Speaker 1: Okay, so, like you know, how our phones are already
Speaker 1: like mini computers. Yeah, but like can they be truly intelligent?
Speaker 1: That's what we're looking at in today's deep dive. Okay,
Speaker 1: it's all about the incredible world of AI on mobile,
Speaker 1: as detailed in this book, Mobile Deep Learning with TensorFlow, light,
Speaker 1: mL Kit, and Flutter. Okay, cool, get ready for some
Speaker 1: serious aha moments, because we're not just talking about like
Speaker 1: the futuristic stuff, you know, we're uncovering how AI is
Speaker 1: already transforming the apps you use every day.
Speaker 2: That's so interesting to me. This isn't just like some
Speaker 2: tech industry buzzword, you know. This is like we're seeing
Speaker 2: like a fundamental shift in what our phones can do.
Speaker 2: It's like they're evolving a whole new level of capability
Speaker 2: right in our pockets.
Speaker 1: Totally. The book has like some seriously cool examples. Oh yeah,
Speaker 1: like think about the photos you can now take even
Speaker 1: in low light, Yeah that still turn out amazing.
Speaker 2: Yeah.
Speaker 1: Or like how Netflix seems to like read your mind
Speaker 1: when recommending movies.
Speaker 2: We're going to unpack all of that and even uncover
Speaker 2: how AI is being used to make our mobile apps
Speaker 2: more secure.
Speaker 1: Wow. So what's really driving all this is the advancement
Speaker 1: in mobile hardware. Okay, so like dedicated chips like Apple's
Speaker 1: Neural Engine or Wilways Cure in nine seventy. Okay, they're
Speaker 1: turning our phones into AI powerhouses. Wow, allowing them to
Speaker 1: perform complex calculations right on the device.
Speaker 2: So we're not just talking about sending data to the
Speaker 2: cloud and waiting for a response. Nope, that's huge. Yeah,
Speaker 2: it means these AI features can work even when we
Speaker 2: don't have an Internet connection exactly.
Speaker 1: And it isn't just about speed and convenience, right, It
Speaker 1: also addresses privacy concerns. Oh okay, by keeping your data
Speaker 1: on your phone, you have more control over what's being shared.
Speaker 1: That makes sense, of course. It's like you know, yeah,
Speaker 1: there are trade offs. Some extremely complex AI models might
Speaker 1: still need the power of cloud computing.
Speaker 2: But the trend is deafly moving towards more on device capability.
Speaker 1: Okay, so now I'm picturing my phone doing some serious
Speaker 1: AI work right under my nose. Yeah, you mentioned AI
Speaker 1: powered cameras. Yes, are they really more than just slapping
Speaker 1: on the filter? Oh yeah, after you take the picture.
Speaker 2: It's way more sophisticated than that.
Speaker 1: Okay.
Speaker 2: AI algorithms are now like analyves, are images in real time.
Speaker 2: As you're taking the photo, they're adjusting things like exposure,
Speaker 2: white balance, and focus to capture the best possible image.
Speaker 1: So it's like having a professional photographer making micro adjustments
Speaker 1: behind the lens. Yeah, except it's all happening instantly thanks
Speaker 1: to AI exactly. So it's not just making a SOSO
Speaker 1: photo look better, it's actually capturing a better photo from
Speaker 1: the start precisely.
Speaker 2: Wow, and this is just the tip of the iceberg.
Speaker 2: Oh wow, when it comes to AI's influence on photography. Yeah,
Speaker 2: but let's switch here's for a second. Let's talk about
Speaker 2: those Netflix recommendations. Ok we all know they're good, but
Speaker 2: how do they get so good?
Speaker 1: Right, it's kind of creepy how well they know my
Speaker 1: taste in movies.
Speaker 2: Well, Netflix uses machine learning algorithms like linear regression and
Speaker 2: logistic regression, Okay, to personalize those recommendations.
Speaker 1: Okay, I've heard of those regression things. Yeah, but how
Speaker 1: do they actually work in Netflix's engine?
Speaker 2: So imagine them as like powerful tools for finding patterns
Speaker 2: in your viewing data. Linear regression it helps the system
Speaker 2: predict how much you'll enjoy a movie okay, based on
Speaker 2: how similar users rated it.
Speaker 1: Gotcha.
Speaker 2: Logistic regression goes a step further, predicting whether you'll watch
Speaker 2: something at all, Wow, taking into account things like genre
Speaker 2: and actors.
Speaker 1: So it's not just looking at what I watched last week.
Speaker 1: It's analyzed a whole bunch of data points exactly, just
Speaker 1: figure out what I'm likely to enjoy. Yeah, that's pretty impressive.
Speaker 2: And the book reveals this detail that really blew my mind.
Speaker 2: Oh yeah, the Netflix engine and actually analyzes your viewing
Speaker 2: history going back a whole year.
Speaker 1: Wow.
Speaker 2: It's taking into account your long term preferences to understand
Speaker 2: how your tastes have evolved over time.
Speaker 1: So even that random documentary I watched six months ago
Speaker 1: is informing what Netflix suggests to me today exactly. That's
Speaker 1: a bit unsettling, but also kind of cool.
Speaker 2: Yeah.
Speaker 1: It makes you realize how much data is being used
Speaker 1: to create these personalized experiences.
Speaker 2: Absolutely, and this level of personalization is only possible because
Speaker 2: of AI.
Speaker 1: Wow.
Speaker 2: But it's not just about entertainment. Another fascinating example from
Speaker 2: the book is an app called Elsa.
Speaker 1: I've heard of the lssay have you? Yeah? They use
Speaker 1: a really fun game like approach to learning right exactly.
Speaker 2: What makes ELSA unique is its use of AI oh
Speaker 2: to analyze your speech patterns and provide personalized feedback. It's
Speaker 2: like having a tutor right there in your pocket, yeah,
Speaker 2: guiding you towards clearer pronunciation. The gamification aspect is clever.
Speaker 2: It definitely makes the learning process more engaging, but it
Speaker 2: does raise questions about long term learning and whether it
Speaker 2: truly builds deep understanding or just like a more superficial fluency.
Speaker 1: That's a good point. Sometimes those quick gamified approaches are
Speaker 1: great for a quick boost, but you don't always retain
Speaker 1: the knowledge as well.
Speaker 2: Yeah.
Speaker 1: So we've got AI helping us take better photos, recommending
Speaker 1: movies will love, and even coaching us on how to speak.
Speaker 1: But I'm curious can AI do more?
Speaker 2: Oh yeah?
Speaker 1: And just these like fun consumer focused things.
Speaker 2: You're about to enter a whole new realm of mobile AI.
Speaker 1: Oh wow, and it.
Speaker 2: Might just change the way you think about your phone's capabilities.
Speaker 1: Okay, now you've got me hooked, let's dive in.
Speaker 2: Okay, So, like, so far we've seen how AI can
Speaker 2: like enhance our creativity and entertainment, But what about its
Speaker 2: potential to solve real world problems.
Speaker 1: Yeah, totally.
Speaker 2: One area where AI is poised to make like a
Speaker 2: huge impact is healthcare.
Speaker 1: Absolutely. I've read about apps that can analyze skin moles
Speaker 1: uh huh to detect potential signs of skin cancer. Yeah,
Speaker 1: or even help people manage chronic conditions like diabetes. But
Speaker 1: is this really happening now or is this still futuristic stuffs?
Speaker 2: Oh? What's happening right now? Those apps you mentioned are
Speaker 2: just the beginning.
Speaker 1: Oh wow.
Speaker 2: Imagine AI powered diagnostic tools that can analyze medical images
Speaker 2: with greater accuracy than human doctors, or like personalized treatment
Speaker 2: plans that adapt to a patient's individual needs and responses.
Speaker 2: These aren't just pipe dreams. Researchers are making incredible strides
Speaker 2: in these areas.
Speaker 1: That's pretty amazing. Makes you wonder if our phones will
Speaker 1: eventually replace our doctors huh. But seriously, the potential for
Speaker 1: AI to like democratize access to quality healthcare is huge,
Speaker 1: especially for people in remote areas or underserved communities.
Speaker 2: Exactly, And it's not just about diagnosis and treatment can
Speaker 2: also play a vital role in preventative health. Pair Oh,
Speaker 2: imagine wearable sensors that track your vital signs and use
Speaker 2: AI to detect early warning signs of health issues, allowing
Speaker 2: for timely interventions.
Speaker 1: Okay, that's kind of blown my mind. It's like having
Speaker 1: a personal health coach on your wrist, keeping a watchful
Speaker 1: eye on your well being. But with all this data
Speaker 1: being collected, I can't help but think about the privacy implications. Yeah,
Speaker 1: how can we ensure that our sensitive help information is
Speaker 1: protected when AI is involved.
Speaker 2: That's a crucial question, Yeah, and one that researchers and
Speaker 2: developers are actively addressing. As AI becomes more integrated into healthcare,
Speaker 2: data security and privacy are paramount. One promising approach is
Speaker 2: something called federated learning.
Speaker 1: Federated learning that sounds like something out of Star Trek
Speaker 1: uh huh.
Speaker 2: It might sound futuristic, Yeah, but it's a very real
Speaker 2: and innovative approach to privacy preserve AI. Think of it
Speaker 2: like this. Instead of sending your raw data to a
Speaker 2: central server for analysis, imagine multiple devices like our phones,
Speaker 2: collaboratively learning from each other's data. Okay, without ever actually
Speaker 2: sharing that data.
Speaker 1: So the information stays on my phone. Yeah, but the
Speaker 1: AI model still benefits from a larger, more diverse data
Speaker 1: set exactly. That's brilliant It's like AI is learning by
Speaker 1: whispering secrets, sharing insights without revealing the actual content of
Speaker 1: the conversation.
Speaker 2: That's a great analogy. Betterted learning is just one example
Speaker 2: of how developers are working to ensure that AI in
Speaker 2: healthcare is both powerful and privacy conscious. But let's step
Speaker 2: back from healthcare for a moment and revisit something we
Speaker 2: talked about earlier, AI and security.
Speaker 1: Right. You mentioned how AI can be used to make
Speaker 1: our mobile apps more secure. Yeah, but isn't there a
Speaker 1: flip side to that coin could an AI also be
Speaker 1: used by hackers to like expl BLOITD vulnerabilities or launch
Speaker 1: more sophisticated attacks.
Speaker 2: It's true that any powerful technology can be used for
Speaker 2: both good and evil, and AI is no exception. Just
Speaker 2: as AI can be used to strengthen security, it can
Speaker 2: also be exploited by those with malicious intent. We're already
Speaker 2: seeing examples of AI being used to create more convincing
Speaker 2: phishing attacks or to bypass facial machognition systems.
Speaker 1: So it's like an ongoing arms race with AI playing
Speaker 1: both sides of the field. What can we as users
Speaker 1: do to protect ourselves in this new AI powered landscape?
Speaker 2: That's where awareness and education come in. Staying informed about
Speaker 2: the latest AI advancements and understanding the potential risks as
Speaker 2: well as the benefits is crucial. It's also important to
Speaker 2: be cautious about the information you share online and to
Speaker 2: use strong passwords and two factor authentication whenever possible. Remember,
Speaker 2: even as AI evolves, basic security hygiene remains.
Speaker 1: Essential good advice. It's a reminder that we can't just
Speaker 1: blindly trust technology, even if it promises to make our
Speaker 1: lives easier or more secure. We need to be informed
Speaker 1: and proactive.
Speaker 2: Absolutely, and as we move further into this age of AI,
Speaker 2: critical thinking will be more important than ever. Okay, but
Speaker 2: let's zoom out for a moment and consider the bigger picture.
Speaker 2: We've talked about the impact of AI on photography, entertainment,
Speaker 2: health care, and security, but what are the broader implications
Speaker 2: of AI on mobile I'm.
Speaker 1: Thinking about its impact on society, the economy, and even
Speaker 1: the way we think about ourselves as humans. Are we
Speaker 1: headed towards a future where our phones are making all
Speaker 1: the decisions for us.
Speaker 2: That's a question philosophers and science fiction writers have been
Speaker 2: grappling with for decades. But the reality is that AI
Speaker 2: is already shaping our lives in profound ways, and its
Speaker 2: influence is only going to grow. On the one hand,
Speaker 2: AI has the potential to autumn tasks, increase efficiency, and
Speaker 2: create new opportunities.
Speaker 1: It could lead to breakthroughs in healthcare, education, and countless
Speaker 1: other fields. But on the other hand, there are valid
Speaker 1: concerns about job displacement as AI systems become capable of
Speaker 1: performing tasks previously done by humans. Yeah, and there's the
Speaker 1: ever present question of control. As AI becomes more sophisticated,
Speaker 1: how do we ensure that it remains a tool that
Speaker 1: serves humanity rather than the other way around.
Speaker 2: These are some weighty questions. It seems like there's a
Speaker 2: lot to consider as we navigate this new era of AI.
Speaker 2: Is there anything we as individuals can do to shape
Speaker 2: the direction of this technology?
Speaker 1: Absolutely, Engaging in informed discussions like the one we're having
Speaker 1: now is a great starting point. Supporting organizations that are
Speaker 1: working to develop ethical and responsible AI is also crucial,
Speaker 1: and as consumers, we can choose to support companies that
Speaker 1: are prioryizing privacy and transparency in their AI development.
Speaker 2: So it's not just about passively observing the rise of AI.
Speaker 1: It's about actively participating in shaping its future. Yeah, this
Speaker 1: deep dive is making me realize that AI isn't just
Speaker 1: a technology. It's a societal force that will impact every
Speaker 1: aspect of our lives.
Speaker 2: Well said, And as with any powerful force, Yeah, understanding
Speaker 2: its potential and engaging with it thoughtfully is essential.
Speaker 1: Right.
Speaker 2: But let's shift gears for a moment and talk about
Speaker 2: the tools and technologies that are making all of this possible.
Speaker 1: You mean the nuts and bolts of how AI actually
Speaker 1: works on our phone exactly.
Speaker 2: We've touched on some of them already, like on device
Speaker 2: AI chips and cloud computing platforms. But there's a whole
Speaker 2: ecosystem of tools and technologies ye, that developers are using
Speaker 2: to bring AI to our fingertips.
Speaker 1: Okay.
Speaker 2: One that's particularly important is TensorFlow Light.
Speaker 1: You mentioned TensorFlow Light earlier, Yes, in the context of identification.
Speaker 1: Can you remind me what it is?
Speaker 2: So, TensorFlow Light is an open source framework developed by
Speaker 2: Google specifically for deploying machine learning models on mobile and
Speaker 2: embedded devices.
Speaker 1: Okay.
Speaker 2: Think of it as like a slim down version of
Speaker 2: TensorFlow Okay, optimize for the mobile environment.
Speaker 1: Gotcha.
Speaker 2: It's designed to be lightweight and efficient, allowing AI to
Speaker 2: run smoothly even on devices with limited processing power.
Speaker 1: So it's like taking the power of a supercomputer, huh
Speaker 1: and squeezing it into our tiny phones. Right, that's pretty remarkable. Yeah,
Speaker 1: what kind of things can you do with TensorFlow Light.
Speaker 2: It supports a wide range of machine learning models, including
Speaker 2: those used for image classification, object detection, natural language processing,
Speaker 2: and much more.
Speaker 1: Wow.
Speaker 2: It's basically a versatile toolkit that developers can use to
Speaker 2: build all sorts of AI powered apps.
Speaker 1: And it's open source, yes, which means anyone can use
Speaker 1: it exactly.
Speaker 2: That's one of the things that makes TensorFlow lights so exciting.
Speaker 2: It's lowering the barrier to entry for mobile AI development,
Speaker 2: making it easier for developers to integrate AI into their
Speaker 2: apps even if they don't have a deep background in
Speaker 2: machine learning.
Speaker 1: That's fantastic. It's like opening up the world of AI
Speaker 1: to a whole new generation of innovators. Yeah, but I'm
Speaker 1: guessing TensorFlow Light isn't the only game in town. You're right, Okay.
Speaker 2: There are other frameworks and platforms emerging, each with its
Speaker 2: own strengths and weaknesses. For example, Apple has its core
Speaker 2: mL framework, which is optimized for Apple devices, and there
Speaker 2: are cloud based AI platforms like Google's mL Kit and
Speaker 2: Amazon's Machine Learning Services that provide pre trained models and
Speaker 2: tools for developers to integrate AI into their apps without
Speaker 2: having to build everything from scratch.
Speaker 1: So it's a rapidly evolving landscape, yes, with lots of
Speaker 1: options for developers to choose from.
Speaker 2: Absolutely, and as the field matures, we can expect even
Speaker 2: more sophisticated tools and platforms to emerge, making mobile AI
Speaker 2: development faster, easier, and more accessible.
Speaker 1: This deep dive has been an eye opener, revealing a
Speaker 1: world of AI that's far more advanced and pervasive than
Speaker 1: I ever imagined. It's clear that AI is no longer
Speaker 1: a futuristic concept. It's a reality that's already shaping our
Speaker 1: mobile experiences in countless ways, and it sounds like we're
Speaker 1: just scratching the surface of what's possible we are.
Speaker 2: Indeed, the pace of innovation in mobile AI is simply astounding.
Speaker 1: Wow.
Speaker 2: We're on the cusp of a technological revolution that will
Speaker 2: fundamentally transform the way we live, work, and interact with
Speaker 2: the world around us.
Speaker 1: Wow.
Speaker 2: It's a future filled with immense promise, right, but also
Speaker 2: with important questions how we as a society need to address.
Speaker 1: Yeah, it's incredible to think that all this AI power
Speaker 1: is right there in our pocket, I know, and it's
Speaker 1: only going to get more sophisticated. Yeah, but before we
Speaker 1: get lost in all the possibilities, let's talk about, like,
Speaker 1: what are lists can do to learn more about this
Speaker 1: fascinating field.
Speaker 2: That's a great idea. We've covered a lot of ground
Speaker 2: in this deep dive, but it's just a glimpse into
Speaker 2: the vast world of mobile AI. For those who are
Speaker 2: eager to explore further, I highly recommend checking out the
Speaker 2: book that inspired this episode. Oh yeah, Mobile Deep Learning
Speaker 2: with TensorFlow, light, mL Kit, and Flutter.
Speaker 1: I second that the book does a great job of
Speaker 1: explaining these complex concepts in a way that's both informative
Speaker 1: and engaging. Huh. It even includes practical examples and code snippets.
Speaker 1: Oh wow, So you can start experimenting with building your
Speaker 1: own AI powered apps.
Speaker 2: That's awesome.
Speaker 1: And for those who prefer a more visual or interactive
Speaker 1: learning experience, there are tons of online courses and tutorials available.
Speaker 1: Platforms like Coursera, Udacity, and aed X offer excellent courses
Speaker 1: on machine learning, deep learning, and mobile AI development. You know,
Speaker 1: I actually learned a lot about AI from watching YouTube videos. Yeah,
Speaker 1: there are some really great channels out there, Yeah that
Speaker 1: break down complex topics into easy to understand chunks, right,
Speaker 1: and it's a fun way to learn.
Speaker 2: Absolutely. YouTube is a fantastic resource for anyone interested in AI.
Speaker 2: And don't underestimate the power of community. Oh yeah, there
Speaker 2: are vibrant online communities like forums, Reddit groups, and discord
Speaker 2: servers where you can connect with other AI enthusiasts, ask questions,
Speaker 2: share resources, and even collaborate on projects.
Speaker 1: It's amazing how accessible this feel is becoming.
Speaker 2: It is.
Speaker 1: You don't need a fancy degree or expensive equipment to
Speaker 1: start exploring AI. With a little curiosity and a willingness
Speaker 1: to learn, anyone can dive in and start experimenting.
Speaker 2: That's the spirit. AI is a field that's constantly evolving, right,
Speaker 2: So the best way to learn is to get your
Speaker 2: hands dirty and start building. Yeah, don't be afraid to experiment,
Speaker 2: make mistakes, and learn from your experiences. That's how the
Speaker 2: real breakthroughs happen.
Speaker 1: So true, this deep dive has definitely sparked my curiosity good,
Speaker 1: and I'm feeling inspired to start exploring some of the
Speaker 1: resources you've mentioned, But before we wrap up, I want
Speaker 1: to leave our listeners with one final thought provoking question
Speaker 1: to ponder.
Speaker 2: Okay, ol Ears, we've.
Speaker 1: Talked about the incredible possibilities of AI on mobile, from
Speaker 1: personalized experiences to potentially life saving medical diagnoses. But as
Speaker 1: AI becomes more integrated into our lives, weaving itself into
Speaker 1: the fabric of our daily routines, things important to ask ourselves. Okay,
Speaker 1: what does it mean to be human in an age
Speaker 1: of intelligent machines? What does it mean when the devices
Speaker 1: we carry in our pockets are not just tools, but partners, advisors,
Speaker 1: and perhaps even in some ways, extensions of our own minds.
Speaker 2: That's a profound question, and one that doesn't have a
Speaker 2: simple answer. As AI systems become more sophisticated, capable of learning, adapting,
Speaker 2: and even creating, the lines between human intelligence and art
Speaker 2: official intelligence will continue to blur. Navigating this new landscape
Speaker 2: will require careful consideration, open dialogue, and a willingness to
Speaker 2: adapt our understanding of what it means to be human
Speaker 2: in a world increasingly shaped by intelligent machines.
Speaker 1: Well said, On that note, we've reached the end of
Speaker 1: our deep dive into the fascinating world of AI on mobile.
Speaker 2: Well, that went by fast.
Speaker 1: I know, right. I hope this episode has left you
Speaker 1: feeling inspired, informed, and maybe even a little bit challenged
Speaker 1: by the questions we've explored together.
Speaker 2: It's been a pleasure diving into this topic with you
Speaker 2: and our listeners.
Speaker 1: Same here. The future of AI is unfolding right before
Speaker 1: our eyes. It is, and it's up to all of
Speaker 1: us to shape it in a way that benefits humanity.
Speaker 2: Until next time, keep learning, keep exploring, and keep diving deep.
Speaker 1: By everyone,