The integration of artificial intelligence, robotics, and Internet of Things (IoT) technologies is creating a new generation of intelligent systems that can autonomously process data, make decisions, and perform complex tasks. This convergence enables applications ranging from autonomous vehicles and healthcare diagnostics to smart manufacturing and security systems, with emerging technologies like digital twins, edge computing, and blockchain providing enhanced capabilities for simulation, real-time processing, and secure data management. The development of agentic AI architectures, where multiple specialized agents work together to process different types of data and execute coordinated actions, represents a significant advancement in creating more capable and efficient intelligent systems.
Deep Dive
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Deep Dive
MOI Community Call : The Next Generation of Intelligent Systems
Added:live. Good morning, good afternoon, good evening everybody. Happy July 17th.
Happy Friday. Um, I'm in denial that the middle of July is already here. Time has been flying by so fast. And speaking of time flying by fast, this is officially our 12th community call, meaning we have hit the one year mark of doing these.
And we've learned so much as a team, as an organization, and we hope you're learning things about us. And if there's anything, as always, that you want us to talk about or you guys want to learn more about, definitely reach out to us.
I will have all of our means of communication at the very end, so stick out for that. As always, I'm Rut. I am here today to host the community call, but we have some wonderful speakers lined up. And yeah, we're very excited.
As always, a little bit of housekeeping.
Please remember to subscribe to our YouTube channel if you're watching this from our YouTube channel or to follow our X page um or to do both. Keep up to date with all of our Discord communications because we do a lot of fun things on there which we will get into later. And yeah, ensure that you also follow our LinkedIn because sometimes we have some hidden Easter eggs there too. But okay, so today our agenda is exciting. We have a couple of technical updates, a couple of marketing updates, and then we have a guest speaker, Dr. Bezo, but we'll get there when we get there. So, for now, I will turn it over to AI to give us the dev updates.
Hey guys, how's it going? Hope everyone's doing really, really well.
Um, yeah, so it's that time of the month again where we, you know, talk about all the exciting work that, uh, you know, the engineering team's been up to. Um I feel like it's uh it's kind of like I take a lot of the the way with the way I speak about the engineering team look it looks like I take the credit for it but these guys work so hard in the background um that I hope to have all of them one day on the call over here so you know uh you can actually see the faces behind the people who do all this hard work um but uh yeah so we have a couple of really really exciting engineing updates and like for me personally I've I've been um I've been doing a lot of uh like I've been getting my hands dirty with a lot of engineering stuff um myself specifically with a couple of campaigns we're working on. Um so I will you know I will address that but let's let's let's get through with the engineering updates um mostly on the technical side first. Uh so on the SDK side the headline the cycle is the release of JSOY SDK version 0.7.1.
Um a few things have you know landed here. We brought back the generate key store uh from the key store APIs. These existed before but we've reintroduced them so they work properly with the new multi key wallet architecture. Uh so you can now generate a key store and restore a wallet from you know one fully compatible with multi key setups. Uh tied to that we've added import and export using web3 secret storage format.
Uh that's the standard key store format the broader web 3 and blockchain ecosystem uses. So your wallets are portable and you know effectively interoperable. Uh we also added participant identifier validation during wallet restoration basically integration check integrity check uh that confirms that the key store is valid before it reconstructs the wallet and um yeah so that's on the SDK side. You know, we also have a lot of exciting updates on the actual like AI side as well. Um, a project that I personally worked on for the last couple of weeks is um, uh, we've essentially released a agent like ski a skill MD package for our JSON SDK.
We already had this for Koko um, and we got a lot of positive feedback on how it was working with Koko. So you know anytime a developer wanted to essentially um build any kind of smart contract on coco build a logic use active state uh they just had to write a few prompts on you know their local AI setup whether it's cloud cloud code cursor open claw and it was working well so we've doubled down on that and built one for jsmo SDK as well uh it's extremely comprehensive um it has a lot of examples in it um and it makes using like AI to build your products to develop your products a lot lot simpler.
Um so we had support for logics before uh which is Koko um building your own custom logics. Now you have the ability to uh deploy your logics and you know use the full range of the SDKs. So that's deploying the logics you have um creating your own custom assets connecting to the network connecting to your wallet. Um all of that is fully fully possible just through AI right now. Um and uh could you go to the next slide please? I think we better yeah thank you. Um so it's live it's downloadable. Both the co both the links are available on our uh jsmdk docs website and a cocoang.dev website respectively. And uh yeah um this is the second set of engineing updates um on the protocol side. So our version 0 17.0 shipped with like two two new things. So we have account level access control which gives finer grain permissioning at the account level and a major round of bug fixes specifically around signature validation and storage key deletion. So the code is more robust and uh looking ahead the Moy agent gateway the architecture is now finalized and um there's also a lot in flight around it. Um so this is something that uh you know again I've been personally working on myself. We've started to host our Moy builders webinar for the last let's say 5 to 6 weeks.
Every week we have one hour of pure moy builder content uh where I'm essentially walking through one particular concept.
So you know we started off with uh the basics of moy so how to use coco what is coco or rather like what is partisan centric city what's the power behind it.
Second session was about how to how to deploy your logics. Third was about how to create assets. sports as boy Asians.
And um we just finished session five last week and session six yesterday where we essentially spoke about context inheritance which is an incredibly powerful feature that Moy offers. And um yeah, if you guys want to learn more about how to develop on Moy, you should definitely be joining our um builder series because a you get to learn something really really cool. you can actually leverage like you know some really really powerful new technology for your projects and two we also offer a lot of really really fun and really cool bounties for each session and they're they're a mix of both uh Koy tokens as well as one lucky winner or rather one hardworking winner always gets like um a $15 uh bounty as well so you know there's a lot to learn a lot of incentives there and couple moreh things that are in Friday on uh agents on Moy is uh we've been working on a Moy agent dating plugin which is um it's ready. We're just running through a bunch of tests for it and we should be good to release it by the next week. But essentially now you can register your agents and have them go on dates with other agents. Um it's it's a bit of fun. It's a it's um you know it's a project that uh you know you guys can just use to see how your agents think beyond uh how they do work for you whether they actually have a personality. Um so it's a bit of fun and uh you know if anyone wants to get early way access to it reach out to me I'd be more than happy to provide it to you but the public really should be within the next week. And finally, uh, we're also working on a no code agent platform that allows you to essentially create an agent within 60 seconds. Um, all on Moy.
Um, and you know, this is the layer that essentially ties the agent ecosystem together for Moy. Um, so a lot of really really cool stuff up there coming coming out for people who, you know, who want to get into the AI space but you know don't have the technical expertise as well as those who are already technical.
So we're we're focusing our dev efforts on you know a wider variety of things um this time around. And as always, uh, Discords are, uh, you know, uh, source of truth for everything developer related. And you all know where to find me if you want to ask me any questions, if you want to build new projects. Um, and, uh, yeah, that's that's that's my update for this month. Um, I'm looking forward to seeing how we how we, you know, go ahead with the our projects.
Over to you, Rutha. Thank you.
>> Yeah, sounds like an exciting time. I think, you know, summer's getting a little slow now that the World Cup is over. So, I know all of this agent stuff sounds very exciting. And I think especially someone with no technical background, it's exciting to see how you guys are putting together something that would make it easy for me to make an agent cuz they do a wide variety of things and definitely help you in all sorts of ways. So, very, very exciting stuff. Um, you know, I will toss back a question to you. Is there one particular project that you're most excited about?
Um, is there anything that we should keep a lookout for with the developer series? Do you have any ideas for what's going to happen next week?
>> Um, yeah. So, uh, I we, you know, we take it we take it on on a weekly basis.
The the builder series is, you know, it's it's uh uh yeah, I'm not going to reveal what we're going to happen next week yet. Uh we're gonna we're gonna have a really really exciting session.
Um uh but the thing I'm most excited about I would say is well one the builder series cuz you know I actually get to interact with developers. That's really really really fun. I've met a lot of cool people through it. But I would say the agent dating plugin and the no code agent platform specifically because the agent dating plugin has so much of room for chaos. Uh no I'm kidding. It's it's it's always very interesting to think see how your agents, you know, like talk. Uh because like nobody really like it's it's it's hard to say like where agents think of subjective things from and um like you know if you ask it a question saying how's your day? It's like they're not going to be able to necessarily answer that. So it's it's it's always like very interesting to see like for example if push or you had an agent that very specifically focuses only on your calendar and that's all it knows about and then you suddenly ask it to go on a date. Um there's just a lot of room for knowledge over there. Like it's it's just a very interesting idea which is why I think that'll be really really fun. And the no code agent platform of course is it's like we're making it possible for you to deploy an agent on Moy in 60 seconds. Like uh I think that's that's like uh utility wise that's also really really cool. But I'm most excited about the dating plug-in and let's see let's see how from there.
>> That is fire and sounds very exciting.
Um this is your sign to everybody watching to look out for next week's builder series because even I don't know what's going on. So very exciting stuff.
Um I'm also very exciting excited to see all of this get deployed and to see more updates for next time. Um, with that, let's turn it over to P for the marketing updates because we do also have some very exciting stuff that we've done this month with our marketing side.
>> Yeah, I I think before jumping here, I would love to see agents uh you know talking like when when they're dating or so more of if they are talking about like who will win the world world cup and one team is one agent is supporting one team another agent will support another team that would be fun and exciting conversation. So looking forward to it. And now coming to the marketing updates. I think lot of stuff is coming in. Many of you have asked like when is the next humanize podcast coming in. So stay tuned. Next week is the uh deadline for it. You'll see a pretty crazy guest out there. So stay tuned for that. Uh yeah, we are back again with game night. So next Friday we will be doing game night. And one more uh interesting stuff. So uh stay tuned for that uh and follow our Twitter discord. We have lot of stuffs coming in. We got in our moderator which I think fiercely working with all the people uh you know want to learn more about Moy. So we have lots of levels lots of roles. So you can now become and level up while talking into discord and yeah you you can have like multiple roles which will unlock based on your conversation there based on your activity. So I think you you have to be much more engaging because both the stuff on the game night and uh you know discord leveling uh you can get more incentivized because you have lot of stuff including coin system coming in that we can get on the next slide.
Yeah. So as we talk about the moy rewards console we have like lots of task for community. We haven't announced it yet. You've got to know it here. Moy points is live at points.mmoy.technology technology but it is already announced in discord community for anyone else who if you want to know more the announcement is coming soon on X as well but if you are already into Discord you you already know about it if you're not what are you waiting for do join now and yeah I think my Forge is coming in the digital version so stay tuned for that like a more simplified version that how you can build agents how you can experience it as Adi was mentioning like a no code solution with just riding it.
It makes a lot of sense and yeah, lots of lots of interesting announcements coming in around Moy Forge digital as well. So stay tuned around that and yeah, hope you will make lots of lots of agents on Moy or you make it somewhere else or bring it on Moy. So yeah, stay tuned and very happy uh for many people already building and looking forward for other people's building soon. Uh so yeah, stay tuned and be part of the community. Yes, very exciting stuff.
We're getting a lot of little hidden tidbits today. I think this is your sign if you're watching to please stay in touch to watch these community calls live because you learn a lot more. Um, but yeah, so on to something else very exciting today. Today we have a guest with us, Dr. Bezley. I hope I said your name right. Um he is a robotics and AI leader with over a decade of experience building and deploying real world solutions across robotics, machine learning, automation and computer vision. Beyond just this, he's an educator, keynote speaker, judge, and the founder of Enlight Wisdom. So he's very passionate about this and we're super excited to learn from his experiences today. So thank you so much Dr. Bresley for taking some time to talk to us and a very warm welcome.
Oh, you are in audible.
>> Oh, I still can't hear you just yet.
>> No, you're not part of me. Maybe.
Yeah.
That's strange. We have faced many issues on X. Now we are facing issue as well.
>> Riverside. Yeah. You know, for if I had a dollar for every time I've spoken on you, I would truly be a billionaire by now. But unfortunately, >> yeah, >> but yeah, we are here to make our community millennia. So >> this is true.
>> I'm really thinking, you know, I say this every community call. I really think we should have some background music or at least edit it into our like final cut.
>> Oh yeah. Yeah. Yeah. Yeah, you should.
That's a good idea.
>> Exciting.
>> Yeah. Okay, let's let's have a roll. Oh, which which which music you would love to hear.
>> Yes.
>> Comment on YouTube.
>> Yes. No, I'm excited. I think we did something exciting with our podcast this week. So, everybody will love the shorts that come out soon. And so, I'm trying to brainstorm new ideas to make the community call different. Um, but if anybody ever has ideas, please drop them below. Um, because I think it's definitely exciting. Um, and we want it to be engaging.
>> Yeah. I think I think we should do a lot more around if anyone is building.
>> Yeah.
>> You're more than welcome to be part of the community call like build and showcase it.
>> Yes. Yes. I would like I was thinking of doing maybe like a hot seat situation um where we maybe try to get one person from the audience involved but >> I think for the next call starting next call we can probably get one of the uh students from the dev webinars I don't think we can still hear you talk yeah >> no worries take a time >> yes no issues truly I have faced it and as someone who talks a lot it is heartbreaking for people not to do.
>> Yeah. H Oh yeah, that's how I agree. I agree.
>> No issues at all. But yes, very excited for the World Cup final. I think that's all I've mentioned today's call. Um everybody that's watching, drop your comments on who you think is going to win. I definitely think Spain's going to win, but maybe that's also because that's who I'm rooting for.
>> Yeah, you know Spanish, right?
So you're already biased >> a little bit. But I mean Argentinian Argentinians also speak Spanish. So >> yeah. Yeah. I agree. I agree. Yeah. I think the complete uh Oh, okay. By geography wise if you see the complete uh South America almost speaks Spanish >> except Brazil. Yeah.
>> So any Spanish community meant >> any country. Okay.
>> Okay.
I know you're trying.
>> I don't think so.
>> Yeah. May maybe you can try joining in again. I guess that should work.
>> Yes. Whoever said they want Argentina to win. Is it because of Messi?
Because I also don't >> for me. Yes. Yeah. I mean, I think Messi should come back literally. Oh, come on.
I mean, okay, maybe this is a hot take, but I personally think all of the soccer players that are retiring now, like should retire now because it's definitely well past their prime. It's like, >> first of all, it's not it's not soccer.
It's football.
>> Yeah. Yeah. Yeah. You got it. You got it.
>> We're going to have a lot of angry community members do that.
>> Yeah. Soccer versus football. Okay.
Let's Let's see agent talk around this.
They will date. They will fight.
hell. Oh god.
>> You might need to create a divorce lawyer very quickly after the the dating agents.
>> That would be fun to watch.
>> Yes. All very exciting things. But you know, I still can't lie. I don't know why soccer is called soccer here, but >> it makes >> Yeah. That's why we call it football.
>> Yeah. Yeah. That's fair.
>> But Do you guys have a favorite sport that you like to watch?
>> Yeah, football for me. Football and cricket for me, I like both. Um, but more football, I think, uh, I've seen, you know, my I've seen my mood go up and down every time I watch Arsenal play for the last 10 years. So, uh, definitely more attached to football than anything else.
>> Very fair.
>> Yeah. I mean, I used to play uh table tennis a lot, so that's another scenario. But yeah, cricket and table tennis is like a half soft going around.
So, >> okay, interesting.
>> Yeah, what about agents like if they what's even like after dating, >> right? I would like to know. This would be this would be a great thing to explore.
Okay, let's give it a couple more minutes, but I'm so sorry. Offer. Oh, he's back.
>> Yes.
>> Yes.
>> Okay. Awesome.
>> Okay. Awesome.
>> I'm getting the audio.
Yeah, maybe we can start. So you can >> start you can mute.
>> Yeah, you can go.
>> Okay. Well, welcome back. Um, as I said before, we are so so glad you are here today with us and so excited to learn from you. Um, and yeah, so if you could walk us through your experience and maybe kick things off by telling everyone a little bit about yourself and your journey into AI and robotics, that would be cool.
>> Oh, I guess he hopped off.
>> Yeah, he lost him. His agent is not allowing him to speak.
>> Yeah. Yeah. Not a good day.
But that's okay.
Um, yeah, very exciting stuff.
That's the reason you need authority for agents because otherwise it will mess around and not allow you to even speak.
Yeah.
>> Okay. I think uh this this is better.
Am I audible now? Yeah. Right.
>> Yes.
>> Super. Okay. I think that is a better idea to like uh install application and join it through a application instead of like playing with the laptop. Okay.
Sorry for the all the delays. Uh because it is like uh I just have one query. Can I able to like join in multiple device?
Is it possible for sharing? Can I join it using my laptop also for sharing the presentation?
>> Um I wouldn't be sure. What do you think P? Yeah, I think you can uh but not with the same ID.
>> So if you try to join in as a guest on the other one.
>> Yeah, just guest work.
>> Yeah.
>> Or alternatively, if you like, we could also just share your screen um with the presentation.
>> Yeah. Okay. I'm not just sending it in the group also. I just try to join or else I'm sending it to you.
>> Sure. Thank you.
I dropped the presentation in the the WhatsApp chat. Can you check it out?
>> Yep, I got it. Yeah, we'll share this.
I think I also try to join using another account. I think I can able to do it.
Yeah.
>> Okay. Awesome.
>> Okay. I think I got the Yeah.
Yeah. Sure. So, thank you for everyone for the time for uh waiting this long because of the climatical issues and lots of things happening. I was like unable to like join on time. So I I want to like a apologize for first of all for each and everyone who present in the meeting. So I just want to like uh share my experience on uh some of the things which uh I've been like working on for quite uh for a few years for last uh 10 to 15 years all the things which I've been like working on. I just want to like share that with you guys.
So first thing I just like to share my screen is visible.
Not yet, but we can give it a second and then if not I can share because I also have it.
I'll just share that.
>> Okay. It might be a connectivity thing.
Let me see if I can pull it up.
In the meanwhile, if anybody else can open it up, that'd be great, too. So many technical Earlier today I was trying to add a background and that was impossible. Did that go through?
>> Um >> yeah.
>> Okay. I think uh I shared it uh to the WhatsApp group if any of you are able to like uh just presented it.
>> Yeah, maybe are you able to grab it?
Um, let me try.
Uh, Ruth, were you sharing the screen earlier?
I've sent the presentation to you. So, >> I'm trying, but the PPT won't open on my laptop for some reason. So, I'm trying to figure this out.
>> Okay. What if I >> Should I share you the Canva link for it?
>> That would be great, I think. Sorry, I'm just trying to trying to work this out.
Okay, wait. Actually, I might have gotten it. Let me see if this works.
Hold on.
Never mind. That did not work. That was ambitious. uh and then I have like shared you the Canva link for the presentation also. I think you you can able to use it also.
Okay, here. Let me just pull that up. I think I can do that. Okay, here I can do that.
Um, there we go. And then Okay. Is that visible to everybody?
>> Yep.
>> Yeah, I think it was possible before.
>> Okay.
>> Okay.
>> Great. Okay.
>> Okay. So, uh, instead of like uh delaying, I just want to get directly into the thing. So today I just want to like share my uh uh opinion on how data has been like I think many of you people are from uh different backgrounds and it may be from IT sectors from different IoT or you guys may be a fullstack developers or data scientists or whatever thing I just want to like uh talk to you guys regarding how uh a new field I think everyone you guys have been like user users of AI I think each and everything nowadays from morning to evening we have been like a user of AI only without AI we are like nothing. So one of the thing which is which is like implemented for AI is like datas. I think without let's say this is like a small example which you are seeing here which is like a thermometer. There's a thermometer which is which tells you the temperature. So without uh like a context of it today I'm going to talk about how data and using which context we can able to like implement the data in efficient manner and what are the new updates which is like coming and new upgrades are coming in new uh new innovations are coming in the particular field using different datas. So that is what I'm going to talk to you guys today. And let's say this is a small example. I'm having a temperature. I'm I I'm able to get a temperature out of a thermometer or something without a context just a temperature is is no is not going to be a use of it. But let's say I'm going to like put a temperature.
I'm going to take a temperature of an industry or let's say I'm going to take about a metro or a place or a school place or a mall or a hospital. I'm going to take a temperature. So there I will be having a context to it where using the temperature I can able to do stuff which which I can't able to like do it in a in a very using only the temperature I can't able to but if I'm having adding the temperature data it can be industrial robot or it can be an IoT devices or it can be even your phone uh it can be a phone using like in your cars you know automo cars or your anywhere if I'm going to add take a temperature I can able to use the data with a context adding a context to it without a context the data is like a useless it's just a piece of number which is going to show so data plus information and if I'm adding some intelligent and I'm going to like promote some action to it then it will be a full form of saying that is how robotics is working that is how data science are working that is how AI is working now that is how everything which is revolving around us are working even from I think we have been like facing some errors using the communication and all. So each and everything without the proper data and proper information there and I when I'm talking about datas and this things we are like talking about we have to talk about Nvidia because because of this guys only we are getting into the era of like uh everywhere the processing has been like done much more faster ways and we are also able to access lots of information. we can able to like access lots of process lots of informations and we can understand the context of different things Nvidia this are some of the things which Nvidia has been like talking about and they are also talking about something known as next thing to an AI which is going to be like AGIS artificial general intelligence which they are talking about and you guys may be heard about like supercomputers which they are like Nvidia is like trying to like build Google has already added their own supercomputers they are moving towards quantum computers. Quantum computing is also coming into play. When blockchain, when robotics, when IoT and all this new new datas because everywhere we have been like producing enormous of data. So all the data I have been like it's just a piece of a data if without a proper processing units to it. So Nvidia is like some of the guys who has like giving processing datas for different things. I think from your computers till your like appliances even they are for your automo cars, autonomous cars as like from flights till your small like wristwatch, smartwatch they have been like using controllers in different places. So that is one of thing and next thing when I'm talking about datas information and this thing may the all these things have started to grow when AI comes into the play because all these datas like they have started to use this datas to make efficient devices wherever now we are seeing from fitness bands to their daily reports health reports are coming out even like uh I think uh Apple watches are like one of the biggest example they can able to like detect lots of anomalies which is happening running in your bodies which are without anything all these things pay way for something known as like intelligent robotic systems. So intelligent robotic systems uh can you move to the next slide? So intelligent robotic systems are nothing but uh it can it is not something which is like you would have seen like humanoid robots or industrial robots. It's not like that in like intelligent robotic system when I when I'm talking about the term robotics is like all the things which is like using a sensor which has a precision which is like able to like work on its own and do a particular action they are also part of a robots in robotics there are many things they are software based robots which we call as chat bots or RPA all the things are like robots which is like in a software segmentation and we have like in hardware segmentation we have industrial robots we have like most probably now all the bigger plans are moving towards the industrial robots from BI to end and AB like they are using multiple robots even in many cafes also in as well as in US China in China there's like I think if possible you can browse it in YouTube the in China they have a entire hospital which is like controlled by intelligent robotic systems from end to end there's no human is available in that uh like hospital each and everything from the moment you enter into from the hospital to your diagnostics. All the diagnostics has been done all the treatments and each and every step you are there will be an AI system which will be like guiding you. There'll be a robotic system which will be performing the task like surgery treatments and all the things they are like using this is all because of like a different like nowadays they like sensors are getting much more smaller semiconductors are like growing enormously.
uh I think the now the biggest market or the semiconductor markets right now uh I think you can have seen like uh most of the electronics prices are like shooted up even hard drive hard drives and all these things are like shooting up because of the semiconductor prices which coming all these are because of AI which is like coming into the play as well as like some of the things like uh deep learning reinforcement learning DRS deep reinforcement learning all these things are they are putting inside LL modules to make it work more autonomously to make it work more efficiently they are working so when I'm talking about robotics as I told before uh even IoT device is also part of a robotic system only whatever which is like connected together which can able to like perform a task automatedly in an automated way they are part of a robotic intelligence system only so in the next thing uh in this uh robotics agents or we can come call it as a system we have something known AI powered robotics system in the next slide you can able to like see they are like AI powered robotic there's like a small architecture which I given in the next slide yeah uh can you move to the next slide so in AI powered robotics architecture we can see there will be a particular environment as I told before itself the context the context of where you're going to use the data it's going to be the matter we have anonymous data every day we are producing multiple datas each and every second But we have to know that context where I going to use the data for which purpose I'm going to use the data. So here in the AI powered robotics architecture first thing is going to be the environment where you going to then it's going to like precision. So it's going to be like what are the sensors you going to use?
What are the uh end factors we going to use? We call it as endectors which can able to like for example let's take it as a humanoid the ants or legs. They are the endectors which gives you like the final effect to the uh at the end which can able to like perform some action and we have like something known as agentic AI is coming into play. So robotics is not something which which is like contained in one thing. Robotics is like multiple things connected together to make any devices or anything to work automatically. So in actions there will be like multiple actions. We have like few of the things where machine learning comes into the play to make it more machine learning to make it more intelligent using different data sets.
We can integrate an LLM to a robot to make it more more autonomously as well as we have like different sensors which can make it from smaller device. We can we have the interconnectivity which is like which is like the peak of everything without before and all if the when internet connectivity was less so we can't able to like connect multiple devices but now we have like we have S and SA so I having my tab I having my laptops which is all interconnected to one headphone itself so we have this kind of this kinds of interconnectivities like which is happening and after that just like uh as I was talking about the main thing in agentic AI architecture is like where we are using different agents let's talk about in robotics uh let's say I'm in a hospital so as I was talking about a China based hospital which is there you can see it in the next slide so I just given a how a gen like used in robotic system so the first thing is like as I told the cognitive modelings where reasoning is there happening where decision making and planning is like happening So for that we have a multiple datas which will be like working with machine learnings or deep learning algor DL algorithms or DRL which is D reinforcement learning algorithms or RL algorithms all the things which is making the system much more okay. So that will be considered as one agent. So in our company we have been like developing one of the agentic software.
It is for an autonomous mobile robot. We call it as AMR for cleaning purpose and all. there in that we have like three agents will be like working together in that cognitive part itself where we'll be like working on with datas from the image data image datas. So that will be like having a it has a separate data set will be like working with the different algorithm and the back ends and everything is like different and we have another agent will be like having working with the sensor data. We have something known as ROSS robotic operating system where for connectivity it acts as a middleware where you can able to like connect all the agents together and make it work autonomously and in that uh in that cognitive model we have another model for localization for moving around we have a different algorithm which is working and that acts as an agent. So all this for one command if it has to like the robot has to like process the MR has to like process one command it has to go through like multiple aic layers then only it can able to like come out to the decision and it will be like making the bot move or do whatever it is there and second thing is the communication model as I told before itself there will be like multiple sensors for example in our robot which we are using we have like 18 different sensors which will be like providing 18 different uh datas it and it is also everything are real time datas. So the communication is also an important thing where we will be like having different for example let's say I'm talking about IR sensor I will assign I have been like assigned specific agentic AI for getting the datas from the IR sensor and producing it and we have like lidas lidas and radars and we are like im images also for each processing and communication mode also we'll be like using to communicate with the as I told before itself between the process processor as well as the communication device as well as the sensor. we have like AI nodes like agentic AI nodes agents nodes will like working as a middleman and after that we have like action model so to make it the action much more quicker for executing the action we will be like for in our robot as I told it's a cleaning based robot so it has like multiple boards like mopping it can able to like pick and place the things which is like for example if it's a dirt or a socks which is there it can able to like pick it up and it can able to like put in wherever the assigned destination is there for each action to get the datas from the data set as well as from the communication module it there there's an another we call it as a master I think an agent in the computer science we we'll be like calling different terms it is also form of agent we have a master and slave kind of a thing where different agents will be like coming as one master agent will be there and multiple slave agents will be like working in the agentic architecture So and that is the that is the place where it will be like helpful for to execute the decisions based on the input data and the precision model as I told before uh this communication model and the precision model will be like working together to form an input and output device. So that are a few of the things which is the working so but now the technology is also growing. This is all like previous architecture which you are working on. Now what we are doing is instead of like building a putting a fund because we are also a startup boot startup we can't able like invest too much of money into the into the product development because it's like when I as I were talking about if I'm going to for a jet analog it's going to be like cost me millions of like in hundreds of dollars for able to like just create a prototype out of it. So here we have something known as like a digital twinning system which is like now it's taking place we can able to like create in a digital environment we can able to like test it or few of the softwares which we are using are like gazeos gazebo and for robotics they are using it and using unity we can able to like develop the environment instead of I'm like placing it in the real world I can able to like uh I can able to like put it my devices wherever it is like possible I can able to simulate it in whatever manner I want. So digital tin is like one of the things which is like working and here we are like also connecting it uh connecting it with IoT devices also together. So these are the two technologies which we are like working digital and IoT and we have something called as the A IoT devices also which we are working on nowadays everything are moving with IoT and AI connected together all the sensor precision modelings and all the things are moving towards the IoT devices are there and uh in the next thing you can see as I was talking about A IoT devices uh where the IO I think everyone knows what is IoT device right in the next slide you can able to like if possible let's change to the next slide and in a IoT devices we have like where we are putting an AI AI to it AI means we are putting a machine learning or algorithm to to make the IoT devices much more work this is where the place we are having something known as like cloud computing we are involving the cloud computing we are having the edge computing systems this this is the place where nowadays AI are using lots of edge computing as well as AI in the cloud This is where we connect we can able to like connect different algorithm to make it systems work autonomously. In the next slide we have the I have like given a small IoT like case study because of the time I was unable to take the case study on the AoT based prediction maintenance. So in a slide I just have our architecture of it how architecture how different agents are working together. So another important thing which I want to like talk about is like uh with the next one which is going to be like uh the new uh thing which is like the blockchain the security wise because of this AI IoT devices A IoT and lots of cloud computing has been like involved in it. Uh there's the need of like security and there's need of like validation to be like happening. So here uh in the next thing I can able to like see there are like different applications user application where cloud storage brings us the data to make our edge computing work and blockchain is like used we are like connecting all the things as I told before robotics is something which will be like connection we can able to like connect everything it's like let's take it as it's like a mix of where you put all the things together and blend it together it's like a blender together so we for security purpose we are using blockchain we are using like for decentralized data databases to make it more work efficiently and to also secure the data we are doing it and we are connecting it to the IoT layers to make the datas which we are collecting from let's say like for healthcare datas which is all sensitive datas we need to add extra security layer between the AI as well as with the datas with sensor datas which we are doing so in in between we have the like for getting the records and as well as the transaction we are having adding blockchain to it as well as in the precision layer. Uh it can be anything AIDS, robotics, autonomous cars, whatever it is there which is collecting the data there comes under the precision layer. So what are the benefits of AI which is like used in data like robotics as well as in the block blockchain system is like first thing is the the like data management you can able to like manage the data and as well as the transaction and the main important thing why robotics are like started they started to do the research and start to work it's because of this security measures only because the data I think recently there was one of the videos which is coming out we can able to like act into our like headphone phones uh headphones and we can listen what other person is able to like listen. So all the things need lots of lots of security to be like added because IoT device like your Bluetooth device anyone can able to like access it anyone can able to like pair it up they can like intercept the data and they can pick up the data. So for that the security measures are it has to be like done as well as because there it is no more and more data management innovations are also happening in that particular thing in robotics you can see in the next one next slide they are used for like decision making blockchain has been like used in robotics and AI for ensuring the security this all the things as well as in decentralizing the data storage. So this was few of the things which is like using and um as as time I was spending nowadays robotic like everything which you are seeing from autonomous cars are coming in autonomous drone systems are coming in nowadays the even the warfare warfare has started to like get into the mode where everything is like autonomous autonomous cars autonomous vehicles I think even way more is like coming up with autonomous bikes also they're coming with the bike bike bike bike service which is like which is also going to be an autonomous thing and for this we have like multiple things which is going on when I'm talking I think we are al already in a era of like AI which is like every day new AI agentic AI system is coming new generative AI programs has been like coming uh Gemini is like coming up with new new features charge is doing the cloud is like we can able to like create any program within a second using cloud clouds so all this AI LLM are developing as well as along with it we something with AI, robotics and AIoT and blockchain which is all connecting together and building the next new things which is going to come as companies like uh I think now in for the football match also they are like using Atlas. Atlas is one of the things which is like compatible of using AI robotics as well as IoT. In the next slide you can able to see that uh to conclude with it uh I just want to uh come up with the conclusion where this things AI robotics AI IoT this is all they going to be in the uh in the upcoming years within one or two years they are going to be the much more bigger volume when adding blockchain to it we are adding an extra layer of security for IoT devices as well as robotics devices also so these are some of the things I just want to like share my experience my doctoral experience on it. If you want you can able to like connect us regarding if you are any projects oriented you can connect me with me. I able to like share my question. I think most probably they can you can connect me through LinkedIn for anything and thank you very much for team for uh giving me this opportunity and thank you guys for your patience also for waiting this long. So thank you guys.
>> It was worth it.
>> Yes. Thank you. I think I think uh one one uh one thing I'd like to say about first of all thank you so much Besie for giving us that uh detail presentation.
Um I think one thing I want to say is yeah you're right like we have uh autonomous agents autonomous cars autonomous like everything's going to become autonomous at at you know at at some point to some extent in the next couple of years. Um guess the biggest question >> and this is the future like we we believe like we will together solve with mo. So as of now we started with agents that okay you have agents we are providing I mean autonomous agents are there but again how the kill switch you will bring in that's where my comes in same goes with the I think robotics industry IoT and I think contextual intelligence with Mr. Wesley was talking about. So I think it's it's a wonderful category to look into no doubt on that.
And uh I think Moy will be able to cater the dynamic future where okay you'll be able to have like even warship like warfare which Mr. Besley mentioned is something uh like close to me just because I have few friends who are working specifically in autonomous warfare related crafts. So there again if you have these warcrafts how will be how will you able to you know work make them work on your behalf that's where you need uh uh like authority which is user centric which is participantentric and that's where moy comes into so that's what I think is interesting >> yeah yeah adding that human into the loop that's kind of what we're all about with that participant layer and it's kind of exactly like you said with AI robotics and agentic logics all working at machine speed. It's important that we have that like trust layer at machine speed, too, which is exactly where we fit into all of this. And so, it's very cool to see how we'll progress in the future. Um, but yes, thank you again, doctor. That was quite insightful and very, very exciting. Um, we're so sorry you had so many technical difficulties, but once we got off the ground, it was super exciting. Um but yeah, with that we would love to close off for today.
Thank you so much. Um to our guest speaker and to the MOY community that was here with us for all of it today and just every day. Um we have so much happening all the time. So you know we have more SDK releases, podcast, campaigns, and just so many exciting things that you may have noticed through this call. Um lots of hidden Easter eggs. So definitely join our Discord because that's where you find a lot of builders. That's where you can have some fun with us with our game nights and that's definitely the fastest way to communicate with us. Um, but if you like our content X and LinkedIn always has some content and if you like our video content, our YouTube channel is always posting. So definitely be a part of this family. We are officially at the oneyear mark which is super exciting. We're so grateful for all of you that have come with us on this journey. As we always say, we are building this with you guys and not for you guys. We want this to be a open learning space and that's what we're always trying to do. So all feedback is good feedback as well. And yeah, thank you until next time. We are so excited to be able to do this for you guys every week or every month. And yeah, thank you so much, Pew. Thank you, Audi. And thank you Dr. Wesley for your time today.
>> Take care everybody. Bye bye.
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