Recent Changes
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- RISC Forum Mar 24, 2025 from 01:30 PM to 02:30 PM
- Nikolaj Popov: TBA
- RISC Forum Mar 17, 2025 from 01:30 PM to 01:45 PM
- Nikolai Fadeev: internal PhD Defense (talk)
- 2025: Summer Semester
- NO RISC Forum Jun 09, 2025 from 01:30 PM to 01:45 PM
- Holiday
- FIRST AID COURSE May 05, 2025 from 01:00 PM to 05:00 PM
- First Aid Course at RISC
- NO RISC Forum Apr 21, 2025 from 01:30 PM to 01:45 PM
- Easter-Holiday
- NO RISC Forum (lecture free) Apr 14, 2025 from 01:30 PM to 01:45 PM
- FIRST AID COURSE Mar 10, 2025 from 01:00 PM to 05:00 PM
- First Aid Course at RISC
- RISC-Forum Mar 03, 2025 from 01:30 PM to 01:45 PM
- Carsten Schneider: Organizational Items
- RISC Forum Jan 27, 2025 from 01:30 PM to 01:45 PM
- Nikolaj Fadeev: Binomial sums, integrals and asymptotics
- RISC Forum Nov 04, 2024 from 01:30 PM to 01:45 PM
- Silviu Radu: Rational upper and lower bounds for evaluations of the j-invariant
- RISC Forum Nov 18, 2024 from 01:30 PM to 01:45 PM
- Temur Kutsia: The Good, the Bad and the Ugly: An ugly way to separate good from bad
- RISC Forum Dec 09, 2024 from 01:30 PM to 01:45 PM
- Jakob Obrovsky: D'Alembertian solutions for coupled recurrence systems
- RISC Forum Jan 20, 2025 from 01:30 PM to 01:45 PM
- Wolfgang Windsteiger: Digital Elections (@JKU)
- RISC Forum Dec 16, 2024 from 01:30 PM to 02:30 PM
- Prof. Gennadi Malaschonok (National University of Kyiv-Mohyla Academy): Main features of computer algebra MathPartner (via Zoom)
- NO RISC Forum Dec 02, 2024 from 01:30 PM to 01:45 PM
- RISC Forum Oct 21, 2024 from 01:30 PM to 01:45 PM
- Wolfgang Schreiner: The Machine Learning Problem
- RISC Forum Oct 28, 2024 from 01:30 PM to 02:30 PM
- Thaynara Arielly de Lima (Universidade Federal de Goiás - Brazil): Formalization of a General Theory of Quaternions and Applications
- RISC Forum Nov 11, 2024 from 01:30 PM to 01:45 PM
- Josef Schicho: Special Semester
- RISC Forum Sep 30, 2024 from 01:30 PM to 04:30 PM — RISC,
- Markus Steindl and Evans Doe Ocansey: Advanced Machine Learning Workshop: From Theory to Practice with Neural Networks