Appunti.md

<div id="table-of-contents">
<h2>Table of Contents</h2>
<div id="text-table-of-contents">
<ul>
<li><a href="#org830da79">1. Papers and software</a>
<ul>
<li><a href="#org79deb16">1.1. AmpLab</a>
<ul>
<li><a href="#org309ed88">1.1.1. Akaros operating system</a></li>
</ul>
</li>
<li><a href="#org8ac88c8">1.2. DeepMind</a></li>
<li><a href="#org063392f">1.3. Medium.com</a>
<ul>
<li><a href="#org5faac7b">1.3.1. Great data set car drive</a></li>
</ul>
</li>
<li><a href="#orgbfa160e">1.4. OpenAi Gym for practice</a></li>
<li><a href="#org7ada64d">1.5. AI Experiments</a>
<ul>
<li><a href="#org06fef0f">1.5.1. Google machine learning opensource platform</a></li>
</ul>
</li>
</ul>
</li>
<li><a href="#org758b107">2. Microsoft concept Graph** Conceptualization through machine learning</a>
<ul>
<li>
<ul>
<li><a href="#orgc886b53">2.0.1. Microsoft concept tagging model</a></li>
</ul>
</li>
</ul>
</li>
<li><a href="#org1e9ff81">3. Artificial swarm intelligence</a>
<ul>
<li><a href="#org485f9e8">3.1. Animals think better together</a></li>
</ul>
</li>
<li><a href="#org289b913">4. Faster Fibonacci</a>
<ul>
<li><a href="#org7b0a2c9">4.1. fast algorithm with karatsuba multiplication</a></li>
</ul>
</li>
<li><a href="#orgef424ec">5. BlockChain</a>
<ul>
<li><a href="#org5545c84">5.1. HyperLedger project</a></li>
<li><a href="#org7dd54b8">5.2. Ethereum</a>
<ul>
<li><a href="#org61afe66">5.2.1. Smart Contracts</a></li>
</ul>
</li>
</ul>
</li>
<li><a href="#org6b7db4a">6. Big Data Analytics</a>
<ul>
<li><a href="#org6dd35fb">6.1. Julia programming language</a></li>
<li><a href="#org0136c41">6.2. Rust programming language better performance than C++ in machine learning</a>
<ul>
<li><a href="#org7433c66">6.2.1. Missing NumPy or similar</a></li>
</ul>
</li>
<li><a href="#orgd9123b3">6.3. Julia programming language</a></li>
<li><a href="#org5b3f31f">6.4. Rust programming language better performance than C++ in machine learning</a>
<ul>
<li><a href="#orge3c9bf5">6.4.1. Missing NumPy or similar</a></li>
</ul>
</li>
</ul>
</li>
<li><a href="#org7e1947a">7. Avanguardie artistiche</a>
<ul>
<li><a href="#org5da7370">7.1. Gauguin</a>
<ul>
<li><a href="#orgfda3aa5">7.1.1. Arte come caricatura, nel vero senso del termine, del reale, se un albero è verde prendi il più bel verde dalla tua tavolozza</a></li>
</ul>
</li>
<li><a href="#orge9f9dee">7.2. Vlaminck</a>
<ul>
<li><a href="#orge2f2ad4">7.2.1. Prendere la via percorsa dalla folla al contrario &#x2013;&gt; Prendere la via percorsa dalla follia al contrario</a></li>
</ul>
</li>
</ul>
</li>
</ul>
</div>
</div>


<a id="org830da79"></a>

# Papers and software


<a id="org79deb16"></a>

## AmpLab


<a id="org309ed88"></a>

### Akaros operating system


<a id="org8ac88c8"></a>

## DeepMind


<a id="org063392f"></a>

## Medium.com


<a id="org5faac7b"></a>

### Great data set car drive


<a id="orgbfa160e"></a>

## OpenAi Gym for practice


<a id="org7ada64d"></a>

## AI Experiments


<a id="org06fef0f"></a>

### Google machine learning opensource platform


<a id="org758b107"></a>

# Microsoft concept Graph\*\* Conceptualization through machine learning


<a id="orgc886b53"></a>

### Microsoft concept tagging model

1.  Choosing the best tag (neither too specific nor too vague)


<a id="org1e9ff81"></a>

# Artificial swarm intelligence


<a id="org485f9e8"></a>

## Animals think better together


<a id="org289b913"></a>

# Faster Fibonacci


<a id="org7b0a2c9"></a>

## fast algorithm with karatsuba multiplication


<a id="orgef424ec"></a>

# BlockChain


<a id="org5545c84"></a>

## HyperLedger project


<a id="org7dd54b8"></a>

## Ethereum


<a id="org61afe66"></a>

### Smart Contracts


<a id="org6b7db4a"></a>

# Big Data Analytics


<a id="org6dd35fb"></a>

## Julia programming language


<a id="org0136c41"></a>

## Rust programming language better performance than C++ in machine learning


<a id="org7433c66"></a>

### Missing NumPy or similar

1.  ndarray is the only important one


<a id="orgd9123b3"></a>

## Julia programming language


<a id="org5b3f31f"></a>

## Rust programming language better performance than C++ in machine learning


<a id="orge3c9bf5"></a>

### Missing NumPy or similar

1.  ndarray is the only important one


<a id="org7e1947a"></a>

# Avanguardie artistiche


<a id="org5da7370"></a>

## Gauguin


<a id="orgfda3aa5"></a>

### Arte come caricatura, nel vero senso del termine, del reale, se un albero è verde prendi il più bel verde dalla tua tavolozza

1.  Fauves


<a id="orge9f9dee"></a>

## Vlaminck


<a id="orge2f2ad4"></a>

### Prendere la via percorsa dalla folla al contrario &#x2013;> Prendere la via percorsa dalla follia al contrario

<table id="org26f2b8d" border="2" cellspacing="0" cellpadding="6" rules="groups" frame="hsides">
<caption class="t-above"><span class="table-number">Table 1:</span> Average yields and average income, by State, India</caption>

<colgroup>
<col  class="org-left" />

<col  class="org-left" />

<col  class="org-left" />

<col  class="org-left" />
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<thead>
<tr>
<th scope="col" class="org-left">Name</th>
<th scope="col" class="org-left">Phone</th>
<th scope="col" class="org-left">&#xa0;</th>
<th scope="col" class="org-left">&#xa0;</th>
</tr>
</thead>

<tbody>
<tr>
<td class="org-left">&#xa0;</td>
<td class="org-left">&#xa0;</td>
<td class="org-left">&#xa0;</td>
<td class="org-left">&#xa0;</td>
</tr>
</tbody>

<tbody>
<tr>
<td class="org-left">&#xa0;</td>
<td class="org-left">&#xa0;</td>
<td class="org-left">&#xa0;</td>
<td class="org-left">&#xa0;</td>
</tr>
</tbody>
</table>