I love watching sci-fi movies and I’ve always believed that in the realm of science fiction, wearable technologies are very interesting innovations, offering abilities that stretch the limits of human imagination. Films and shows like “Star Trek” ,” Minority Report” and “Black Mirror “ have painted a picture of a future where technology blends seamlessly into our daily routines, transforming our lives in ways we could only have dreamt about a decade ago. As I started exploring Model compressions and breakthroughs in AI and wearable tech, I am fascinated by how these once-fictional gadgets are materializing into tangible tools that will impact our daily lives. Don't you also feel it?
This evolution has been nothing short of extraordinary. Initially rolled out as simple fitness trackers measuring steps, today’s wearables have matured into complex AI devices. They now offer a broad spectrum of functionalities, from monitoring our health to enabling augmented reality (AR) experiences. These advancements are changing the way we interact with technology and offering profound insights into our health and well-being, ( though sometimes too much :)), illustrating the power of AI in transforming wearable tech.
Real-World Examples and Their Sci-Fi Counterparts
Inspired by “Star Trek”’s medical tricorders, contemporary wearables can now monitor everything from heart rate to sleep patterns, echoing the sci-fi vision of seamless health tracking. At times I feel they are too intrusive as you get into the vicious circle of looking and stress patterns and then getting stressed that stress is not going.. (Phew !) . Similarly, AR glasses, especially with the launch of Apple Vision Pro, now bring digital information into your physical world, reminiscent of “Minority Report,” ? enhancing the interaction with real surroundings in interesting ways. Furthermore, smartwatches have evolved, integrating AI assistants that remind me of the communicators from classic sci-fi narratives, connecting us to the world in instant gratification.
This is just the beginning as I’m witnessing wearables becoming increasingly sophisticated, embodying the essence of devices like the Humane AI Pin. It symbolizes a leap towards integrating AI into our daily interactions in a more intuitive manner, much like the seamless tech integration depicted in science fiction.
Interesting Developments in AI Wearables
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Elon Musk’s Neuralink aims to blend human cognition with AI, a notion that seems lifted directly from a science fiction novel or the movie “Ex Machina.”
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Focals by North and Fitbit’s advanced health smartwatches are also pushing the boundaries, leveraging AI to offer discreet, interactive, and health-focused functionalities that were once the realm of imagination.
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ElliQ: Designed with the elderly in mind, ElliQ now features generative AI integration for improved conversations, offering a more natural and engaging interaction for its users.
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AI EYES by Playground: A premium wearable integrating AI to enhance daily life through advanced features like voice commands and automatic photo capture.
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Whoop’s AI-Driven Virtual Coaching: A unique feature leveraging AI for personalized health, fitness, and wellness advice, indicating a shift towards more interactive and responsive wearables.
Model Compression: The Tech in AI Wearables
What is behind getting AI into smaller devices? Let's look at the answer — The integration of AI into wearables and portable devices like smartphones and laptops poses a very interesting challenge, primarily due to the limited computing power and battery life of these devices. Model compression emerges as a critical technology enabling the miniaturization of AI, allowing it to run efficiently on devices with far less processing power than traditional servers. It’s like a “chota packet bada Dhamaka :)”.
Understanding Model Compression
Model compression is a set of techniques designed to reduce the size of AI models without significantly sacrificing their accuracy. Techniques include:
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Pruning: Removing unnecessary parameters from neural networks that don’t contribute much to the output, making the model lighter and faster.
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Quantization: Reducing the precision of the numbers used to represent model parameters, decreases the model size and speeds up computation.
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Knowledge Distillation: Training a smaller, more efficient model (the “student”) to mimic the behavior of a larger, pre-trained model (the “teacher”), effectively transferring the knowledge while keeping the model size manageable.
MY VISION FOR A PERSONAL AI Wearable -EternaLink
Sometimes I feel Blessed as a lot of my tech predictions come true. So here is a thought for a future AI wearable — I call it EternaLink. which isn’t just a device; it’s a companion designed to enhance your daily life, monitor your health, and immortalize your memories, ensuring that the essence of your experiences can be cherished for generations even after your death. How to Read Part 2