View source for TTA:AI Overview

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{{portal header
 | title     = AI and TTA Assistant Overview 
 | notes     = | notes     = &nbsp;&nbsp;This is an experimental feature that aims to test artificial intelligence applied to our archive. &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[[TTA:Artificial_Intelligence | The TTA's AI]] &nbsp;&nbsp;&nbsp;&nbsp;&nbsp; - &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[[TTA:Business Model | Business model]] &nbsp;&nbsp;&nbsp;&nbsp;&nbsp; - &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[[TTA:Crowdfunding_campaign |Donate]]
[[File:Talking-2.png|50px|link=|The Traditional Tune Archive's Assistant]] ''What I am, and what I'm not'' 
}}

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= What AI is for =
* '''AI automates repetitive learning and discovery through data.''' Instead of automating manual tasks, AI performs frequent, high-volume, computerized tasks. And it does so reliably and without fatigue. Of course, humans are still essential to set up the system and ask the right questions.

* '''AI adds intelligence to existing products.''' Many products you already use will be improved with AI capabilities, much like assistants was added as a feature to a new generation of products. Automation, conversational platforms, bots and smart machines can be combined with large amounts of data to improve many technologies. Upgrades at home and in the workplace, range from security intelligence and smart cams to investment analysis.

* '''AI adapts through progressive learning algorithms to let the data do the programming.''' AI finds structure and regularities in data so that algorithms can acquire skills. Just as an algorithm can teach itself to play chess, it can teach itself what product to recommend next online. And the models adapt when given new data. 

* '''AI analyzes more and deeper data using neural networks that have many hidden layers.''' Building a fraud detection system with five hidden layers used to be impossible. All that has changed with incredible computer power and big data. You need lots of data to train deep learning models because they learn directly from the data. 

* '''AI achieves incredible accuracy through deep neural networks.''' For example, your interactions with Google are all based on deep learning. And these products keep getting more accurate the more you use them. In the medical field, AI techniques from deep learning and object recognition can now be used to pinpoint cancer on medical images with improved accuracy.

* '''AI gets the most out of data.''' When algorithms are self-learning, the data itself is an asset. The answers are in the data – you just have to apply AI to find them. With this tight relationship between data and AI, your data becomes more important than ever. If you have the best data in a competitive industry, even if everyone is applying similar techniques, the best data will win. But using that data to innovate responsibly requires trustworthy AI. And that means your AI systems should be ethical, equitable and sustainable.

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<pre>
To put it simply, the capacity of technology to do abstraction, logic, understanding, learning, planning, creativity, critical thinking, problem-solving, and others without the intervention of humans, is AI.  

So, What is not AI? 

Technologies that need humans to operate, make decisions, and control the functionalities are not AI. Such technology works on algorithms only. AI can learn from its experience, but non-AI technology couldn’t improvise itself. 
</pre>
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| text      = AI is not like squeezing water from a stone.
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== AI at TTA is in the form of an Assistant== 

<div class="center" style="width:auto; margin-left:auto; margin-right:auto;">
'''The Traditional Tune Archive's Companion.'''{{break}}
</div>

We trained our Assistant to learn everything there is to know about TTA: what tunes are archived, their history, who composed them, where they came from, what is the relationship that binds some of them, the musical notation (ABC) in which they are archived, and everything that can be found in our archive.

So, now, if you wanted to, you could have a one-to-one conversation with the TTA's Companion and find out things that the simple traditional search (the search bar at the top of each page) does not allow.

Here's a very basic use case scenario:

'''User''': Tell me something about the tune Mo Ghile Mear{{break}}
[[File:Talking-2.png|50px|link=|left|The Traditional Tune Archive's Assistant]]: ''"Mo Ghile Mear" is an Irish traditional tune known by several names, including "My Gallant Darling" and "Will ye no' come back again?" It is a slow march or air in 4/4 time, originating from Ireland, specifically West Kerry, and is set in the key of G Major. The tune is traditionally played with standard tuning on the fiddle and is structured in one part (Ó Canainn) or AB form (Mac Amhlaoibh & Durham, Tubridy, Vallely).''


'''User:''' When and in whose honor this tune was played?{{break}}
[[File:Talking-2.png|50px|link=|left|The Traditional Tune Archive's Assistant]] ''The tune "Mo Ghile Mear" was played at the funeral of Seán Ó Riada, who was buried in the little church in Cúil Aodha on October 3rd, 1971. Seán Ó Riada was a pivotal figure in the revival of Irish traditional music in the mid-20th century and was the founder of Ceoltóirí Cualann, the group from which The Chieftains developed.''


'''User:''' Show me the ABC notation for the tune named Will ye no' come back again{{break}}
[[File:Talking-2.png|50px|link=|left|The Traditional Tune Archive's Assistant]] ''Here is the ABC notation for the tune "Will ye no' come back again?":''

<pre>

T:Will ye no' come back again?
M:3/4
L:1/4
O:Scotland
K:G
P:A
G2 B|A2 G|E2 G|D3|d2 e|d2 B|BAG|A3|\
B2 B|A2 G|E>G E|D3|e e e|d2 B|cBA|G3||
P:B
B2 d|d2 e|B2 d|d3|g2 f|e2 d|e d B|A3|\
B2 B|A2 G|E2 G|D3|e e e|d2 B|cBA|G3|
</pre>
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This tune is also known as "Bonnie Charlie's Gone Awa'" and "Mo Ghile Mear".


'''User:''' Do you see any similarities there with Mo Ghile Mear?{{break}}
[[File:Talking-2.png|50px|link=|left|The Traditional Tune Archive's Assistant]] ''Yes, there are similarities between "Will ye no' come back again?" and "Mo Ghile Mear." Both tunes share thematic elements and are often associated with themes of longing and departure. The structure and melodic lines in both tunes may reflect similar emotional expressions, despite any differences in rhythm or specific musical phrases. Additionally, they both have historical and cultural significance, often being played in contexts that honor or remember individuals or events significant to Irish and Scottish heritage. If you are interested in a more detailed musical analysis comparing the two, examining their melodies and structures side by side could provide further insights into their similarities.''


'''User:''' Can you do this side by side examination for me?{{break}}
[[File:Talking-2.png|50px|link=|left|The Traditional Tune Archive's Assistant]] ''Let's compare the ABC notations for "Mo Ghile Mear" and "Will ye no' come back again?" side by side to identify similarities:''

== Mo Ghile Mear: ==
<pre>

T:Mo Ghile Mear
M:4/4
L:1/8
C:Traditional
B:A Stór 's a Stórín
Z:Transcribed by Martin Wanicki
K:G
%Verse 1 and chorus:
D3DD2DE|G2A2B4|c2BAB2A2|G3ED4|
G3FE2D2|G2GAB3c|d3ed2B2|A3GG4||
%Other Verses:
B2d2d2B2|A2G2G3A|B2d2d2B2|A2G2A3A|
B2d2d2B2|A2G2G2AB|c2BAB3A|G2E2D4||
</pre>


== Will ye no' come back again?:==
<pre>

T:Will ye no' come back again?
M:3/4
L:1/4
O:Scotland
K:G
P:A
G2 B|A2 G|E2 G|D3|d2 e|d2 B|BAG|A3|\
B2 B|A2 G|E>G E|D3|e e e|d2 B|cBA|G3||
P:B
B2 d|d2 e|B2 d|d3|g2 f|e2 d|e d B|A3|\
B2 B|A2 G|E2 G|D3|e e e|d2 B|cBA|G3|
</pre>

''- **Similarities:**

- **Key**: Both tunes are in the key of G major.
- **Themes**: Both tunes share thematic elements of longing and reflection, often associated with historical or cultural sentiments.
- **Melodic Structure**: While the rhythms differ (4/4 for "Mo Ghile Mear" and 3/4 for "Will ye no' come back again?"), both tunes feature similar melodic contours and phrasing patterns, reflecting their shared cultural roots.

- **Differences:**

- **Meter**: "Mo Ghile Mear" is in 4/4 time, while "Will ye no' come back again?" is in 3/4 time.
- **Length of Phrases**: "Mo Ghile Mear" has longer phrases due to its 4/4 meter, while "Will ye no' come back again?" has shorter, more compact phrases typical of 3/4 time.
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These similarities and differences highlight how traditional tunes can share thematic and melodic elements while differing in rhythm and structure.
''