Speaker 1: The first AI tool you need to know about that will turn you into a superhuman is Syspace. But I've talked about this heaps before, but now look at this. Down here when you log into Syspace you've got Citation Booster. Citation Booster apparently increases your citation count by 20%. Anyone would want 20% increase in citations. So what happens is you create an AI avatar with your own voice and style and you can also select from a diverse number of voices. Streamline your content creation. So this is about publicizing the work that you want to get in front of people. I really, really like it. It's actually something that I think is completely underrated in the academic world which is the post-publication promotion. Oh, the PPP. Copyright. Okay, now let's go here. Okay, so it says upload full text. So if I go and find a full text, let's have a look at this one. No, yeah, no, this one. Oh, and this one. Okay, I'll open it up and you can see that it uploads the text and then you'll be amazed at the ability of the AI to turn it into two types of content. We'll look at that in a moment. Kindly wait while we process your PDF. Oh my god, that was quick. I was going to do something. So now we've got this untitled paper. It's extracted the figures. It's now got research assets. It's generating two types of assets that you can use to promote your paper. You've also got research analytics, i.e. the people that this brings in to your paper for reading, and then you've also got all of these analytics down here and then obviously you've got the PDF as well and you can see if people have taken any notes on it and that sort of stuff. But this is what is really interesting to me. Let's have a look at research assets. We'll click view and then you end up with this video. You can then edit the video which we'll do now and let's check out to see what it's done. So you can see for each page it's generated this little narration. So you can narrate the scene and you've got five scenes down here. This is the second one. This is the third one. This is the fourth one and this is the fifth one. So it's highly revolving around the figures but you also get this narration which goes alongside it. Let's have a little bit of a listen at this narration. It's not working. Why is it not working mate? It was working before. So it's apparently meant to have a narration. Okay let's try again. Let's go down to this one and just click. I turned off. All right. Okay let's do this. I turned off the volume on that tab. Okay we can do better than that. All right. Let's go to the second tab and try that.

Speaker 2: The graph showcases the resistance ratio versus the number of bend cycles for two different measurement techniques.

Speaker 1: There we are. So it's a little bit slow. It's a little bit boring if you ask me. So I think you could go here and record with your own avatar. So you click here and you can then say yes I'll be fine with me publishing my voice. Then you can narrate the paper in your voice. So you can skyrocket your paper citation count. You can track analytics. All of this sort of stuff. So we can't find your profile. Create profile. Can't find me. There we are. That's better. Andy Stapleton. That was a little bit annoying wasn't it? Going through all those other Andy Stapletons that aren't nearly as important as me. And then you can generate and publish a video. So there we are. We go in. Add a clone. Continue with sample voice. And I do recommend you try to persevere through and create your unique voice and video clone if you feel comfortable with that because I think it will make the video much better. Another thing that you need to know about this tool is this. So what it creates for you is a presentation that allows you to easily kind of like start to think about your results. Now look. It's got this sort of stuff. Table of contents over two pages. So some of the formatting is a bit weird. I think it gives you pretty good talking notes for a presentation because not only does it give you the structure, it gives you the bullet points and all you have to go in now is you could take these, put them into like a PowerPoint presentation and then put in some figures, some diagrams, put big arrows, put big squares around the things you want to talk about and look, it's even put in the diagrams and the figures that you need to talk about which is actually pretty good. It shows the right things. It's got this. It's got the conclusions. So overall, I think it's done a really great time. It's even got what I call the clapping slide right at the end where it's like thank you for your time and attention. Cue the clap. The next tool you need to know about is Julius AI. Now I've talked about this so many times and I absolutely love it. Julius AI is that little data science in your pocket that's like, hey, I'll help out, don't worry but it's got even more powerful because in the past, it used to have this, Python. It only had Python runtimes which means all of the code was generated with Python output which means you'd have to use a Python environment to copy and paste this code across but now, you can use this. Go up here. You can use R. So by using R, you can now get access to really powerful data analytics and visualization right in this AI tool and I think this will open up a world of awesomeness for a range of different people. So let's have a look and add some files and yeah, see what happens. Okay, so we'll just wait for that to upload and you'll see that it's able to generate not only the results in the AI tool but it gives you the R code that you can use in the R software programs. So here, it's got the prompt as well as the data already in there and this is the show code bit. So you can see it's gone off and it says, load the data and display the first few rows and understand its structure. So this is the R code. You can see this here. I think this is a real superpower for people like me who aren't really analytics or sort of mathematically or R driven but this is now something that is just so very, very powerful. You can take this data. You can print it and take it across to whatever program you're using to sort of like show this R programming language and you can see that I know nothing about it because I never did it but the fact that it's got R is now I think a real, real superpower because you've got the power of R and Python in one single AI tool for data analytics. Go check it out for your data and I think you'll be amazed at the sort of insights you're able to generate with this tool. Go check it out. One of the things I found really challenging during my PhD and my research time was having to go out to the literature all the time to find new papers to read, to get inspiration from new papers and it wasn't something I particularly enjoyed. I'd much rather sign up to something like Google Alerts but there's a new AI tool that can do a little bit of that work for you and I think it's a new superpower and that is Goatstack AI. Goatstack is an AI tool that goes out, looks for papers and sends it to your email inbox. That I love. So here when you sign in and you first get started it says what topics are you interested in so I'll go in and you can choose from these down here but ultimately I'm only really interested in OPV devices and here we can say add so you don't have to select just from those. I want transparent electrodes. Transparent electrodes. Here we are. No we don't want that. There we are and then we'll click next. So then it asks how frequently do you want this. You can say daily, Monday, Wednesday, Friday, weekly. Weekly is probably good enough for me and I'm going to call it Andy's Digest. And then what will happen, this will get sent to my email inbox. So you get this dashboard and you can see that I've got this weekly Andy's Digest. It's looking for these sort of things. You can also say send now. Will it only send it to your email address? Let's click send now. AI agent is still preparing my requested newsletter. Try again in 60 seconds. I will you bloody awesome thing. So then we've got keywords to include. So if you find this including things that you don't really like, you can make sure that it filters those out. You've also got custom instructions if you sign up. But also this digest does have a public profile. So if you know it's a popular topic, you can actually reach out to other people in your field and say, hey, I've already generated this. And if you wanted to, you could even turn it into a monthly recurring revenue service for you. You could monetize your newsletter if it's a really popular newsletter and you've gone to all the effort of making sure that it's super powerful with keywords to exclude and all that sort of stuff. So it could be a little side hustle for you. I don't know. But it is an option if nothing else. And what you'll end up with is an AI sort of generated newsletter that looks like this. So you can see that here I've got power conversion efficiency and OPV devices. It's got the nice graphical abstract there. And it's also got key points, which is a really great tool. So even in your email, you can see these key points. So here is a list. And then you've got a little kind of generated AI generated description and outcome of the main points of that. So that's the first one. And you can see it goes on. It gives you a few more. So this is detecting triplet states in optoelectronic and photovoltaic materials and devices. So that's great. We've got effects of whole transport layers. So those are the sorts of emails you can expect to receive in your email inbox and go check it out for goatstack.ai. It's completely free for, I think, only one newsletter. But that's all you need for your research. Go check it out. It may be the easiest way to just suck in all of those important papers into your face. Thanks.