Annual Symposium on Combinatorial Pattern Matching (summer school + conference))

November 28, 1987 – July 7, 2021
Wrocław, Poland and online
https://cpm2021.ii.uni.wroc.pl/

The Annual Symposium on Combinatorial Pattern Matching (CPM) has by now over 30 years of tradition and is considered to be the leading conference for the community working on Stringology. The objective of the annual CPM meetings is to provide an international forum for research in combinatorial pattern matching and related applications such as computational biology, data compression and data mining, coding, information retrieval, natural language processing, and pattern recognition. The conference will be preceded by a student summer school on July 4, 2021. Registration is free but mandatory.

Workshop on Machine Learning for Algorithms

July 13-14, 2021
Foundations of Data Science Institute (FODSI)
https://fodsi.us/ml4a.html

In recent years there has been increasing interest in using machine learning to improve the performance of classical algorithms in computer science, by fine-tuning their behavior to adapt to the properties of the input distribution. This “data-driven” or “learning-based” approach to algorithm design has the potential to significantly improve the efficiency of some of the most widely used algorithms. For example, it has been used to design better data structures, online algorithms, streaming and sketching algorithms, market mechanisms and algorithms for combinatorial optimization, similarity search and inverse problems. This virtual workshop will feature talks from experts at the forefront of this exciting area.

International School-conference in Algorithms, Combinatorics, and Complexity

May 24-28, 2021
Online
https://indico.eimi.ru/event/199/

An advanced school for young researchers featuring three minicourses in vibrant areas of mathematics and computer science. The target audience includes graduate, master, and senior bachelor students of any mathematical speciality.

Quarterly Theory Workshop: Algorithms and their Social Impact

March 19, 2021
Virtual (on Gather.town and Zoom)
https://theory.cs.northwestern.edu/events/quarterly-theory-workshop-algorithms-and-their-social-impact/

The focus of this workshop will be on the societal impacts of algorithms. From designing self-driving cars to selecting the order of news posts on Facebook to automating credit checks, the use of algorithms for decision making is now commonplace. Hence it is more important than ever to consider fairness as a key aspect while designing these algorithms to prevent unwanted bias and prejudice. The speakers for this workshop are Rakesh Vohra, Michael Kearns, Samira Samadi, Steven Wu, and Suresh Venkatasubramanian.

This workshop is part of the Northwestern Quarterly Theory Workshop series that brings in theoretical computer science experts to present their perspective and research on a common theme. This particular workshop is co-organized by the IDEAL institute, as part of the IDEAL Special Quarter on Data Science and Law.

2020 Northwestern CS Junior Theorists Workshop

December 17-18, 2020
Virtual on gather.town and zoom
https://theory.cs.northwestern.edu/events/2020-junior-theorists-workshop/

The 2020 Junior Theorists Workshop is part of the Northwestern CS Quarterly Theory Workshop Series. The focus of this workshop will be on showcasing junior researchers in all areas of theoretical computer science. The event will be held online from December 17 to 18 (Thursday to Friday), roughly from 10am to 5pm central time.

This year we have 14 excellent speakers, each delivering a 30 minutes talk. After each hour-long session, there will be an informal poster session intended for Q&A discussion on gather.town. Full details are available on the workshop homepage.

Interested participants *must* register via the link on the workshop homepage and we will send the gather.town link before the event.

IDEAL Special Quarter (Theory of Deep Learning)

September 21 – December 12, 2020
Online (https://www.ideal.northwestern.edu/special-quarters/fall-2020/) https://www.ideal.northwestern.edu/special-quarters/fall-2020/registration

There will be a Special Quarter on Theory of Deep Learning this Fall as a part of IDEAL – The Institute for Data, Econometrics, Algorithms, and Learning, runs jointly with TTIC and the University of Chicago.

The Special Quarter will be entirely online, and take place inside a virtual space on the gather.town platform. All talks, discussions, meetings and other interactions will be inside this virtual space. To register for the special quarter, please complete the registration form below.

2020 Virtual Telluride Neuromorphic Cognition Engineering Workshop

July 27-31, 2020
Telluride CO (virtual)
https://sites.google.com/view/telluride2020/home

We are happy to announce a Virtual Telluride Neuromorphic Cognition Engineering Workshop 2020 (https://tellurideneuromorphic.org/) this year in replacement of our usual Workshop in Telluride. The workshop will take place from July 27 to July 31 (8am to 10am PDT, or 17:00 to 19:00 CET).

The format will be a week of lectures and tutorials on current topics in neuromorphic engineering (two hours per day) followed by four hands-on, collaborative challenges which will be carried out in the month of August. The results of the challenges will be presented on September 10 and 11, 2020.

The workshop is free to attend and is open to everyone upon registration.

International Conference on Neuromorphic Systems

July 28-30, 2020
Oak Ridge National Laboratory (virtual)
https://icons.ornl.gov

ICONS 2020 will be held as a virtual conference. The goal of this conference is to bring together leading researchers in neuromorphic computing to present new research, develop new collaborations, and provide a forum to publish work in this area. Our focus will be on architectures, models, and applications of neuromorphic systems.

Neuromorphic Computing: Opportunities, Challenges, and Perspectives

July 19, 2020
Virtual
https://teuscher-lab.com/dac2020_neuromorphic_workshop/program/

The objective of this workshop is to bring together researchers from multiple disciplines, ranging from physical to biological sciences, to discuss the most promising approaches and overarching goals of neuromorphic computing technologies and paradigms that have the potential to drastically improve conventional approaches. The neuromorphic computing workshop aims to establish a forum to discuss current practices; future research needs; and new principles and tradeoffs across the entire neuromorphic information processing stack with the goal to apply them holistically to future machine learning systems.