 So my name is Dao, I come from Aval research, Aval advisory, so first of all if my voice seems a little shaky please note that it's because of you know the cold atmosphere around here, it's not because I'm excited or anything, yeah but for some reason every time I come to give a speech, yeah so it's cold. So I come from Aval research, Aval research is a company we're doing research in Thailand about financial stuff but mostly the thing is our goal is not just limited to finance, we want to improve our country, we want to do something good for Thailand and that's why we start new projects apart from finance which is Vulcan, Vulcan is a project we want to bring the disabled people to come into data science stuff, we want to use their special ability like the blind who we realize that they should have the ability to hear better than other people or you know you can imagine a lot of stuff and we use them to label data for us for training the AI or anything useful for business, that's why we start with a little amount of people we have and try to build something useful from it. Apart from Vulcan we also have another project which is called just for Paul, it's a project that we want to track the movement of dogs or cats in our shelters because we want to know their behavior and stuff and something like that this is kind of like the global idea of what research we are doing in Avar so we use a lot of open sources, why do we use a lot of open source? Is it good? Apart from being free, yes of course open source is free right because we have everything but the thing is we use open source stuff because it's transparent, we don't want everything we develop to contain you know flaws or bugs and when we deliver things to customers we don't want it to you know explode in their faces and damage our reputation that's why because open source we can analyze, we can take a look at the code and scrutinize until we make sure that everything is you know work in our scope of work our desired scope that's why that's the major reason why we think the open source stuff is very good and one you know PyTorch is a thing we use also to tend to flow with other Python ecosystem and and also the Cassandra and Haru and stuff a lot of things but the thing is the greatest open sort of all perhaps is mathematics right mathematics is the open source we have code we have theory we have everything the thing is in in 19th century that it started at the beginning of 19th century we everyone knows David Hubert he's a very very famous mathematicians of of all time we can say that David Hubert has a dream the dream to prove that every mathematic theory every axioms contains whether it's we contain paradox something that mathematicians mathematicians that's like at all paradox who kind of like a box of flow in in in program it can explode if we develop a lot of theory and then explore then this those those things that we work will become useless so that's why David Hubert tried to make sure that everything has no can be proved can be has no box has no flow but he's telling us that he can thanks to the efforts of Alan Sochert Godot Kurt and and Alan Turing who invented whose theory they've invented computer we we now know and use today but the thing is because we can prove that's mean we must realize on the community to to to verify everything that we work that's why I think the idea of developing open source kind of like align with the goals mathematics to to open to every other people um that is why I think the goals of the the only way for open source stuff to to become larger to to gain more people is for us to use it to adopt it to take care of it to mature until it's mature and then release it back to the community we give it back to the society that I think that's the only way that open source stuff like mathematics pytos tender for everything can truly emerging as one with proven and and for for improving our our way of life for humanities and for the rest of the world thank you just just you know rambling I have nothing to say much so I know it's going to be hard for asking question here but I will be willing to answer anything thank you yes sure um for the blind people we want um we want the AI that we want to train is a take-to-speech we want you know in Thai even though in in English everything is good we have model intake from um google webnet and stuff and running for the work but the thing is to train take-to-speech in Thai that's very hard because we don't have much data the data we have is just you know like most of them is customer stuff feedback some some complaints some um something like compliment something like that but we want more we want to train the take-to-speech to to to read the books or even go for a text book but but those things because the data are not like aligned they are not from the data that we have so that's why that's why it's very very hard to train the take-to-speech in Thai and that's why we have to gather we have to to accumulate gather data from from from scratch and and I think using the blind people who who who and who their entire lives live in the world of darkness who who has to only use ear to to navigate around the world to understand the thing stuff to perceive the world as they are that's why I think they must have some some kind of perspective sharper keener perspective than the rest of us that's why if we take the current state as they are right now and combine them use their power to train the AI to to process the data for us they will give us a AI that is very strong very accurate and be able to you know that's a part as a part of project is that we want to bring opens let the blind come come back to the community that is the idea thank you