 Well, I guess I'm back again. Good morning once more, and it's a pleasure to be here. As you just mentioned, what I would be talking today is really some of the efforts that we are doing with open source, and especially how we see what the open source activities that we are taking play a major role for us going forward in the business side. As you see, what we're talking about is creating sustainable value. And I think I'm just going to talk a bit about this based on what we see from our customers. So we are, for those of you who might not know, we are about a $35 billion revenue company with about 60% of that in 60%, 65% in Japan, a major part in about, I would say, 30% of the rest is in Europe and the rest is in the United States and Asia. But we talk to our customers fairly regularly and survey them what they're looking at, what are their expectations from us, and where we should be investing. So one of the things that we've seen over the last two or three years is a major feedback from the business leaders. So we talked about 1,800 customers last time in about nine countries across the globe. And what they were looking at is they see a major polarization between different social values. And this hadn't really come up. We've been doing this for a long time, more than 10 years. But this come up recently over the last two or three years. And that kind of links to the haves and have-nots across the world. And sustainability, that directly links to sustainability becoming more and more important for them. And we believe you can't really drive a major sustainability effort in a large organization without, obviously, digitalization is going to be the key for that. And to propagate that at the speed that is needed and at the scope at which it's got to be implemented without getting locked down to, as our friend from Intel just mentioned, accelerators are one example. Open source is going to become very, very important. Very, very important. And as I mentioned, 77% of our business leaders, that's our feedback. They focus on digitalization with sustainability because they need sustainability. And that's where open source, I think, has a big role to play. So we at Fujitsu have a very long history on this. Obviously, the Linux kernel for mission critical systems. Mission critical systems is our 4-day. We've been, obviously, the most, I guess, well-known is the Fugaku supercomputer, which got top 504 last five years until last year. And now it's number two. I'm waiting until we come back with number one again. But that's been, for last time, I would say more, around 20 years, we've been focusing on mission critical, high-performance systems, networks, as we are now leading within 5G. And more importantly, what's going to be driven in 6G efforts. So we have a long history of collaborating that. And we believe it's critical. It's critical going forward. Today, I would talk about three key areas. One is there are other areas, but I want to focus on three, which we believe are absolutely critical going forward for us. In terms of creating an innovative ecosystem, one is I'll briefly talk about what I'll call Fujitsu Monaka, which is our 2-nanometer chip. It will probably be the first 2-nanometer chip, which will be ARM-based. By the way, we are the only one that has been focused on driving high-performance supercomputers based on ARM for a long time. And we took a big bet on this about five years ago when we developed the A64FX, which was the ARM-based processor for Fugaku. We'll talk briefly about AI and the Web3 platform. And I want to see how this is all connected. Over the last nine months, it has been the craze. But the technologies that we are focusing on, really, I mean, I think DX is being driven by innovations in computing, innovations in networks, AI, security, and lastly, the human technology interface, which all kind of focuses on the technologies that we focused on. So the key for Fujitsu, I guess, opens those projects that we talk about today, as I mentioned, is the ARM-based processor, the Monaca processor, the blockchain areas that we are focused on, then, artificial intelligence, and including AI ethics, which I think is going to become increasingly important. So just from a Fujitsu Monaca, as I mentioned, the key focus on this chip, its ARM-based, it will be the world's first two nanometer chip that will be driving HPC. It's completely, completely, there is no proprietary code on this. The other major characteristic of this is that it's heavily, heavily power efficient. And we actually, the amount of cost that we are putting in to develop this versus if we are not focused on the power, it's focused on data centers, it's about twice the cost. And it will use one-tenth the power of what the A64FX uses on the supercomputer on Fugaku. But we benchmark against competing chips. I think it does very, very well because I think that becomes increasingly important. And again, it will run on all standard protocols that are out there completely, completely. I think for us, it becomes critical that invite the open source community to look at this, test it, write their code against it, and as we said, the unified accelerators, to increase the hardware choices for our customers, this becomes increasingly important. The next area I want to talk about briefly is the Web 3. Again, this is going to be increasingly important going forward as well. But the key thing is, there's a lot of stuff that's not Web 3, that's Web 2 or before. And that should be seamlessly moved or be able to be, we should be compatible with what's run on Web 3. So this is an effort that we've taken on, building some of the open source code for that. And I'll show you an example on this, which is really the multiple blockchain integration. So your multiple blockchains, securing those blockchains is important. So you can write the code as it is, and using the ledger plugins, which will make available to the open source community to leverage that and have that code be available on Web 3 as well. So this is a key area for us going forward. Again, I can actually do more work on Web 3. Another area we want to talk about is Fujitsu Kozuchi, which is our AI platform. Now the name Kozuchi, and by the way, both Monaka, they are kind of symbolic of our roots as a Japanese company. Monaka, we purposely didn't go for a A64 typical chip lingo, but Monaka is actually in common lingo. It's a Japanese suite. And we wanted it to be like that as we go for Kozuchi. It is supposed to be a magic wand, which answers your questions. And we've been about 30 years. So we've been working on AI for 30 years. And what we see, though, is the hype around chat, GPT has helped our customers not question whether they need to do something about AI. It's like, how do they do it? What do they do it? And everything that goes around that. And our platform, we've got our focus on our strengths, where we focus. We are not a B2C company. We focus really on large enterprises, but enabling areas like human sensing platforms, where we have very strong IP. Or cause and effect, like in genome analysis. Or explainable AI. And some of the areas that I'll show you two examples where we want to talk about is AutoML. And the big issue of AutoML is it is time consuming, and it needs intensive computational resources, as you find out. Secondly, it's like the black box nature of generative AI models with people question. How did you arrive at that conclusion? So you have to blindly trust that. And the effort that we are making is using SAPI and ML, which gives you high speed, but doesn't compromise on transparency. It gives you the reason for why it's generating that code, and the results that you're seeing. And as well as the accuracy. So some of the generative AI models won't give you a score as to what is the answer, but what's the confidence ability around that particular answer. So those are the efforts that we are undertaking. And we are actually using that practically in some factories and in retail shops. Some of the banking customers for us are using that. And I believe this is going to help alleviate one of the biggest issues in propagating the use of art, which is lack of resources. There are just not enough qualified data scientists out there that can do this. And this is an effort to, I guess, help achieve that and make it more widely used. The other area, which we believe is extremely important, and will become increasingly important, and it's fitting that we sit here in Europe, which is leading this effort worldwide. It is the intersection of fairness for AI development. The trust, right? Why is, can you really trust the answers that are coming in? You're using multiple AI tools. Do they subscribe to the values of ethics? For example, it's discriminating against a particular race, especially if she's a female, in a bank loan. I mean, this is a real example, right? The AI will discriminate if you belong to a particular race and are female of that race. So is that how do you overcome those biases? And we've come up with some of the AI tools that you're definitely welcome to see in the booth that we will be making available to the open source community. And for us, this is all kind of, when you look about AI, the biggest area that is going to be needed is compute and networks. I didn't talk about networks, but that's another area that we're really looking at in the 5G60 areas to bring that all together and work with the open source community. So our goal is really to work with the open source community on this, on different areas. But I think we believe that makes a lot of good business sense as well. And it's going to play a critical role up to now, but it's going to play even a bigger role going forward. Thank you. Thank you. If you have time, do definitely come and visit our booth. Thanks a lot.