SKU: 65535317558

MAXIM INTEGRATED PRODUCTS MAX542BCPD+ Digital to Analogue Converter, Precision, 16 bit, Serial, 4.75V to 5.5V, DIP, 14 Pins

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Description

MAXIM INTEGRATED PRODUCTS MAX542BCPD+ Digital to Analogue Converter, Precision, 16 bit, Serial, 4.75V to 5.5V, DIP, 14 PinsThis is a Digital to Analogue Converter, Precision, 16 bit, Serial, 4. 75V to 5. 5V, DIP, 14 Pins product from MAXIM INTEGRATED PRODUCTS with the model number MAX542BCPD+Product details Sampling Rate Supply Voltage Range 4. 75V to 5. 5V Data Interface SPI Automotive Qualification Standard Resolution (Bits) 16bit Packaging Each Operating Temperature Min 0C Product Range ADC DAC Case Style DIP Operating Temperature Max 70C No. of Pins 14Pins Input

This is a Digital to Analogue Converter, Precision, 16 bit, Serial, 4.75V to 5.5V, DIP, 14 Pins product from MAXIM INTEGRATED PRODUCTS with the model number MAX542BCPD+

Product details

Sampling Rate -
Supply Voltage Range 4.75V to 5.5V
Data Interface SPI
Automotive Qualification Standard -
Resolution (Bits) 16bit
Packaging Each
Operating Temperature Min 0°C
Product Range -
ADC / DAC Case Style DIP
Operating Temperature Max 70°C
No. of Pins 14Pins
Input Channel Type Serial
MSL MSL 1 - Unlimited

Other details

Brand MAXIM INTEGRATED PRODUCTS
Part Number MAX542BCPD+
Quantity Each
Technical Data Sheet EN

All product and company names are trademarks™ or registered® trademarks of their respective holders. Use of them does not imply any affiliation with or endorsement by them. Image is for illustrative purposes only. Please refer to product description.

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SKU: 65535317558

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4.4 ★★★★★
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TheTechGuyz
Lexington, US
★★★★★ 5
A good book for Cyber Professionals
Format: Paperback
A very good book, I absolutely love how it gives security professionals much needed AI security insights.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on January 16, 2026
S
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Steve Wilson
Los Angeles, US
★★★★★ 5
In-depth and highly technical!
Format: Paperback
"Adversarial AI Attacks, Mitigations, and Defense Strategies" by John Sotiropoulos is a must-have resource for cybersecurity professionals navigating the complexities of AI security. This book is an incredibly in-depth guide that tackles the intricate details of defending AI systems from adversarial attacks. It’s highly technical, making it an excellent choice for those with a solid background in cybersecurity, machine learning, and system administration. Sotiropoulos doesn’t shy away from the details, providing comprehensive code examples, system admin settings, and scripts that are invaluable for practical implementation. One of the standout aspects of this book is its coverage of both predictive and generative AI. This dual focus ensures that readers are well-equipped to handle security challenges across different AI applications. Whether you're dealing with machine learning models in a predictive context or exploring the relatively newer field of generative AI, this book has you covered. If you’re looking for a technical, hands-on approach to securing AI systems, this book is an essential addition to your library.
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Reviewed in the United States on August 12, 2024
N
Verified Purchase
Niti Sharma
Fort Morgan, US
★★★★★ 4
Good and thorough!
Format: Paperback
I was amazed to see a thick book arriving in the package and spent quite some time reading this. The book is so hands-on. I build agentic systems at work and going through these concepts felt good. My only complaint is that the code snippets are not up to date for which I had to edit my code several times.
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Reviewed in the United States on May 9, 2026
C
Verified Purchase
Catalina J.
Natrona Heights, US
★★★★★ 5
Amazing book
Format: Paperback
Excelent product
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Reviewed in the United States on November 4, 2025
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Brian
Pawtucket, US
★★★★★ 5
solid read with walk through
Format: Paperback
There is limited material on this topic and I am about 4 chapters in and I have enjoyed the walkthrough on setting up a lab as the background... will update as I continue through the book.
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Reviewed in the United States on October 18, 2024

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