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The annual Alem Cup 2023 programming championship began on September 8. It is organized by alem school with support from the Astana Hub international technology park. Participants compete for cash prizes by creating bots that battle other players in a computer game. People of any age and background can take part.
The prize pool is:
Your code will run every 15 minutes against code from participants at a similar skill level. A win adds ranking points and a loss removes them. A new ranking is formed after each round of arena games. The three highest-ranked players advance to the final.
Supported programming languages: Python, C++, JS, Go, Pascal, Java, PHP, C, C#, Ruby, Kotlin, Blockly.
The championship runs until October 12.
The 24th International Conference on Digital Signal Processing (DSP2023) took place in Greece this summer, featuring papers on digital signal processing and machine learning. DSML KZ members Zangar Yermaganbet @goofymonarch and @Ayana_Mussabayeva, together with NU professors, presented a paper on a double-input CNN used in spelling systems for people with amyotrophic lateral sclerosis.
A P300 Speller flashes symbols on a screen. When the user sees the symbol they want to type light up, it is treated as the target response. The task becomes binary classification: either the signal is a target and the user wants to type the highlighted symbol, or it is not.
The authors generate two types of spectrograms from EEG brain signals using independent component analysis and the Fourier transform, then pass the spectrograms through a double-input CNN.
The reported results show that the method is more effective than classical classifiers used in BCI systems, such as SVM and LDA.
The full paper is openly available on ResearchGate.
Source: arxiv.org/abs/1706.03762
September 3, 18:00. Venue: Jimmy Yamazaki's stream at twitch.tv/yamazakij
Speaker: Jimmy Yamazaki
About the talk: We will examine the paper and its mechanisms in detail, try to understand how and why attention works, dive deep into transformer architecture, write code, and even train models on small datasets. You can ask questions throughout the talk, and the speaker will be happy to answer them.
Participation is free.
Verigram's algorithm received NIST's highest rating in the 1:N Identification category, which matches one face against many. The algorithm can instantly find facial matches in databases containing millions of records.
Verigram's solution was evaluated on a database of 12 million photographs.
NIST, the National Institute of Standards and Technology, is an agency of the U.S. Department of Commerce responsible for developing and maintaining standards across a broad range of technology fields. The NIST Face Recognition Vendor Test (FRVT) is considered the most authoritative benchmark for recognition algorithms.
