Edge AI and IoT Integration: A Deep Dive

Summary

In this Goodman podcast episode, Raj and Megan explore the integration of Edge AI and IoT, discussing how these technologies are revolutionizing daily life. Raj explains that Edge AI allows for AI to function locally without internet, which is crucial for remote or critical applications like healthcare. They touch on the impact on data privacy, the potential for human-AI interfaces, and the future of AI in enhancing human capabilities. The conversation highlights the importance of AI's role in creating more reliable, independent devices and the exciting possibilities on the horizon.

Takeaways

• 🧠 AI stands for Artificial Intelligence and is a technology that enables machines to perform tasks that would typically require human intelligence.
• 🌐 IoT refers to the Internet of Things, a system of interrelated computing devices, mechanical and digital machines that are provided with unique identifiers and the ability to transfer data over a network.
• 📍 Edge AI is a form of AI that operates on local devices without the need for internet connectivity, making it suitable for remote locations or situations where internet access is unreliable.
• 🌱 Examples of Edge AI in action include agricultural drones for weed removal and smart glasses that can read content without an internet connection.
• 🏥 Edge AI can be crucial in critical environments like hospitals, where a loss of internet could lead to serious consequences, ensuring devices can function independently.
• 🔒 Edge AI offers enhanced data security by keeping data processing local, reducing the risk of data breaches that can occur with cloud-based systems.
• 🛠️ The integration of AI and IoT is leading to smarter devices that can operate more independently and provide more personalized services.
• 🔄 There's a shift back towards standalone devices that operate independently of the internet, similar to how software used to work before the cloud era.
• 🚀 The future of AI includes direct interfaces with humans, such as brain implants and augmented reality devices, which could revolutionize how we interact with the world.
• ⏰ As AI continues to evolve, it's expected to play an increasingly significant role in our daily lives, from enhancing accessibility to improving decision-making.

Q & A

What is the main focus of this Goodman podcast episode?

The main focus of this episode is the integration of Ed AI and IoT, exploring how these technologies work together to change our interactions with the world around us.

What does AI stand for and what is its basic concept?

AI stands for Artificial Intelligence. The basic concept of AI discussed in the podcast is the ability to use smaller language models within a local environment without needing to be connected to the internet.

What are some examples of large language models mentioned in the podcast?

Some examples of large language models mentioned are GPT, Anthropic, and llama. These models require the internet and significant computational resources due to their large size.

How does Edge AI differ from large language models that require the internet?

Edge AI allows for AI to function within the constraints of a local environment, such as on a device, without needing to connect to the internet. It's designed for single-purpose or restrained language models that operate locally.

What is an example of Edge AI being used in agriculture as mentioned in the podcast?

An example given is a weed removal drone in agriculture that uses AI to identify and remove weeds without an internet connection, based on images it has been trained on.

Why is Edge AI important for devices operating in remote locations?

Edge AI is important for remote locations because it allows devices to function independently without an internet connection, which might be unreliable or unavailable, ensuring continuous operation.

How does Edge AI impact the reliability of devices, especially in situations where the internet might fail?

Edge AI provides a fail-safe by allowing devices to operate independently of the internet, ensuring they can continue functioning even if the internet connection goes down.

What is the significance of Edge AI in terms of data security and privacy?

Edge AI can enhance data security and privacy by storing and processing data locally, reducing the need to send personal information over the internet and potentially avoid tracking by third parties.

How does the podcast discuss the future of AI and its integration with human lives?

The podcast suggests that AI integration with human lives is inevitable and will lead to total automation, making our lives easier and more efficient, with examples like AI-powered devices assisting visually impaired individuals or enhancing decision-making.

What are some potential applications of AI in personal devices as discussed in the podcast?

The podcast discusses potential applications like AI providing customized recommendations in a tea menu, or AI in smart glasses suggesting the fastest route or warning of danger areas.

Outlines

00:00

🤖 Introduction to Ed AI and IoT Integration

In this episode of the Goodman podcast, the host introduces the topic of Ed AI and IoT integration. The conversation is aimed at demystifying the concepts of AI and IoT for the audience. Raj, the guest, explains that AI can be implemented in a local environment without an internet connection, contrasting it with large language models like GPT that require internet access. He uses examples such as agricultural tools and healthcare devices to illustrate how Ed AI can be used in remote areas. The discussion also touches on the potential of AI in everyday scenarios, like using AI-enabled sunglasses to read content without an internet connection.

05:02

🌐 Real-world Applications of Edge AI and IoT

The second paragraph delves into real-world applications of Edge AI and IoT. Raj provides examples of devices that operate independently of the internet, such as medical devices that must function reliably even during internet outages. He emphasizes the importance of having AI capabilities built into devices for critical operations where internet connectivity cannot be guaranteed. The conversation also highlights the growing need for localized AI solutions in various sectors, including home security and remote operations, to ensure functionality and safety in the absence of internet connectivity.

10:03

🔒 Data Security and the Future of Standalone Devices

In this segment, the discussion shifts towards data security and the benefits of having data stored locally rather than in the cloud. Raj points out the risks of relying on internet-connected devices in sensitive environments like hospitals, where an internet outage could lead to significant disruptions. The conversation also explores the cyclical nature of technology, where we are moving back towards standalone devices that do not require constant internet connectivity. This shift is driven by the need for more reliable and secure options, as well as advancements in battery technology and alternative power sources like solar power.

15:04

🚀 The Inevitability of AI in Daily Life and Human-AI Interaction

The final paragraph speculates on the future of AI and its integration into daily life. Raj and the host discuss the potential for AI to enhance human capabilities, such as assisting visually impaired individuals or improving mobility for those with limited physical abilities. They also touch on the development of AI-powered hardware like Apple's Vision Pro and Google's AR goggles, suggesting that these technologies will enable a new level of human-AI interaction. The conversation concludes with a look forward to the continuous evolution of AI and its profound impact on the way we live and interact with the world.

Keywords

💡AI

Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. In the video, AI is discussed in the context of both large language models that require internet connectivity, like GPT, and smaller, more localized AI models that can operate independently, known as Edge AI. The script mentions how AI is being integrated into various devices to enhance functionality and user interaction, such as in smart home devices and agricultural tools.

💡IoT

The Internet of Things (IoT) is a system of interrelated computing devices, mechanical and digital machines, objects, animals, or people that are provided with unique identifiers and the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction. In the script, IoT is discussed as a technology that connects smart devices to the internet, enabling them to communicate and exchange data, but also highlighting the need for Edge AI to ensure functionality in scenarios where internet connectivity is not available.

💡Edge AI

Edge AI refers to the deployment of AI models and processing at the edge of the network, close to the source of data generation, rather than in a centralized data-processing warehouse. This allows for faster processing and real-time responses, which is crucial for applications that require immediate decision-making without internet connectivity. The script discusses Edge AI in the context of devices operating in remote locations or situations where internet access is unreliable, such as agricultural drones for weed removal.

💡Large Language Models

Large Language Models (LLMs) are AI models designed to understand and generate human-like text based on the input they receive. They are typically trained on vast amounts of data and require significant computational resources. In the video, LLMs like GPT and anthropic are mentioned as tools that require internet access due to their size and complexity, contrasting with the more nimble and localized Edge AI models.

💡Remote Operations

Remote operations refer to the ability of devices or systems to function effectively in locations that are far from the central control or support systems. The script emphasizes the importance of Edge AI in enabling remote operations, such as in healthcare or agriculture, where a stable internet connection may not be available. It gives an example of a drone used for weed removal in farms that operates independently of the internet.

💡Data Privacy

Data privacy is the practice of collecting, storing, and sharing personal information in a way that prevents unauthorized access or use. The script touches on the benefits of Edge AI in enhancing data privacy by allowing data to be processed locally on a device, rather than being transmitted over the internet to cloud servers. This can reduce the risk of data breaches and protect user privacy.

💡Fail-Safe

A fail-safe is a system designed to automatically respond to a failure in another system, preventing a catastrophic event or allowing for a safe shutdown. In the context of the video, Edge AI serves as a fail-safe for devices that need to operate reliably even when internet connectivity is lost, ensuring that critical functions can continue without interruption.

💡Automation

Automation refers to the use of technology to create, modify, and manage processes to reduce human intervention. The script discusses the role of AI and IoT in advancing automation, particularly in areas like healthcare and agriculture, where devices can perform tasks with minimal human intervention, improving efficiency and safety.

💡Smart Devices

Smart devices are electronic devices that can connect to the internet and perform tasks or provide services beyond their basic functions. In the script, smart devices are mentioned as part of the IoT ecosystem, where they can communicate with each other and respond to user commands or automated triggers, such as home security systems and voice-activated assistants.

💡Augmented Reality

Augmented Reality (AR) is a technology that overlays digital information onto the real world, enhancing the user's perception of their surroundings. The script speculates on the future of AR, particularly with devices like Apple's Vision Pro, which could integrate AI to provide users with real-time information and insights, such as navigation assistance or identifying objects in the environment.

Highlights

Exploring the integration of Ed AI and IoT and their impact on daily life.

AI allows for smaller language models to operate within local environments without internet connectivity.

Examples of large language models like GPT and anthropic that require internet and GPUs to function.

HAI enables AI to function in low-connectivity areas, such as remote farms or healthcare.

Rayban's collaboration with Meta to create sunglasses that can read content without internet.

Agricultural drones using HAI for weed removal, showcasing localized AI in action.

The necessity of Edge AI in medical devices for uninterrupted functionality during surgeries.

IoT devices like smart home security systems that rely on internet connectivity.

The potential of Edge AI to provide a fail-safe for devices in unpredictable situations.

The evolution of technology from standalone devices to internet-dependent and back to standalone with Edge AI.

Data security benefits of Edge AI, as local data storage can prevent personal information from being sent over the internet.

The challenge of centralized AI in critical environments like hospitals where an IP block can disrupt multiple devices.

The future of AI in human augmentation, such as Elon Musk's brain chip initiative.

The potential for AI to provide personalized recommendations, as demonstrated by a tea selection scenario.

The inevitability of AI-powered human interfaces and their role in total automation.

Anticipation for Apple's AI developments and their potential impact on human decision-making.

The importance of keeping up with new developments in AI and IoT integration.

Transcripts

[Music]

welcome back to another episode of the

Goodman podcast where we are exploring

the ever evolving world of technology um

in this episode we're diving head first

into the realm of Ed Ai and iot

integration now these terms might sound

quite intimidating if you're not

familiar with AI but don't worry uh Raj

is going to be breaking it down into

b-size pieces uh and helping us

understand how these Technologies are

working together to change the way we

interact with the world around us so

like always Raj I think probably the

best place to kick off is to have you

explain in simple terms what H Ai and

iot actually mean and how they're

currently being used in our daily lives

sure thing Megan good to see you again

and good to be back on the the goodwi

podcast but uh yeah I wonder why

AI marketeers like to to have these

difficult names for something very

simple I mean why can just have you know

llms a large language model like long

acronyms and why can this make a simple

one for something simpler but anyway

let's dive into it as you mentioned

earlier about what is AI versus iot so

AI is the the it's a basically a concept

where you can put in smaller language

models in the constraint of a local

environment without having it to talk to

the Internet so let me explain break it

down

further we know about tools like tat GPT

anthropic you know different Lang

language models like llama these are all

considered to be large language models

they require the internet to use them

it's because they have been stored

somewhere in a big enough service based

capacity with gpus to run them because

they are humongous in size they can take

care of multiple

requirements but imagine a case where

you're not link to the internet you're

some very remote for example say you're

a farm for instance or if you want

something which is bit more smaller and

Nimble hasn't require every time use it

that's when that's where Hai comes in

Hai allows us the ability to have ai

within the constraints of a Lo class

environment could be in our in our in

our Tactical for example could be in the

case of a a form where you have a

agricultural uh tool for example maybe

remote uh in in a remote part for

healthcare for

instance the aim really is to make life

easier by having single purpose or

restrained language models which are

available in cons environments you going

to go to the internet to use them they

are fully operational locally itself on

your device or with a new

tool so kind of like uh if you're on a

on an airplane um on an international

flight and you don't want to pay for the

Wi-Fi connection you can still use your

device in in airplane mode um and

connect to these large language models

if you've obviously got the app and and

so on yeah absolutely so I just saw a

video of yesterday of of uh Facebook

working with Rayban and from what I'm

hearing is that Rayband which are the

sunglass company have used meta which is

X Facebook uh

meta uh models to be able to read

content for you and give what it knows

about it so without having put it to

connect to the internet and read to the

to the Heap seeds of data you can you

can use it and the same can be used for

example I saw one more video of

a a I I don't know what that is called

in agricultural terms but it's sort of a

it's a it's a it's a Ved remover so if

if it goes through there's a camera in

it and it kind of hes around it's

basically like a drone and it has a bed

where it identifies there weed with the

crops it'll just burn it out like just

like release fire it's like you know

it's Lally like scary be honest with you

if it's ited wrong purposes as well but

the purpose of weed removal in the Farms

seemed ideal so that's completely in the

Drone itself the link to the internet

and can it has been trained just do one

job properly that just to remove wheat

based on the images it's been given so

it's been trained on only images around

weed it's not been trained on for

example planets or you know what

computers and it only knows one thing it

is really well asire internet it can be

stored in a in a localized space uh

enough to kind do this job well yeah

yeah now um that kind of leads into my

next question because you obviously

mentioned operating in remote locations

with limited internet um and this is

obviously a real world example um but

are are there other examples that you

can give of devices that are already

kind of thriving having Off the Grid and

what uh what kind of impact this is

having in in the real

world absolutely I I believe there is a

space and place for localized Edge Ai

and this case for large language models

connected to the internet typically

that's also called iot as well internet

of things where you have Smart devices

for example the and you say hey Google

and Google reacts to it or you have a

camera you know is like looking at your

home security and making sure things is

fine and Rings alarm and there's a

burgler coming in these are all iot

examples these all things are L to the

internet there a place for

that but they Al They also is a

requirement for scenarios where you

don't need to clink to the internet

every time you you need it for example

in the case of medical devices imagine

you middle of operation and you lose

Internet

you can't just leave the patient high

and dry on the operation operating

theater you have to S do the surgery and

so for those cases having the power the

the AI all built into it it's a much

better and a much safer way to operate a

person as opposed to having it linked to

the internet every time and V goes down

you know all Health breaks lose so there

is a case for large language models for

example in the case of home security if

the internet goes off for a few seconds

it's not the end of the world but in

some cases where the internet if goes

away it can cause it can cause a life or

death situation you want to avoid that

and so there's a there's a case to kind

of build a AI device itself so it can do

it job do it job well and can also fall

back to the internet if it requires to

for more advanced level of operations

skills yeah yeah now I read uh somewhere

recently that um the in terms of like

medical tech for example um they have

had some success in imp planting um you

know tech devices in somebody's spine

and enabling them to walk again and the

whole thing was kind of worked on Wi-Fi

that connected the the brain to this

thing in the person's spine now

obviously that would would be

catastrophic um for there to be kind of

a a loss or or a failure in that Tech

because uh the person you know would

would fall down or potentially hurt

themselves or you know now

um you know taking a step back uh as

somebody that's running an online

business um we often encounter

frustrating instances of tech failing

when the internet goes down so you can't

necessarily compare that to somebody

who's you know walking again and the the

connection fails versus like now in

South Africa we've got load shedding for

example and so um batteries running

Wi-Fi towers and that kind of thing

sometimes fail because of the lack of

electricity but you know the the the

failure of Technology if the internet

goes down I mean it's got very vast wide

ranging consequences for individuals and

businesses and society as large so how

does Ed a I Empower devices to be more

reliable and independent um in

especially in unpredictable situations I

mean um you don't really know when your

internet connection could go down so

Edge really kind of provides like a fail

safe for that doesn't it it does it does

as I was mentioning earlier with AI the

device is independent of rely on

internet it potentially can rely on

internet for much bigger unus ual or

very customized bespoke roles or

jobs the majority of the function is

within the device or the tool itself and

that allows it to

be a full complete device the thing is

over the last few years we got so

reliant on

using devices to link to the internet

best example would be telephone

telephone at one point had no internet

but I can't imagine the time that my

smartphone doesn't have any Internet to

it like that be like what's the point of

having a phone doesn't have internet to

in it it's like that doesn't work for me

at all but there was a time when use

phones were actually phone calls and and

and then then came text and then came

you know emails to blackberry and then

now internet right but there is

still a rule and a case or very

important or

remote devices used remote in remote

situations where we need to not rely on

internet for our connectivity they can

be linked to the internet to update them

to cause them to kind of you know to to

reboot and then kind of refresh them but

they operate independent the internet

and that allows them to be safer and

complete device on its own on and with

the power supply now being you know

battery better lighter you know the the

Advent of solar power for example coming

in and who knows what happen with

nuclear nuclear energy and everything

else we we should be able to have

devices which are stand alone and that

will really help us to have a better

backup options and more secure options

as well yeah now on that point about

data security obviously uh protection of

personal information is a growing

concern for everyone um having your your

data stored locally as opposed to being

sent to a cloud in order to get uh you

know like asking a an edge AI on your on

your local device versus asking Google

you know there's uh you're not sending

your personal information over the

Internet maybe um you could go into

other impact the other impact that this

might have I mean um we we've got

marketing for example I know we we're

kind of moving into a cookie lless uh

environment but this kind of thing is

going to prevent you know uh cookies

from tracking you over the internet and

um and Market is being able to uh

collate data on you to push ads and that

kind of thing so um I don't know if if

that is uh necessarily the biggest issue

surrounding data privacy um um but uh

yeah maybe you you can just walk us

through through that a little bit as

well well before we go into Data privacy

I think the bigger issue is for example

say you are in the hospital environment

and everything is linked to just for now

just imine open AI they have a smart bed

they have a smart I don't know meter for

meas the heart and other other vital

organs they have all these other things

linked to to open open a or any L

language model and suddenly they realize

that well this IP address is

causing like spam or challenges with the

with our system and they blocked the

entire

IP suddenly all devices in the internet

uh on the in the hospital stop

working that can cause a humongous

challenge especially if it's if it's an

error M and we can't have that in in a

in especially in hospitals or other

Critical Care

situations that for me is a big

Challenge and that's a

big case where we should actually have

ai which is a fully remote relevant

working condition for

these in my

opinion we go in

Cycles in Cycles what I mean is there

was a time when we bought devices we

bought products to a standalone you

bought a CD a software and you were done

and nowadays we like then we were like

no no CDs are bad who wants DVDs and CDs

we will get subscription on the internet

and we will like buy the the product and

we'll get updates all the time and it's

all on the internet now we're going back

to where we came from whereby we being

building stand on products and it's

possible

because

every big company like La llama by meta

like open AI doing the chat GPT they're

building building or looking to

build a smaller installment or

installation of large language models

which are called Ai and I think that's

was very interesting and will keep

evolving because we need that also just

to add to what we said said earlier

about implanting things in people's

spine or brain Elon Musk recently is

announced about implanting chips uh

within the brain and I think that's

going to be really interesting I was

just thinking about I did a video

yesterday about the implication of AI in

our lives I give I'll demonst you the

example my wife and I went for a a a

date afternoon not datee evening date

afternoon and people went to have tea

went to a place called twg which is

Singaporean brand and they I think they

had 100 different type of TW in the menu

jeez yeah and you're like how the hell

would I choose one te to like you ask

the waiter for their recommendation they

give like non-customized most expensive

items in the menu so what did I do took

a picture of all the entire many POS

chat gbt and said this is my interest

like what should I what should I

what should I drink give me three

customized options one of them was

basically a tea which tastes like it has

milk in it but it has no milk whatsoever

no whatever so I'm intolerant and I

can't have you know I can't have milk in

my in my tea this is like it's a it

tastes creamy by default like well I've

come to have expensive tea might well

have one of those that have a you know

Bo standed sort of you know old gray or

or or green tea so so so I think when

you have that ability in our in our

brain for example or potentially in the

Apple Vision Pro we look at stuff and we

we can know that okay this path or this

restaurant or this or this path of the

fastest route to to my destination or

this car will get me there quicker or

this is a danger area Mak much makes

much more smarter and more prepared for

life I think that is where a will really

impact our lives and all is possible to

L language models but also with smaller

language models we should be able to

achieve that as well and I think this is

a very interesting space which is very

promising alongside other all the other

areas of of AI coming up in this space

yeah yeah um so now that's obviously

we're looking at the future you you

mentioned um the the Apple uh AR thing

um the the goggles I know yeah uh Google

was also developing something similar um

so um is is that where it's going is it

going to become like this human AI

interface are are we going to end up

interacting with the real world through

an AI

assistant I believe strongly that's

inevitable that there is going to be no

other way apart from

Hardware which is AI powered assisting

us across with whether as to people who

are perhaps visually impaired for them

to see people who are who can't who are

not able to potentially walk or run to

be able to do that better to make our

lives easier this is the beginning this

is the beginning of

total Automation in our

life and this will continue I don't

think it's going to ever stop and this

is why you know when we think about why

Elon Musk can't sleep because he's

thinking about the future of of humanity

with AI is because the reality is he

understands that we are jumping into

this very quickly and it's it's possible

now already we can see that Apple

launches this this Vision Pro and

there's no killer app yet for the Vision

Pro people debating what that might be

well Apple announced they're going to

launch the AI mid this year to

2024 that's it when they launch that and

they have this it's going to give them

the ability to really make much smar

decisions for human beings in the back

of this because it's all it does is like

it's augmenting different things for us

now it augment with intelligence to it

that's the

norra that's amazing um very very

exciting interesting times ahead I think

um so that was essentially a whirlwinds

tour of Ai and iot integration um thanks

Raj for helping us navigate this very

complex Topic in a way that we can all

understand um to the listeners and

Watchers uh Watchers gez my English is

uh has checked out for today uh to to

the listeners and viewers don't forget

to subscribe to our YouTube channel or

follow us wherever you listen to

podcasts and uh yeah thanks again Raj

until next time um let's uh let's keep

our ear to the ground and see what what

new stuff is coming up thank you

[Applause]

[Music]

Megan