Marek S. Tatara

20 posts

Marek S. Tatara

Marek S. Tatara

@mstatara

PhD in Automatic Control & Robotics, Embedded Systems & IoT R&D, Mathematical Modeling Enthusiast

Gdańsk, Polska เข้าร่วม Mart 2020
39 กำลังติดตาม8 ผู้ติดตาม
Marek S. Tatara รีทวีตแล้ว
Przemek Szleter
Przemek Szleter@pszleter·
Are you looking for a new job? The @meetDAC will be the perfect place for you. Anyway, the results of the Pangea.ai study prove it. DAC employees love the peer rapport (9.4/10,0), well-being (9.0/10.0), and personal growth (8.9/10.0) 💪 pangea.ai/company-spotli…
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Marek S. Tatara
Marek S. Tatara@mstatara·
Check out my latest paper helping with selection of numerical parameters for pipeline flow simulation: Analytical ‘steady-state’-based derivation and clarification of the co... sciencedirect.com/science/articl…
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Marek S. Tatara รีทวีตแล้ว
Przemek Szleter
Przemek Szleter@pszleter·
#Blockchain #technology can help to understand and price risks better by allowing information to be shared more quickly and securely across parties in the insurance ecosystem. It creates a trust layer that adds security and the ability to establish trust between entities.
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Marek S. Tatara รีทวีตแล้ว
DAC.digital
DAC.digital@meetDAC·
The Final Demo session of @OdysseyMomentum #hackathon is officially over for our track! We've presented a fully working prototype with #hardware components and #blockchain implementation. Keep your fingers crossed for our team as the Jury is already deliberating🤞
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Marek S. Tatara รีทวีตแล้ว
AerIn
AerIn@aerinykim·
Are you a PhD student or an independent researcher who is working on creating a dataset? @scale_ai will sponsor promising dataset creation projects that can widely benefit a community. Please DM me for details.
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Marek S. Tatara รีทวีตแล้ว
David Berardo, PhD
David Berardo, PhD@SarlCagan93·
You can measure the speed of light at home using just a microwave and a bar of chocolate!
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Marek S. Tatara รีทวีตแล้ว
radecki.eth
radecki.eth@K_Radecki·
Only a couple of weeks ago @OVioHQ linked us up with team #Hyperledger. Now we’re proud to be part of #HyperledgerIoT with part 1 of our wiki contribution already online. Stay tuned - part two is coming soon
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Russell Kaplan
Russell Kaplan@russelljkaplan·
One weird trick for better neural nets: 𝗽𝗼𝘀𝗶𝘁𝗶𝗼𝗻𝗮𝗹 𝗲𝗻𝗰𝗼𝗱𝗶𝗻𝗴𝘀. To model high freq data, instead of scalar input x, use [sin(πx), cos(πx), ... sin((2^N)πx), cos((2^N)πx)]. Used in Transformers and now neural rendering[1]. What a diff. [1] matthewtancik.com/nerf
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