Thank you very much for having me. Thank you very much for having me. Thank you very much for having me. Sorry that I bring back your invitation at the beginning of this session. First of all, I would like to thank Melanie and the organization for letting me to say a few words about activities that are related with your school here. And I would try to introduce you with this activity and maybe give you some ideas for your future activities in a couple of minutes. I would also like to congratulate the faculty of science, ICTP and the regional center for making this event possible. My special compliments go to the relevant role of applicants because I personally with my team made more than 10 events with ICTP, but never in the ICTP calendar outside ICTP. In fact, the heavy ones, but not officially, that's really a hard task and this really very good job. Very much announced me as president of the Balkan Physics Union, what was right, but since first of September this year I'm former president of the Balkan Physics Union. However, I'm still exactly the director of the Southeast European Network of Radical and Mathematical Physics, which headquarters here at the Faculty of Science 2009. And it was still 2003. I would like to recall a few here in particular my older colleague professor. Thank you for coming and then wait. So I hope that I can start in a few minutes or two seconds. So well, in the meantime, I hope you see me and I think as well as I told I think I don't need the microphone to hear me. You have a, and you will have a great school here that's not about that. Somehow, I think that in particular we who are coming from reasonably small universities, small departments, etc. suffer from isolation and our PhD students are not very numerous, and they are somehow not in touch with the other institutions with other students of their age. During my stay in Munich in 2000, 2002 at Max Planck Institute and the University. I was witnessing and I take part in many network activities. So, having a professor Lewis West, a great scientist and great physicist, I think it doesn't work here if I think you have, or I can check here. We established this network in 2003, not far away from here. Works, okay. So here is the about you, you stressed some other guys. So the idea was to bridge in gap between Southeast and Western Europe. So the main line that this is a period about 2000 to 2000 feet. Fortunately, now we don't have the same problems and that, but many of them are still produced, as I said, it's a partialization and we are it's difficult to reach a critical mass or real or real work and really establish a good research groups. And here is the about the network, 23 institutions from 11 countries within part of the institution, more than 400 members and set main main main objectives and aims, I already told, this is the provider regional framework. In what. Very good. Support capacity building, etc, etc. I will try to speed up I hope that it will not be focused me and yourself. So our focus is on theoretical mathematical physics. And in fact, this is a very broad range and your school has also applied, but also very, very wide. So I think that in that we have something in common. There are networks, there were networks, there will be networks, but in our region, I think only our network still exists after almost 20 years, it's a very hard task. And if you will think about making something with that, you will see some of the problems. It's not easy, but it's not so difficult to get a real net. So we have in the moment 15 member knows and you see the order of the city mathematical institute is first and from the very big beginning is there with body with Dr. And I will not read the names and the cities and institutions here, but you can, but you should know that it's 12 countries, including some countries we have not seen it, but anyway, close and very well. Part of the institutions all over the world. And now I would like just to spend one or two minutes or something that maybe also to be used. So, this lack of the first of all, a lack of the students in Munich, or, I don't know, I see, you have 10s and 10s students and they make a very good group so sometimes they don't need really teachers or lectures, sometimes. But here it's something something else and I know, I don't know what it tells but maybe we will hear something about that later from my colleague dragon George which they make a PhD, what we want to do it's less formal. It is additional auxiliary PhD program for the students from the south. And I can say that somehow it was my idea is just partially we make it so to have two or three schools, pretty topical and make a cycle of three years for nine, eight or nine. Usually we have six way exams for instance, but we don't have a really excellent. And we don't have the possibility to cover all these subjects, the very high. And this is the same practically for all our. Okay, you have fun to feel theory, but you don't have function. Let's try to make these two years together and to have the extra school just for this specific subject. By the way, we find that in our region there are about 100 PhD students. The first step was to establish a framework agreement of cooperation with CERN and see that MPP which was signed in 2017. Here are the signatures and cetera in 2000. The team it was signed by Fernando kevedo and my colleague. You have the list of schools. You can see all the wish list. You see there are distribution of the topic of students, but we can make something that most interesting for them. This is the 92 students who were registered in 2015. We started. And as it used to be mission part of school practically without financing but still, and we have 14 students. And then we continue with the bell rate 2015. Then we continue with Bucharest in 2015. Then the management was changed and the budget from 40,000. Now it was a real, real, real effort, real challenge to keep it alive. And we made it somehow with the same team is or a 2017 participant Sophia 27 when I see people was not formally but substantially involved in the program. You can see the lecture participants. After the end of the first cycle was again niche 30 to 10 of June with maybe we're not close to this field but it's a really excellent problem with researchers in the Europe at least with participants. Here is the distribution number of the students as you can see in general we have. We have the number of participation from the part and notes belgrade Bucharest niche Sophia in this while I was the most representative, say, frequency of the participation of the students and events. And then we start the next cycle, despite the budget was still very low. We, and despite Corona, we were able to make school in Yanina. This is the program for this period which just finished in Belgrade school. This is the list of the activities and etc. What I can say during the Corona we have one online school and we have two schools in Yanina site. So, because of support is a program gravitation and cosmology that I led to this year now my colleague from physics, Maria Dimitrievich Church take the whole sheet and at the end of the story I asked myself seven times. It is so complicated and it is worth to do it so I don't know, try something better or try the same or try something else and will make a conclusion. Sometimes it's really worth sometimes. Sorry that I like the order in my time if there will be some discussion with the school and I will be here and we kept it to contribute to that so thanks a lot. Of course, this is only the first of our meetings and also I hope that you have a lot of opportunity to meet the next two weeks. Now I have one more great pleasure to invite Professor Drago Georgievich from the Faculty of Sciences and Mathematics at the University of Belgrade. We will be speaking on behalf of the University of Belgrade to teach these two mathematics. Thank you very much for coming. Thank you very much for the invitation. I'm grateful to all the organizers particularly to my colleague and all the students in Belgrade. Although I was interested in computer science, I decided to take one exam in pure mathematics and successful things to do. And our cooperation started maybe 50 years ago or more. It was great. And thank you to all other organizers. I know that there are many people that has to work hard that we have this beautiful event. Now I'm on behalf of the School of Mathematics and I'll talk a little bit of mathematics and niche. And this is cool on information, noise and physics of lives and of course mathematics metals everywhere. It's not completely necessary. PhD School of Mathematics is official PhD program in mathematics developed by several leading institutions in mathematics. First of all, Mathematical Institute of Soviet Academy of Sciences and Arts. George Balorich had some nice lines about the Institute then Faculty of Sciences in Novi Sad, Faculty of Sciences in Krakuevac, Faculty of Sciences in Ij and State University of Novi Pazar. We cover between 10 and 15 various branches of mathematics including some branches of computer science. These two lectures here, Professor Badebrat Bintodorović and Professor George Balorich and myself that were involved in this program. We have finished, we are about to finish our seven years accreditation and we have prepared documentation for seven more years. The idea is of course what was told before today that a lack of number of PhD students at every faculty and university forced us to try to unite them in one school, one place. So it is actually makes sense to give lectures to several students. So students of PhD schools of mathematics have the opportunity to know and to meet leaders in mathematics in all main centers of Serbia. And they have the opportunity to broaden knowledge in various aspects of mathematics and various types of working and hopefully that it will be a successful program. So as I said, we have, we have, we had sixth generation by now. There will be the seventh generation of students and the main reason for that is to try to include many young people who want to work in mathematics. And this is the reason I'm happy to see here many young people working in computer sciences and related subjects, and I'm always happy when I see such occasions. And finally, I would say that it is important to mention online about two lines about mathematics in each. We have, we have reached the position in mathematics or prestige Shanghai list of universities, or the whole university of new did not appear there. And we are very happy to see that. And we are very happy to say that two years from the last two years we have mathematicians in Stanford least of 2% of the most influential influential scientists. We have them in mathematics one of them in chemistry and I believe that this will be a very good start for our future scientific research. And finally, just the words that I want to stress out that we are all dedicated to young generations. And actually with the Serbian scientific mathematical society we organize conference for young mathematician Serbia. First Congress was organized two years ago. The next one will be organized in the end of September just about when this workshop finished. Thank you all, and I wish you happy and thoughtful work. Thank you very much. Thank you very much. Thank you for a great talk. Now, I have a great pleasure to invite Professor Browning to learn a little bit about your science. Actually, I was very fortunate to have this great opportunity to start learning machine learning. Actually, everything I know about my please. Thank you very much for the opportunity to talk about master studies on artificial intelligence and machine learning at the faculty of natural sciences and mathematics University of niche. We've been developing almost 20 years new courses on artificial intelligence and machine learning. And now it's time to have an entire new study program master studies. We're going to go into artificial intelligence and machine learning. Our study program has two years and four semesters. And students will have to gain 120 ECTSP points to finish this program. And after finishing this program, they will have a title of during this program we have seven or mandatory courses, five elective courses that have can be elected from 34 offered elective courses. And also we have a professional practice in the third semester, also with study research work, which is dedicated to this professional practice and professional practice and this study research work are considered as courses. For the fourth semester we have studied research work, which is dedicated to developing and finishing actual master thesis, and also writing and defense of master thesis itself is considered as one of courses. So these are one semester courses and per semester we have four courses during this study program. We have a number of lectures from industry here in niche software industry and the signal processing industry also, and also we have a number of foreign professors from other industries, which are dealing with machine learning and artificial intelligence to work on this story. Okay. In the first year in the first semester we have introductory course on machine learning and artificial intelligence and also we have course on optimization in machine learning, statistical analysis in machine learning, and one elective course. In the first semester we have a course on artificial neural networks and big data analysis and two elective courses that can be selected from the list of elective courses. So this is the first group in the first semester. Those courses up here are courses that can be selected one of them can be selected as elective course. We have graph theory probabilistic automata by easy and data analysis information theory in machine learning, etc. and elective courses, second and forth in the second semester, machine learning, for example, one of them machine learning and artificial intelligence in robotics, parallel distributed machine learning, also advanced computer architectures, etc. etc. So from this group you can select two courses in the second semester as elective courses. This is a courses by semester in the second year frameworks for machine learning where we teaching new frameworks like, for example, by torch or TensorFlow reinforcement learning course and study research work which is dedicated to finishing professional practice. So the research work and professional practice are considered as courses, and in the fourth semester we have two elective courses, which can be selected from from the number of elective courses for this semester and also have master thesis research work. This research work is considered as a work dedicated to finishing master thesis, and also we have master thesis writing and defense. Courses that can be selected in the fourth semester. These from statistical software through artificial intelligence in biomedicine mathematical logic systems knowledge basis and decision theory digital signal processing at natural language processing, etc. The main programming languages we are using a C++ CUDA and Python. Although we are teaching a new frameworks for developing artificial intelligence projects, like by torch tensor for all cycles learn etc. We are also promoting writing custom code in C++ CUDA and Python in order to improve actually solutions for machine learning problems and problems in artificial intelligence. And one of the reasons is, for example, presented here, you can see here the results of predictions of popularity of some video content on video streaming platforms, which is developed using custom model, which is trained in only 33 milliseconds. This custom model usually had small number of parameters. This model has only 48 parameters. Custom model is such that it develops its own architecture selects its own architecture, number of synapses connection of synapses in order to solve the problem. To compare, his accuracy is higher than state of the art deep learning model, which is developed using tensor flow of learning framework, and this model is trained for four seconds, and number of parameters is 23,000. In this particular problem, number of training examples was 177. So you can see that the number of parameters here selected is lower than number of training examples, which is totally contrary to this deep learning state of the art model for prediction. And that's the reason that we are promoting writing custom code dedicated to solving some, some difficult problem in machine learning. Our goal is to develop practical as well as theoretical knowledge in this area of students that will finish this study program and to actually develop the knowledge and interest in this area here in Serbia, because this area is growing area of industry in industry as well in academic area. And the, the reason that we are developing this study program is actually to develop this kind of, of industry here in English and this part of the Serbia stuff. Thank you very much. Thank you very much. Thank you all. Thank you. Let's go through the reference. And they're all done with Rafael. Rafael is coming tomorrow, but we mentioned, you know, with again. So he is looking forward to seeing you all. And the now we'd like to add a few more words about the school and related projects. opportunities and I would like to invite a great colleague, Agita, thank you for everything. Thank you. I would like to welcome you all and I'm really happy that you're all here and to thank all the participants for following the lecture. And I will wish you a nice day and a pleasant stay here. And I hope you're going to have opportunities for the city to have networks in your scientific research and your colleagues and to enjoy the school to learn a lot and to take a great knowledge and a great reminiscence from the niche and from the school. I'm here to tell you something about the seminar that is organized by Mathematics Institute Sanu. I am the leader of the seminar and it is the relatively new. The name of the seminar is Bio-Mechanics by Engineering and Mathematical Biology. It is tend to be an international seminar and a democratic seminar seminar. And I think it is what's important for you because there are a lot of opportunities to exchange knowledge through such kind of activities like seminars. And I'll be pretty short because you're already tired. And what is the aim of this seminar? So the aim is to present and exchange scientific knowledge and experiences among the participants and the audience. And to make publicly visible the cutting edge scientific work of researchers on a wide range of topics in the fields of bio-mechanics, bio-engineering and mathematical biology. So the work also includes the organization of scientific discussions, workshops and mini symposia and also the cooperation to exchange, to increase the cooperation with the professional associations. So there are some of the topics, maybe it's not readable from this side, but they will just mention, you know, modeling, mathematical modeling of the physiological processes of theological systems, both in the health state and in the logical state. So bio-physics, then bio-mechanics in a different variety of the biological systems like locomotion, like cardiovascular system, like respiratory system, reproductive system, etc. Also one that will be interesting for you is the application of CARES theory and CARES phenomenon biological systems and all actually kind of applied mathematics also. So if you like to follow the seminar, it is on Mondays, two times per month, sometimes less, sometimes more, depends on the schedule. So where are seminars? If they're in presence, they're at the Mathematical Institute at the building in Belgrade or they're online through the Zoom platform or through the platform created by the Mathematical Institute. And who are the target groups to listen and who are the participants? So they are all, let's say, young people, not just young, the age is not important, gender is not important, so only willing to reach the new research, the new things to communicate with your colleagues. And if you have, for example, some topic for your research, for your PhD master thesis or your recent research, you can just contact me or George Jovanovich, who is the secretary of the seminar, and we can prepare your lecture for the time which is suitable for you and so on. After the lecture, you've got the official presentation letter, you've got the certificate, and actually you're on then on the list for all the participants, you've got the emails for the next lectures, you can follow if it's in your view, you can send to your friends, and actually it is the point to exchange the new scientific research.  Thank you again. I think that it is really important to underline that this seminar actually was established during the preparations for this school, right? So, because the preparations for this school took a very long process, a long period. And this seminar, the conference pool also took part in the ideas for establishing this. You can participate in the seminar also for the school. Yeah, yeah, I'm 100% sure that I know who would be interested in this school, who would also be interested in this. Okay, so now, Professor Aldan, I already introduced him maybe once again, maybe to tell that this is actually the second time that Eder is coming to Sweden. First time in Nice. Last time, he was invited to be here at the conference in Koss, that was established. Nice to meet you. Thank you very much for coming today. It's great pleasure to be here. So, Eder, thank you for everything I think that I must talk to you. If I continue it, it will be brief. If you want, I can speak a lot about you. Sure. No, no, no. I can speak a lot about you. You were really the main organizer in this kind of work. So just to tell you that we've been working quite a lot to make this possible. The program was finished last night, midnight, so you can imagine where things. So I want to thank all of you, the people from Serbia and Eastern surroundings who make this possible. And many of the students for being here. This is for you. This school is for your development. You learn, you discuss with us. It's not as cool to intimidate you with formulas. So just you to learn, ask questions, talk with the professors, ask with anyone you find. It's a very good opportunity. And I tell this because I am in the same seat 10 years ago I was in school. I was in the school in Benaske, which is in the border between Spain and France. And I always remember a very good memories of schools, different reasons. First is make very good friends. So it's people of your age, same career. And this is really important not only for friendship, but also for collaboration. One of my best collaborators come from school. And I did various research projects that started discussing with people in school. And so this is for you. We're really happy with this. We apologize that something could have been tropic and disordered in our best. We hope you enjoyed it. I wasn't planning to teach, but I'm going to teach. For example, and just as a couple of one minute about ICP. So ICP is the Institute is bad among other things. So this is the International Center for theoretical physics. We are based in Trieste, Italy, not so far from here.  So this I really means international because they take students, authors, all around the world, by the way, and Spanish and Italian to just show you that we are people from everywhere.  So we collaborate with UNESCO and we do many problems with them. UNESCO is one of them. And they are mainly focused on developing countries. So, for instance, we have a program is called the diploma program, which is a sort of master program. We cannot give master title because you're not a university equivalent to master program. And this program takes only students from developing countries. It means that if you are a student right now doing a university undergraduate or master in a developing country, you are eligible for this program. Which is really nice. We teach a lot on this. We train students for one year. And then they either do each day with us or they go to very good places. Some of my students are going to Max Planck, PhD, Belie, Edimorg, so they go to different places across Europe and US. It's one of the programs, but there are also postdoctoral fellowships that are open to anyone developing and developing countries. And we have many conferences. This is a conference in school. This is one example. It's the first time we come as it becomes to me, as I know, to attend school. And yeah, you have doubts, questions and curiosity about the programs. Just ask me and give you information. You have to know about this. I promise to be short and I will be short before we speak after the coffee break. So, yeah, once again. One short, I don't know what to say about being in traffic. I do not. I appreciate it. Okay, so thank you very much. Once again, this is only beginning. We have a lot of opportunities to meet. We would like to invite you to have a joint coffee and discuss in less formal way. And maybe before that, if we take a photo together, what do you think? Yeah, yeah. Where do you go? Outside. Yeah, just be in traffic. No. No, no, no, no, no. No, no, no, no, no, no, no, no. No, no, no, no, no, no, no, no. I think I'm going to have to connect. First thing. The rest I think. Then don't worry, just relax and you'll get it. It's fine. Okay, it goes like this. I prefer to fix this. Need to connect? Okay, okay, I leave this here and connect. Greetings to all of our online participants. Can you hear me? You can confirm in chat. Yes, we can hear you. Okay. My name is Lazar Stojkovic and I'm one of the local organizers. Thank you all for being here. I would like to receive some of your feedback on the sound, on the image. How was everything? All right, so far. It's okay. Also, I cannot hear you. I don't have sound, so please communicate with me through the chat. The sound was not very clear, lagging from time to time. Okay. Okay. The microphone is near the main stand where you saw most of the, let's say lectures, while the main organizer was standing quite a bit far from the microphone. So you maybe didn't hear the introduction as well. We'll fix that. So, so anything else? All right. Also, I might, I might not be able to check chat during the lectures, because this laptop is recording the audience. So I'll try to see your messages in between lectures. Also, everything should be recorded from now on. And I hope you'll have it available for offline. You will be able to see the lectures offline later on. That's all. We are on the coffee break, see you in maybe 10 or 15 minutes. Bye.