policies when using widely-deployed technologies, including social media and more recently, generative AI, are often made in a centralized and top-down fashion. Yet these systems are used by millions of people, with a diverse set of preferences and norms. Who gets to decide what are the rules, and what should the procedures be for deciding them—and must we all abide by the same ones? This talk draws on theories and lessons from offline governance to reimagine how sociotechnical systems could be designed to provide greater agency and voice to everyday users and communities. This includes the design and development of: 1) personal moderation and curation controls that are usable and understandable to laypeople, 2) tools for authoring and carrying out governance to suit a community’s needs and values, and 3) decision-making workflows for large-scale democratic alignment that are legitimate and consistent.

Bio:

Amy X. Zhang is an assistant professor at University of Washington’s Allen School of Computer Science and Engineering, where she leads the Social Futures Lab, dedicated to reimagining social and collaborative systems to empower people and improve society. Her work has received awards at ACM CHI and ACM CSCW, and she has been a Google Research Scholar, a Belfer Fellow at the ADL, a Berkman Klein Fellow, a Google PhD Fellow, and an NSF CAREER recipient and Graduate Research Fellow.

Her work has been profiled in BBC’s Click television program, CBC radio, and featured in articles by ABC News, The Verge, New Scientist, and Poynter. Besides her work at UW, she is also a research consultant at AI2 on the Semantic Scholar team, and prior to UW, she was a Stanford postdoctoral researcher after completing a Ph.D. at MIT CSAIL, where she received the George Sprowls Best Thesis Award at MIT in computer science. She received an MPhil in Computer Science at the University of Cambridge on a Gates Fellowship and a BS in Computer Science at Rutgers University, where she was captain of the Division I Women’s tennis team.

This talk will be recorded and posted to the CITP website, YouTube channel and to Media Central.

If you need an accommodation for a disability please contact Jean Butcher at butcher@princeton.edu at least one week before the event.

AI - Use, Abuse & an Exciting Future!
2024-03-20 18:00 - 18:30 | Zoom
Rutgers Bloustein School MPI program will be hosting an interesting webinar on AI – Use, Abuse & an Exciting Future!

Join us for an interactive presentation on Wednesday 6 PM, 3/20/2024 by Bloustein AI course participants Alexandra Behette, Médora Benson, Md. Nurul Hoque, Prajwal Nagendra, Sahar Sherwani, Seongeun Cho, Beauty Okunbor, and Anish Gupta with faculty expert, Professor Jim Samuel.

Special thanks to Pawel M., AI Social Impact Lab for leading this initiative!

Learn more about the event.

MPI Program info: https://informatics.rutgers.edu/

Generative AI Reverse Pitch
2024-03-27 16:00 - 18:00 | NJIT Institute for Data Science, 101 Hudson Street, Suite 3610, Jersey City, NJ, 07302, United States
NJBDA / Startupgrind Reverse Pitch Event

Please join us for an AI event at 4PM on Wednesday, March 27th in Jersey City to learn how generative AI chatbots can help your mission-based organization do more.

Startup Grind Princeton is matching pro bono tech teams with non-profits and other mission-based organizations to help them improve their service delivery. This is a great way to see how to use AI for good.

Imagine a world where nonprofits harness cutting-edge technology to accelerate their impact. Ignite Change is a program tailored for nonprofits, empowering them to develop innovative solutions using generative AI.

2024 NJBDA Annual Symposium
2024-05-17 08:30 - 15:30 | Douglass Student Center, Rutgers University, 100 George St, New Brunswick, New Jersey, 08901, United States
Artificial Intelligence Impacts on Society & Higher Education

The New Jersey Big Data Alliance (NJBDA) is an alliance of leading higher education institutions, government organizations and industry members that catalyzes research and collaboration in advanced computing and data analytics, education, technology and artificial intelligence (AI). NJBDA’s annual symposium is New Jersey’s premier conference for big data, advanced computing and AI, consistently attracting hundreds of attendees from industry, government, and academia.

The 2024 NJBDA Symposium will be hosted by Rutgers Bloustein School and other collaborators at Rutgers University, on Friday, the 17th of May 2024 from 8:30 am to 3:30 pm.

The theme for the 2024 NJBDA symposium is ‘AI Impacts on Society & Higher Education’. The symposium will be a collaborative forum for information sharing, networking, research and discovery of opportunities and challenges for AI in society and higher education i.e. how will AI transform higher ed teaching and learning, how can university leaders effectively leverage and manage AI, AI misuse, the expanding digital divide, data bias and ethical implications.

The NJBDA is accepting research presentation abstracts until March 22, 2024. Learn more and submit an abstract.

Symposium agenda will be posted shortly at the 2024 Symposium page.

Register now

AI Teaching & Learning Symposium
2024-06-11 08:00 - 17:00 | Seton Hall University
Join Edge and Seton Hall University for the inaugural “AI Teaching & Learning Symposium”. The symposium will consider the impact of AI on teaching, learning, and the student experience. Located in the quaint town of South Orange, New Jersey, the 58-acre main campus is only 14 miles from Manhattan.

Controlling the Chaos: Best Practices for Managing & Protecting Research Data
2024-06-25 10:00 - 11:00 | Zoom
Research data in Higher Ed institutions is unique and valuable and must be managed and shared appropriately. NIH requires researchers to outline how they will manage and share their data. Research data can be highly sensitive, and developing appropriate data protection plans is crucial to a successful program. This session will teach you how to implement good data management practices, including how to prioritize and safe keep the most important data sets. You will also learn how to shift from manual processes to automatically identify the classification, age, and usefulness of your data, and how to recover faster from any type of breach.

NJBDA-Commvault-Event-2Download

Winning Strategies: Mastering Hackathons and Data Science Competitions
2024-10-04 09:30 - 13:00 | Rowan University – Business Hall, 201 Mullica Hill Rd, Glassboro, New Jersey, 08028, United States
Jumpstart your hackathon success with our intensive half-day workshop! Designed for aspiring innovators, this session equips you with essential strategies and skills to excel in hackathons. Sponsored by the New Jersey Big Data Alliance.

What You’ll Gain:

Hackathon Basics: Learn what it takes to compete and succeed.

Teamwork & Planning: Discover how to select a winning idea and execute it efficiently.

Tech & Design Insights: Get quick tutorials on popular hackathon tools and design principles.

Pitch Perfect: Enhance your presentation skills to impress judges.

Workshop Highlights:

Expert-led interactive lectures and hands-on challenges.

Insightful panel discussions with past winners.

A toolkit of resources for continued learning and preparation.

Who Should Attend: Undergraduate students of all disciplines looking to boost their hackathon performance and network with like-minded peers.

Reserve Your Spot: Transform Your Innovative Ideas into Winning Projects!

Check out the agenda:

Agenda for Hackathon Success Workshop (3)Download

2024 Business Summit
2024-10-10 08:30 - 13:00 | New Jersey
Register to attend the 2024 Business Summit! This premier event brings together visionary business leaders, entrepreneurs, advisors, and government officials under one roof. This year’s theme, “Innovate to Elevate: Shaping Tomorrow’s Business Landscape,” promises to deliver insights to drive your business forward.

Speakers: Nayan Dalal, TLI Home; John DelliSanti, Sampled; Tasha Youngblood Brown, Ernst & Young

Why attend?

Network with peers

Build valuable relationships

Hear from the “front lines”

Understand and capitalize on market trends

Discuss best practices

EdgeCon 2024
2024-10-10 09:00 - 17:00 | Kean University, 1000 Morris Avenue, Union, New Jersey, 07083, United States
EdgeCon Autumn 2024 Keynote Panel

Blueprints for Success: Uniting Strategy and Innovation in Higher Education

This keynote panel discussion delves into how higher education institutions, from research-intensive universities to community colleges, can achieve sustained success by uniting strategy and innovation through enterprise architecture. Regardless of your institution’s unique challenges—whether it’s optimizing operational efficiency, enhancing student success, or aligning resources with strategic priorities—collaboration across the entire institution is key. Our panel of experts will demonstrate how a well-integrated approach to technology and strategic planning can align every facet of your institution, from leadership to front-line staff, driving progress toward your institutional mission. Discover how to leverage enterprise architecture to foster a culture of collaboration, streamline operations, and propel your institution toward enduring excellence in a dynamic educational landscape.

Moderator:

Ed Wozencroft, Vice President for Digital Strategy, Chief Digital Officer, and CIO, New Jersey Institute of Technology

Panelists

Mark Sedlock, Vice President and Chief Technology Officer, Rowan University

Henry Pruitt, Enterprise Architect, NYU

Christopher Markham, Executive Vice President, Edge

NSF I-Corps Information Session
2024-10-11 12:00 - 13:00 | Zoom
Participating in the NSF I-Corps Northeast Hub programs can provide key benefits to your institution:

Institutional Prestige: Participation in I-Corps can boost your institution’s national reputation as a leader in innovation, further enhancing academic excellence and regional economic development.

Comprehensive Entrepreneurial Training: I-Corps Programs such as Propelus (4-week program), Novus (half-day), and the Fellowship (matching innovation-minded students from diverse backgrounds to accepted I-Corps Teams) offer tailored training to guide innovators from research to market. These programs provide hands-on experience and support from regional I-Corps activities to National I-Corps initiatives, unlocking greater funding and resources.

Funding Opportunities: Your faculty and students will become eligible for NSF funding and broader innovation resources in the innovation ecosystem to further support the commercialization of their research and entrepreneurial efforts.

Professional Skills & Career Development: Our programs enhance the employability and career prospects of students and faculty by equipping them with practical skills in translating research into marketable products and services. I-Corps training also provides opportunities for participants to improve professional skills.

An AI Panel Discussion
2024-10-16 16:30 - 18:30 | Eberhardt Hall, Room 112, 323 Dr Martin Luther King Jr Blvd, Newark, New Jersey, 07102, United States
AI Lecture Series sponsored by Databank

Speakers: Angelique Marie Taylor, Cornell University; Kevin Coulter, Dell Technologies; Guiling Wang, NJIT; moderated by David Bader, NJIT

The NJIT and Data Science community is invited to join the Institute for Data Science in an AI Panel discussion with key industry professionals and NJIT research faculty with topics on AI. The event will be held in person with a virtual option. Please note space is limited please only choose an in-person ticket if you plan to attend physically thank you for your understanding.

Defending HiEd: Proactive Strategies Against Ransomware Threats
2024-10-22 08:00 - 08:45 | New Jersey
In an era where cyber threats loom larger than ever, higher education institutions find themselves frequent targets of sophisticated ransomware attacks. The question is no longer “if” but “when” an attack will occur. How prepared is your institution to respond and recover? Join us for an enlightening session led by one of Commvault’s top security experts designed specifically for IT and security professionals in the higher education sector. This session will dive deep into the anatomy of modern ransomware attacks, providing you with a clear understanding of how these threats operate and evolve. During this session, we will guide you through real-time scenarios demonstrating the early signs of a ransomware attack and the critical steps needed to mitigate damage. Gain insights from a higher education institution to learn how they tackle these challenges. Learn about the latest strategies and technologies that can help detect these threats at an early stage and explore effective measures to prevent a full-scale security meltdown. By the end of this session, you will gain invaluable insights and practical tools to enhance your institution’s cybersecurity posture. Equip yourself with the knowledge to not only respond to ransomware threats but to proactively manage and prevent them, ensuring the safety and integrity of your educational environment. Don’t miss this opportunity to transform your approach to cybersecurity and safeguard your institution’s future.

(This is a session at the Educause Annual Conference, October 21-23, San Antonio, TX.)

Presenters: Michael Carroll, VP SLED Sales, Commvault; Dean Dang, Director, Enterprise Applications and Services, University of Illinois Chicago

Uncover a Hidden Gem at Anaqua Garden Bar!
2024-10-22 18:30 - 21:30 | Anaqua Garden Bar, 555 S Alamo St, San Antonio, Texas, 78205, United States
You’re invited to an exclusive evening following the EDUCAUSE Expo Hours! Join SHI, Apple, & Commvault at the captivating Anaqua Garden Bar in San Antonio, TX. You won’t want to miss this unforgettable opportunity to network with the team over unique appetizers, botanical cocktails, and tranquil garden views.

We look forward to seeing you there!

Register now

Princeton Symposium on Safe Deployment of Foundation Models in Robotics
2024-11-04 08:00 - 18:00 | Maeder Hall, Andlinger Center for Energy and the Environment, 92 Olden St, Princeton, New Jersey, United States
Foundation models such as large language models (LLMs) and vision-language models (VLMs) have showcased remarkable capabilities in areas like commonsense reasoning, planning, and physical understanding. These advancements have paved the way for applying such models in robotics, enabling them to perceive their environment, generate and evaluate potential plans, and even command low-level actions. However, the integration of foundation models in robotics also raises significant challenges, particularly around ensuring the safety and alignment of robotic systems given the black-box nature of these models. This symposium brings together leading experts from both academia and industry to explore the opportunities and challenges of safely incorporating foundation models into robotic systems.

Art by Humans and Machines
2024-11-06 16:00 - 18:00 | Gateway South, Stevens Institute of Technology, 607 River Terrace, Hoboken, New Jersey, United States
Join us for this Campus Point Connection, where Larry O’Gorman of Nokia Bell Labs will consider how art and technology fuse to create interactive experiences.

O’Gorman will trace the evolution of tech-enhanced artworks by examining the histories of video, audio, biometrics and machine learning. Expect to hear about Bell Labs’ earliest collaborations with visionaries like Robert Rauschenberg and Merce Cunningham to today’s cutting-edge creations.

Gateway South: Room 216

ABSTRACT

In the last decade, the art and theater worlds have increasingly endeavored to create immersive experiences for their audiences. In many cases, this entails the use of cameras and other sensors, combined with recognition techniques so audience input can modify the artwork. Recent machine learning advancements have also increased artists’ enthusiasm for creating technology-enhanced artworks.

In this talk, Larry O’Gorman of Nokia Bell Labs will discuss interactive methodologies using patterns from video, audio, biometrics, and machine learning. O’Gorman will also show a sampling of the interactive artworks starting with the Experiments in Art and Technology that involved New York artists such as Robert Rauschenberg and Merce Cunningham working with Bell Labs engineers in the 1960s, and up to present day.

Data-Driven Precision Health: Integrating Genomics, Climate, and the Environment
2024-11-07 08:00 - 17:30 | Maeder Hall, Andlinger Center for Energy and the Environment, 92 Olden St, Princeton, New Jersey, United States
This conference, sponsored by Princeton Precision Health, NOAA’s Geophysical Fluid Dynamics Laboratory, and the High Meadows Environmental Institute (HMEI) will bring together an interdisciplinary community from academia, government, and industry to explore research questions at the intersection of human health, climate, and environment. The event aims to spark discussions and inspire new research directions on future health impacts, with a focus on predicting outcomes and developing equitable risk mitigation strategies.

Registration is free but required.

Belief transport: The mathematical theory of learning agents
2024-11-08 10:30 - 12:00 | Princeton University Press, 41 William St, Princeton, New Jersey, United States
Abstract: Learning agents, which include humans and (ideally) AI agents, take action in the world and learn from the outcomes. I will present our recent efforts toward an integrated theory of learning agents that span learning, planning, and social reasoning. The talk will focus on cooperative communication as an extended case study, and suggest directions, implications, and limitations of the proposed approach.

Bio: Dr. Patrick Shafto is Professor of Mathematics and Computer Science at Rutgers University – Newark and Program Manager at DARPA’s I2O office. He spent the previous two years as Member of the School of Mathematics at the Institute for Advanced Study. Research in his lab focuses on mathematical foundations of learning in humans and machines. He has received honors and awards including an NSF CAREER award, chair in Data Science, and outstanding reviewer awards at NeurIPS and ICML. His research has been supported by NSF (EHR, CISE, SBE), DARPA, DoD, NIH, and the intelligence community and is a fellow of the Cognitive Science Society.

Light breakfast will be served.

Language model-guided anticipation and discovery of unknown metabolites
2024-11-12 12:00 - 13:30 | Bendheim House, Princeton University, 26 Prospect Avenue, Princeton, New Jersey, United States
Speaker: Michael Skinnider, Princeton University

Lunch is available beginning at 12 PM

Speaker to begin promptly at 12:30 PM

Abstract: Despite decades of study, large parts of the human metabolome remain unexplored. Mass spectrometry-based metabolomics routinely detects thousands of unidentified small molecules within human tissues and biofluids, but structure elucidation of novel metabolites remains a low-throughput endeavour. Here, we present an approach that leverages chemical language models to discover previously uncharacterized metabolites. We introduce DeepMet, a language model that learns the latent biosynthetic logic embedded within the chemical structures of known metabolites and exploits this understanding to anticipate the existence of as-of-yet undiscovered metabolites. Prospective synthesis of metabolites predicted to exist by DeepMet directs their targeted discovery. Integrating DeepMet with tandem mass spectrometry (MS/MS) data enables automated metabolite discovery within complex tissues. We demonstrate the potential for language models to accelerate the mapping of the metabolome by harnessinging DeepMet to discover several dozen mammalian metabolites.

CCM Data Science Night: Data Under the Stars
2024-11-14 18:00 - 21:00 | County College of Morris, 675 New Jersey 10, Randolph, New Jersey, 07869
Join CCM Data Science Faculty, Students, and their Industry and Educational Partners to learn about the dynamic and rewarding field of data science and participate in hands-on, short interactive workshops in data visualization, natural language processing and more.

Check-in at Cohen Cafe

Parking available in Lot 7 on the CCM campus.

Supported by: NSF ATE Grant Award Abstract # 2400709 The Establishment of a Data Science Institute at a Two-Year Community College

The Impact of AI on Education
2024-12-06 12:00 - 13:00 | Virtual
Presented by Lukman Ramsey, Ph.D.Head of AI Solutions, Public Sector and EducationGoogle

This presentation will explore the transformative role of artificial intelligence in the educational sector. Drawing on Dr. Ramsey’s extensive experience, he will outline the key challenges currently being addressed by AI technologies and will delve into specific applications, particularly in AI-driven tutoring and personalized learning experiences. The discussion will highlight innovative solutions developed by Google, demonstrating recent advancements and envisioning the future trajectory of AI in education.

Please join us for this informative session and feel free to share the event information with your networks.

Please contact Forough Ghahramani for additional information.
