D-Day – landing in Normandy in 1944, Colossus and Cryptography

D-Day – landing in Normandy in 1944. was possible thanks to information obtained by cryptologists. The construction of the ciphertext decoding machine from the Lorenz machine by the Tutte team, (which the Allies have never seen before) is considered one of the greatest intellectual achievements of World War II. It made it possible to build […]

Read More D-Day – landing in Normandy in 1944, Colossus and Cryptography
October 11th, 2019

Why does Apple logo presents get bitten apple?

Why does Apple logo presents apple get bitten?   Not so long ago, reading about Alan Turing, I drew attention to a monument depicting him as holding an apple – this is the encrypted information “Turing – the creator of computer science”. Intuitively, immediately my thought turned to the Apple logo representing the same fruit […]

Read More Why does Apple logo presents get bitten apple?
October 11th, 2019

[Solved]: Deep Learning of Darknet on GPU and error “CUDA Error: invalid device ordinal darknet: ./src/cuda.c:36: check_error: Assertion `0′ failed.”

When You after compilation darknet with GPU=1 option You  received error during execution darknet command like below: CUDA Error: invalid device ordinal darknet: ./src/cuda.c:36: check_error: Assertion `0′ failed. Abandon (core dumped) that means that You compiled sources with invalid arch attribute. For instance existing configuration: for RTX 2080 TI Dual is incorrect and destination valid […]

Read More [Solved]: Deep Learning of Darknet on GPU and error “CUDA Error: invalid device ordinal darknet: ./src/cuda.c:36: check_error: Assertion `0′ failed.”

prof. Edward Thorp: Beating The Market and Casinos With Mathematics

An interview and Q&A with mathematician and hedge fund manager, Edward Thorp. In this interview Edward discusses his life and becoming successful at gambling and investing. Edward also talks about meeting Warren Buffett, Kenneth Griffin and Bernie Madoff. As a hedge fund manager for 30 years, prof Thorp has achieved the unprecedented 20% return per […]

Read More prof. Edward Thorp: Beating The Market and Casinos With Mathematics
October 4th, 2019

James Simons, The Richest Mathematician In The World

Have you ever heard about James Simons? Last year, this hedge fund magnate did make US$194,000, but in term of an hour. Well, it’s actually not surprising when his wealth reportedly reaches at a whopping US$21.5 billion in March 2019. For your information, James Simons is considered as the smartest billionaire as well as the […]

Read More James Simons, The Richest Mathematician In The World
September 5th, 2019

[Solved] Microsoft Azure: Alternative for database.SqlQuery() from Entity Framework 6.x for Entity Framework Core

In case of Azure Web Jobs or Azure Functions  when You try to find  alternative for database.SqlQuery<T>() from Entity Framework  for Entity Framework Core (equivalent doesn’t exists ) You can use presented below solution  in C#. Solution tested and works very good in practice on production environments. Let’s say that we want use below code […]

Read More [Solved] Microsoft Azure: Alternative for database.SqlQuery() from Entity Framework 6.x for Entity Framework Core
August 9th, 2019

TensorFlow Extended (TFX): Machine Learning Pipelines and Model Understanding (Google I/O’19)

This talk will focus on creating a production machine learning pipeline using TFX. Using TFX developers can implement machine learning pipelines capable of processing large datasets for both modeling and inference. In addition to data wrangling and feature engineering over large datasets, TFX enables detailed model analysis and versioning. The talk will focus on implementing […]

Read More TensorFlow Extended (TFX): Machine Learning Pipelines and Model Understanding (Google I/O’19)
June 28th, 2019

Google: The Anatomy of a Production-Scale Continuously-Training Machine Learning Platform

Creating and maintaining a platform for reliably producing and deploying machine learning models requires careful orchestration of many components—-a learner for generating models based on training data, modules for analyzing and validating both data as well as models, and finally infrastructure for serving models in production. This becomes particularly challenging when data changes over time […]

Read More Google: The Anatomy of a Production-Scale Continuously-Training Machine Learning Platform
June 28th, 2019

prof. Stanislaw Ulam i jego prace nad bomba atomowa oraz wodowora

Ulam studiował flzykę pod kierunkiem największych naukowców swoich czasow. Uczeni, którzy zgromadzili się podczas II wojny swiatowej w Los Alamos, należeli do grona czołowych postaci fizyki wspolczesnej. Hans Bethe, Niels Bohr, Enrico Fermi Richard Feynman, Ernest Lawrence, J. Robert Oppenheimer i wielu innych tworzyli zespół, który pod względem potencjalu intelektualnego nie miał sobie równych w […]

Read More prof. Stanislaw Ulam i jego prace nad bomba atomowa oraz wodowora
March 3rd, 2019