A journey through the network - Hands on (Part 1)

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Prelude A long long time ago (I can still remember as Madonna sang) I started to wrote some posts about the network. For those who missed the previous posts, you can read the introduction, the physycal layer and the datalink layer respectively. As a main source I use Computer Networks and TCP/IP Illustrated. In the previous posts I had to go into details about how some parts of the physical layer works but - by going forward through the layers - concepts belonging to separate historical standards - OSI and IP - will intertwine and this entails some troubles from a logical point of view.


Security and Docker: tips and tricks

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Introduction Everyone use Docker and normally when something is so diffused, there’s always someone else that try to figure out how to leverage the diffusion to do bad things (you know what happened in Breaking Bad). Only a few months ago it happened that someone pushed some malicious software - cryptomining - over lot of images: this happened because, despite the fact that everyone use Docker, not so many people are really aware about security over Docker.


The Deutsch Algorithm

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Much more than a post (again) What is the quantum theory? As said by quantumexperience official site by IBM, it's an elegant mathematical theory able to explain the counterintuitive behavior of subatomic particles, most notably the phenomenon of entanglement. In the late twentieth century it was discovered that quantum theory applies not only to atoms and molecules, but to bits and logic operations in a computer. This realization has been bringing about a revolution in the science and technology of information processing: I decided to write some notes to better explain, from a physics-agnostic computer scientist's point of view XD, what I understood - and it is certainly wrong - about Q until now and why I think it's an amazing field for computer science.


Machine Learning is useless

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Preamble I would like to say “recently”, but actually is almost a few years I heard - and I’m still hearing a lot about Machine Learning and I didn’t want to believe it until now - believe me, I truly didn’t want to believe it - but yes here we are Machine Learning ufficially replace Big Data as buzzy word of the this past years, most problably will be still the word of the next year and I could not be more sad, frustrated, and worried about.


How my Elman network learnt to count

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Introduction This is actually a sort of back-to-the-future post because it’s related to something I completed one year ago: I built this Elman network and it learnt to count. What I shame, I forgot it, now it’s kind of its first birthday so let’s celebrate :D This is Elman, the best in class in adding int32 numbers. For everybody who already knows what I will talk about (what?!), here’s the Github repo.


ACT-R by John R. Anderson - Part II

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Introduction In my previous post I wrote about the cognitive architecture ACT-R, mainly putting together what I learnt by research over the topic. In this post, I would like to go more in depth about how ACT-R works, the concepts behind and try to provide my interpretation of some technical examples, regarding coding of the modeling and everything related. What really is ACT-R ACT-R is a production system theory that tries to explain human cognition by developing a model of the knowledge structures that underlie cognition.


ACT-R by John R. Anderson - Part I

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Introduction I've always been fascinated about cognitive systems and all the theories about them. Unfortunately, I never had the chance to actively work on a cognitive architecture: making experiments over these technologies is difficult because it's difficult to me even only think about some possible toyproblem to solve. So this article is more about the basics, or at least what I found interesting about the topic. ACT-R One of the most famous cognitive architecture is ACT-R: ACT-R a.


A Quantum Experience

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Much more than a post What is the quantum theory? As said by quantumexperience official site by IBM, it's an elegant mathematical theory able to explain the counterintuitive behavior of subatomic particles, most notably the phenomenon of entanglement. In the late twentieth century it was discovered that quantum theory applies not only to atoms and molecules, but to bits and logic operations in a computer. This realization has been bringing about a revolution in the science and technology of information processing: I decided to write some notes to better explain, from a physics-agnostic computer scientist's point of view XD, what I understood - and it is certainly wrong - about Q until now and why I think it's an amazing field for computer science.


A journey through the network - Layer 2

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A journey through the network - Layer 2 A month ago I started to wrote some posts about the network. For those who missed the previous posts, the introduction and the physycal layer. For the previous post I had to go into details about how some parts of the physical layer work but, by going forward with the layers, concepts belonging to separate historical standards - OSI and IP - will intertwine and this entails some troubles from a logical point of view.


Jails: confining the omnipotent root

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Preamble Recently I became nostalgic and fascinated with stuff from the past, so I decided to create a Vagrantfile to work with FreeBSD1. Why FreeBSD? Because as a developer, I really like Docker and I started looking in the past to find its historical birth: in fact, as a concept, Docker is no so recent as you think, and I think it exists also because of the works of some other bigs from 80', such as Poul-Henning Kamp2.