Latest news and updates from DSML Kazakhstan community
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Higgsfield AI recently became Kazakhstan's first unicorn with a valuation above $1 billion. Everyone has probably heard the news, as this is a major event not only for the AI community but for Kazakhstan as a whole.
We simply want to congratulate the Higgsfield team as friends and celebrate their success. Yerzat @rlprompt is a long-standing member of our community and an example of how one person can drive an industry. It is wonderful to see Higgsfield discussed everywhere as the company grows so rapidly!
Today is a good occasion to revisit Yerzat's vision from one of our meetups in 2018, long before the widespread AI hype: https://youtu.be/l5V_UD5ouG0?si=zEi0rH3ucBHqU6s0
Causal Representation Learning from Multiple Distributions: A General Setting. In many problems, measured variables are functions of latent causal variables such as underlying concepts or objects. Recovering these latent variables and their causal relationships helps make predictions in changing environments and apply appropriate changes to a system. This is known as causal representation learning. The paper studies a general, fully nonparametric setting with multiple distributions and does not assume that distribution changes come from hard interventions.
At the meeting, we will discuss:
Kazakhstan debuted at the International Olympiad in Artificial Intelligence and placed fourth in the team standings.
The national team's top performer was ninth-grader Abu Kanabek, who won gold and placed ninth individually among school students worldwide. His example shows that you can begin developing in ML and AI before university.
In a long-form interview with our community, we discussed his path to victory, lessons from the olympiad, the balance of theory and practice needed for success, how he will prepare for the next olympiad, and his wishes for our community's enthusiasts.
As always, we hope you will share the interview widely if you share our values of mutual support and self-development.
We want to create the DSML KZ Research Hub, bringing together AI and ML researchers with Central Asian roots whether they are in Almaty, Silicon Valley, or anywhere else in the world.
Whether you are a PhD student in Tashkent, a researcher at Google, or a professor in Bishkek, if you have ties to Central Asia, work in AI/ML, and have at least one or two research publications in AI, optimization, machine learning, or a related field, we warmly invite you to complete our form.
Only a few days remain before the next season, so we would like to congratulate last season's winners. It is not an AI olympiad, of course, but these are very respected people too 🤣
DSML Classic League winners: 🥇 Zhanibek Teams — Zhanibek Darzhanov; 🥈 Get Lucky — Ospan Smagul; 🥉 LiverpoolAli — Alibek Zhakubayev
DSML Head-to-Head League winners: 🥇 Sneddy — Anuar Aimoldin; 🥈 LiverpoolAli — Alibek Zhakubayev; 🥉 Get Lucky — Ospan Smagul
League Cup winner: 🥇 MakeShymGreatAgain — Daniyar Tule
League Cup finalist: 🥈 flylikeagakpo — Yelaman Serik
Congratulations to the winners, and join our fantasy leagues for the new season.
