News & Events

Department Events & Announcements

Events

• Sep

  18

  CS Seminar: A Theory for Quantum Learning in the NISQ Era (Jerry Li)

  Department of Computer Science (CS)

  12:00 PM 3514, Mudd Hall ( formerly Seeley G. Mudd Library)

  EVENT DETAILS

  Monday // CS Colloquium
  September 18th // 12:00 PM cst
  Mudd 3514

  Speaker
  Jerry Li
  MSR Redmond

  Title
  A Theory for Quantum Learning in the NISQ Era

  Abstract
  How can we learn inherently quantum phenomena? Not only is this question important for verification of quantum computation, but it is arguably one of the most basic learning theoretic questions about the physical world. While much there has been much theoretical attention on this question, almost all of the algorithms developed are impractical to run on existing (so called noisy intermediate scale quantum or NISQ) quantum computers. One key bottleneck to implementing these algorithms is that NISQ devices lack the large scale quantum memory required. However, in contrast to the unconstrained quantum setting, where in many cases optimal rates are known, the theory of learning on such NISQ devices was, prior to our work, much less well understood. In this talk, we will describe a line of work on understanding the complexity of learning with limited amounts of quantum memory, and more generally, learning on NISQ devices. For many natural problems, we will demonstrate sharp characterizations for the sample complexity of learning with and without quantum memory. No prior knowledge of quantum will be necessary for the talk, nor possessed by the speaker.

  Biograpahy
  Jerry is a principal research scientist at MSR Redmond, where he works on a number of topics, including quantum information theory, high dimensional statistics, robustness, and the science of deep learning. He obtained his PhD from MIT under Ankur Moitra, and was a VMWare Fellow at the Simons Institute.

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  TIME Monday, September 18, 2023 at 12:00 PM - 1:00 PM

  LOCATION 3514, Mudd Hall ( formerly Seeley G. Mudd Library)    map it

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  CONTACT Wynante R Charles    wynante.charles@northwestern.edu EMAIL

  CALENDAR Department of Computer Science (CS)

• May

  23

  Efficient Machine Learning and Optimization

  Department of Computer Science (CS)

  8:30 AM 3514, Mudd Hall ( formerly Seeley G. Mudd Library)

  EVENT DETAILSmore info

  This workshop will bring together researchers and practitioners to discuss recent advances in energy-efficient machine learning (ML). As ML models grow in scale and complexity, optimizing their energy consumption has become a critical research challenge. Topics will include model compression, quantization, hardware-aware neural architectures, sustainable AI frameworks, and energy-efficient inference techniques. The workshop will feature invited talks and ample time for networking.

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  TIME Friday, May 23, 2025 at 8:30 AM - 5:00 PM

  LOCATION 3514, Mudd Hall ( formerly Seeley G. Mudd Library)    map it

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  CONTACT Indira Munoz    indira.munoz@northwestern.edu EMAIL

  CALENDAR Department of Computer Science (CS)

• May

  29

  Bagel Thursday

  Department of Computer Science (CS)

  9:00 AM

  EVENT DETAILS

  TBA

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  TIME Thursday, May 29, 2025 at 9:00 AM - 11:00 AM

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  CONTACT Wynante R Charles    wynante.charles@northwestern.edu EMAIL

  CALENDAR Department of Computer Science (CS)

• May

  29

  Computer Science End of Year Awards

  Department of Computer Science (CS)

  2:30 PM Cohen Commons, Technological Institute

  EVENT DETAILS

  Dear CS Community,
  You're warmly invited to the Computer Science Award Celebration on Thursday, May 29, 2025, in Cohen Commons! Join us as we recognize the outstanding achievements and contributions of our CS community this year.

  Event Details:
  📅 Date: Thursday, May 29, 2025
  🕓 Time: 2:30-4PM
  📍 Location: Cohen Commons (Technological Institute)

  Light refreshments and cookies will be served, and all members of the CS department are welcome!

  Please RSVP by May 23rd so we can plan accordingly: https://app.smartsheet.com/b/form/2ba023053257473387bc29200e2587e7

  Register Now

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  TIME Thursday, May 29, 2025 at 2:30 PM - 4:00 PM

  LOCATION Cohen Commons, Technological Institute    map it

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  CONTACT Wynante R Charles    wynante.charles@northwestern.edu EMAIL

  CALENDAR Department of Computer Science (CS)

• Jun

  4

  CS Seminar: Reusing Deep Learning Models: Challenges and Directions in Software Engineering: An Update (George K. Thiruvathukal)

  Department of Computer Science (CS)

  12:00 PM

  EVENT DETAILS

  Wednesday / CS Seminar
  June 4th / 12:00 PM
  Hybrid / Mudd 3514

  Speaker: George K. Thiruvathukal

  Talk Title: Reusing Deep Learning Models: Challenges and Directions in Software Engineering: An Update

  Abstract: Deep neural networks (DNNs) achieve state-of-the-art performance in many areas, including computer vision, system configuration, and question-answering. However, DNNs are expensive to develop, both in intellectual effort (e.g., devising new architectures) and computational costs (e.g., training). Re-using DNNs is a promising direction to amortize costs within a company and across the computing industry. As with any new technology, however, there are many challenges in re-using DNNs. These challenges include both missing technical capabilities and missing engineering practices. We discusschallenges in current approaches to DNN re-use. We summarize studies of re-use failures across the spectrum of re-use techniques, including conceptual (e.g., re-using based on a research paper), adaptation (e.g., re-using by building on an existing implementation), and deployment (e.g., direct re-use on a new device). We outline possible advances that would improve each kind of re-use.

  In this update of my invited presentation at IEEE Services 2023 at the John Vincent Atanasoff Sypmposium on Modern Computing, I will include information about our work in progress on the use of Deep Learning and Pre-Trained Models (PTMs) in science and engineering applications and our efforts to conduct automated longitudinal analysis of same.

  Biography: https://gkt.sh/about/

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  TIME Wednesday, June 4, 2025 at 12:00 PM - 1:00 PM

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  CONTACT Wynante R Charles    wynante.charles@northwestern.edu EMAIL

  CALENDAR Department of Computer Science (CS)

• Jun

  15

  2024-2025 Commencement Ceremony

  University Academic Calendar

  All Day

  EVENT DETAILSmore info

  2024-2025 Commencement Ceremony

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  TIME Sunday, June 15, 2025

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  CONTACT Office of the Registrar    nu-registrar@northwestern.edu EMAIL

  CALENDAR University Academic Calendar

• Jun

  16

  Northwestern Engineering PhD Hooding and Master's Degree Recognition Ceremony

  McCormick School of Engineering and Applied Science

  9:00 AM 2705 Ashland Ave

  EVENT DETAILS

  McCormick School of Engineering PhD Hooding and Master's Degree Recognition Ceremony. The most up to date information can be found on our graduation webpage.

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  TIME Monday, June 16, 2025 at 9:00 AM - 11:00 AM

  LOCATION 2705 Ashland Ave   

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  CONTACT Northwestern Engineering Events    northwestern-engineering-events@northwestern.edu EMAIL

  CALENDAR McCormick School of Engineering and Applied Science

• Jun

  16

  Northwestern Engineering Undergraduate Convocation

  McCormick School of Engineering and Applied Science

  2:00 PM 2705 Ashland Ave

  EVENT DETAILSmore info

  McCormick School of Engineering Undergraduate Convocation. The most up to date information can be found on our graduation webpage.

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  TIME Monday, June 16, 2025 at 2:00 PM - 4:00 PM

  LOCATION 2705 Ashland Ave   

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  CONTACT Northwestern Engineering Events    northwestern-engineering-events@northwestern.edu EMAIL

  CALENDAR McCormick School of Engineering and Applied Science