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Book: AI at the Edge: Solving Real-World Problems with Embedded Machine Learning

23/04/2024
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Price: 69,11€ - € 38,34
(as of Nov 08, 2024 18:38:09 UTC – Details)

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Edge AI is revolutionizing how computers interact with the environment, enabling IoT devices to make decisions based on the 99% of information from sensors that was previously discarded due to cost, bandwidth or energy constraints. With methods like machine learning on devices, developers have the ability to encapsulate human intuition and apply it to varied goals, from low power microcontrollers  but also Linux embedded devices. This practical guide provides engineering professionals, including product managers and technology leaders, with a comprehensive framework to address real-world industrial, business, and scientific challenges using edge AI. You will immerse yourself in every phase of the process, from data capture to model optimization and evaluation, learning how to design and support integrated edge AI and ML products. Edge AI is shaping up to be an essential tool for systems engineers.

This compendium gives you a roadmap to start your path. Expand your knowledge in AI and ML for edge devices. Identify which projects benefit the most from the application of edge AI. Discover key design patterns for edge AI deployments. Learn about an iterative cycle for AI system development. Form a team capable of solve challenges from the real world. Stick to a responsible AI process to create effective solutions.

Get involved in the cutting edge of technology and start exploring the limitless potential of Edge AI with this essential guide. Purchase your copy now and take the first step towards creating innovative solutions!

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Comments (21)

Don't you think that the book AI at the Edge: Solving Real-World Problems with Embedded Machine Learning a little underestimates the complexity of implementing AI at the edge? Yes, it simplifies concepts, but I feel like it leaves out the real challenges of integration and maintenance. Does anyone else notice this or is it just me?

Totally agree. It underestimates the challenges and downplays the reality of AI at the edge.

Does anyone else think this book, Book: AI at the Edge: Solving Real-World Problems with Embedded Machine Learning, is too technical for the average reader? I wonder if a more accessible approach wouldn't be more effective in spreading knowledge about AI and machine learning. Or is it only supposed to be for experts in the field?

It's just for the experts. Not everything should be chewed over for the average reader.

Interesting article about Book: AI at the Edge: Solving Real-World Problems with Embedded Machine Learning. But don't you think it has focused too much on the technical aspects and has left aside the social impact of these technologies? How will embedded AI impact jobs and everyday life in the future?

Guys, what did you think of the approach of the book AI at the Edge: Solving Real-World Problems with Embedded Machine Learning? I found it interesting how you approach integrated machine learning. Do you think this approach is feasible to solve real-world problems? I wonder how this would apply in today's tech industry.

I totally agree, the approach is innovative and has great potential in today's technology industry.

Has anyone else noticed that the book AI at the Edge: Solving Real-World Problems with Embedded Machine Learning focuses too much on the technical aspect and leaves out the ethical implications? I think it is vital to consider how AI at the edge can impact data privacy and security.

I read the article about Book: AI at the Edge: Solving Real-World Problems with Embedded Machine Learning and I was curious. Do you think that with the advancement of integrated AI, manual jobs will be in danger or simply transformed? How will this affect the global economy?

I think it will transform jobs, not eliminate them. Change is inevitable, but it also brings opportunities.

I have read the article about Book: AI at the Edge: Solving Real-World Problems with Embedded Machine Learning and I find it curious, don't you think we are worshiping AI too much? It's useful, yes, but it can't replace the human touch. Also, isn't the privacy risk involved worrying?

I believe AI is a tool, not a god. But yes, privacy is a big challenge.

Wow, interesting article on Book: AI at the Edge! But don't you think there is too much emphasis on AI on edge devices and potential privacy issues are being overlooked? I think a broader discussion is needed here.

Totally agree. We need more dialogue about privacy in AI. Good observation!

Does anyone else think that AI at the Edge, as mentioned in Book: AI at the Edge, could have significant ethical implications? I'm surprised the article doesn't go into this in depth. Shouldn't we consider the consequences before blindly adopting this technology?

Totally agree. Ethics in AI is as crucial as the technology itself.

Does anyone else feel like this book, AI at the Edge: Solving Real-World Problems with Embedded Machine Learning, could be a game-changer in how we approach artificial intelligence? I feel like we're not discussing the potential of embedded AI enough. It's the future, friends! And what about the ethical implications?

Does anyone else think the book AI at the Edge: Solving Real-World Problems with Embedded Machine Learning could be revolutionary for AI in embedded devices? I think the authors could have further explored the limitations and challenges of machine learning in this context. Any opinion on this?

Totally agree. The book is promising, but lacks depth on the challenges of AI.

Hello! I have read the article about Book: AI at the Edge and I wonder, are we really ready for the integration of AI in embedded systems? Don't you think there could be security or privacy risks? Or am I just being too paranoid?

Hello! I think paranoia is healthy, especially when it comes to AI and privacy. Good point!