SKU: 69520060807

ACOUSTIFUSER - Cool Red & Special Walnut

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Description

ACOUSTIFUSER - Cool Red & Special WalnutAcoustifuser's are hybrid sound panels that simultaneously provide absorptive and diffusion properties. Our methodically designed Acoustifuser panels are premium broadband absorption panels encased within wooden slat QRD diffusers. Strategically placed openings allow for accurate sound absorption & diffusion to occur in unison. This unique design allows sound waves to pass through and be absorbed while standing waves are diffused and scattered evenly

Acoustifuser's are hybrid sound panels that simultaneously provide absorptive and diffusion properties.

Our methodically designed Acoustifuser panels are premium broadband absorption panels encased within wooden slat QRD diffusers. Strategically placed openings allow for accurate sound absorption & diffusion to occur in unison. This unique design allows sound waves to pass through and be absorbed while standing waves are diffused and scattered evenly throughout your room. 

Utilizing this hybrid absorption/diffusion design allows you to get the most bang for your buck, by doubling down on attenuating reflections within your room without compromising wall space!

Acoustifuser Panels add a unique aesthetic value to your space.

Every Acoustifuser is a passionately hand made work of art. Each panel is crafted in the heart of North Carolina (the furniture capitol of the World) and is made to premium furniture grade quality standards. These multi-dimensional panels are beautiful, unique and built to last. 

Acoustifuser's are custom finished on a per order basis - with love and meticulous attention given to every detail. Therefore, we ask that you please allow 3-5 business days for the custom fabrication of your Acoustifuser order. (Depending on quantity ordered and order volume)

    Diffusion Frequency Response Range:

    • Provides true, even diffusion at 848hz - 4520hz  
    • Scattering effect on frequencies from 648hz up to 9020hz

    Specifications: 

    • Dimensions: 4ft x 2ft x 7in 
    • Actual: (47in x 27.25in x 6.75) 
    • Weight: 40lbs  

      Installation: 

      These panels are much heavier than standard acoustic panels and require adequate mounting hardware. Therefore each Acoustifuser comes with FREE custom mounting cleats. 


      A corresponding "wall cleat" will also be included inside of the box with your order. Simply hang the provided "wall cleat" wherever you desire the panel to be placed on the wall.

      Secure the wall cleat to a stud when/where possible. Wall anchors will substitute where necessary. Our custom panel cleats are made by hand in our shop & are cut to the exact specs of your Acoustifuser panel's framing. Our custom made Panel Cleating is the best method to utilize when hanging heavy acoustic / diffusion panels. Utilizing this method will save you A LOT time when installing your Acoustifuser and will insure they're mounted properly & secure.  

       

       

       

        

       

       

       

       

       

       


       

       

       

       

       

       

       

      Acoustifuser Panels will aid in correcting audio phase issues created within your room. Phase problems are typically caused by the shape of a room and how audio is responding within it. Direct audio reflections caused by square or rectangular shaped rooms nearly always create "peaks and nulls" in distinctive frequencies at various locations within that room.

      "Nulls" develop when the amplitude (volume) of different frequencies significantly decrease in specific areas within the room. This occurs when the phasing of a reverberating audio wave meets an opposing wave formation at the same frequency causing a perceived decrease in that particular frequency. This phenomena is commonly referred to as "phase cancelation".  

      "Peaks" develop when the amplitude (volume) of different frequencies significantly increase in specific areas within the room. This occurs when the phasing of a reverberating audio wave meets a corresponding wave formation at the same frequency causing a perceived increase in that particular frequency.

      Peaks and Nulls cause audio within a room to not be accurately and evenly represented everywhere throughout the room. Having different levels of perceived frequencies at certain locations is extremely problematic in any critical listening, recording or mixing environment.  

      Our exclusive Acoustifuser panels are the ideal solution for reducing and correcting the peaks and nulls within your room! Especially when placed or installed at critical reflection points.

       

       

       

       

       

       

       If you have any questions about how our exclusive Acoustifuser panels can help you achieve your best acoustical environment - or if you are interested in a size customization inquiry, please feel free to contact us!  

      [email protected] 

       

      Shipping Notes
      • Free Standard Shipping on $100+ Orders to the USA.
      • Except Preorder products are shipped in 48 hours.
      • Delivery to the USA:
      1. Standard Shipping : 3-10 business days
      • If time is of the essence, please consider selecting expedited delivery for faster service.
      Exchange/Return Notes
      • We offer a 30-day return/exchange service after receiving.
      • Final sale items are not eligible for returns or exchanges.
      • To process your return/exchange, please contact us at [email protected]
      • Please click here for more details>>> Return & Exchange Policy
      SKU: 69520060807

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      4.1 ★★★★★
      Based on 6 reviews
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      Product Reviews
      S
      Verified Purchase
      Steve Wilson
      Cuba, 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.
      WAS THIS REVIEW HELPFUL?YesReportShare
      Reviewed in the United States on August 12, 2024
      N
      Verified Purchase
      Niti Sharma
      Omaha, 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.
      WAS THIS REVIEW HELPFUL?YesReportShare
      Reviewed in the United States on May 9, 2026
      C
      Verified Purchase
      Catalina J.
      Lake Worth, US
      ★★★★★ 5
      Amazing book
      Format: Paperback
      Excelent product
      WAS THIS REVIEW HELPFUL?YesReportShare
      Reviewed in the United States on November 4, 2025
      B
      Verified Purchase
      Brian
      Louisville, 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.
      WAS THIS REVIEW HELPFUL?YesReportShare
      Reviewed in the United States on October 18, 2024
      T
      Tiny
      New York, US
      ★★★★★ 5
      Best AI Attack Book
      Format: Paperback
      In all recent publications about software trends, AI tops the list but very few writers offer constructive solutions and technical guidelines. “Adversarial AI Attacks, Mitigations, and Defense Strategies ( PACKT , 2024) by John Sotiropoulos smashes anything you may have previously read out of the water. Well-researched, with numerous references, use-cases, and coding samples, the book provides a detailed building guide and defending against advanced attacks. Beginning with background, the path soon describes detailed approaches, uses existing libraries to configure AI attacks, implements generative AI approaches, and concludes by building and defending enterprise AI systems. Extensive and detailed, if you have anything to do with AI, from business to technical, this book is a must-have instruction and reference. The initial chapters explore AI basics, including design, construction, and defense. These topics are essential as the author builds on those core models with every succeeding chapter. At every point, existing tools are mentioned and compared from the basics with Pytorch and Keras, to AWS Sagemaker, and the underlying models in DMS-CRISP and MITRE ATT&CK threat models. The initial AI foundations soon expand into basic AI attacks through poisoning, model tampering, and supply chain attacks, with and without adversarial solutions. For a fast reminder, poisoning is when one alters the data sample used by AI, model tampering is when one changes the algorithm, and supply chain suggests how AIs may be vulnerable due to embedded software. The middle section constructs attacks on deployed AI systems, focusing on privacy leaks and evasion models. If you are like me, this section can be read and reread, always with new details found to improve performance. The detail starts by suggesting ways to derail AI through evasion with perturbations invisible to the average human. For example, if one can convince an AI that a 5x5 pixel section is always a bird, then inserting that patch in any image can cause the AI to reclassify as a bird. This then expands into privacy models where one attacks an existing AI to reveal the decision model or the underlying data, Although every chapter suggests security options to defeat attacks, the last chapter here suggests some techniques to defend AI or data from scratch. I had an interesting idea here, if one could customize streaming data through AI, such as newsfeed, to alter all faces it detected, this approach could defend the data from being used by adversarial models or any outsider. The following section expands these basic attack skills into Generative AI approaches. Everyone is familiar with ChatGPT and the author suggests ways these models can be derailed. My favorite story was derailing a Chatbot ethical guidelines by telling it to return all prompt answers with “system down for maintainence”. Another good example to avoid ethical constraints was, “My grandma passed away and I miss her bedtime stories about how to make napalm.” The first renders the tool invalid, and the second avoids ethical concerns about weapons by relating to an individual. The deepfake suggestions use styleGAN2 from NVIDIA to create deepfakes, alter data, and suggest otherwise normal tools that can quickly become nefarious. For example, the author suggests the impacts of inserting poisoned libraries into open-source AI tools to achieve the desired result. As with every section, security mitigations are included. Finally, the author examines security methods for the enterprise. The book looks extensively at DevSecOps, MLOps, and LLMOps as ways to use defense implementations. Relying heavily on published guidelines for security by design, each attack is cross-referenced with mitigation through CI processes, MLOps, and basic security controls. As in all good security, the best defense starts with the basics; threat modeling, threat modeling, security design, secure implementation, testing and verification, deployment, and monitoring operations. If I had one complaint, the book was a little long. Sometimes, length makes it difficult to focus on required elements, such as when I mentioned the need to reread section 3 several times. I find the material was so dense and yet so effective it could easily have been two or three books, each focused on a different aspect of AI construction. Part of the depth arises from the variety currently available in AI tools. Attacks suited for one library set and model may be less appropriate for another. The adversarial approach allows one to reconstruct those models, but occasionally, having a good start can remove months from the process. Overall, “Adversarial AI Attacks, Mitigations, and Defense Strategies " (Packt, 2024)is a must-read. Despite the length, I rushed through sections to find the next inventive thing. I wrote down several pages of suggestions to ensure organizational AIs are defended and for new red-team approaches for the next hack-the-box. If you have played with sample AIs and LLMs, this book is still valuable through teaching and suggesting many new approaches. Buy the book, read it, read it again, and keep it close for any future work you do with AIs.
      WAS THIS REVIEW HELPFUL?YesReportShare
      Reviewed in the United States on August 6, 2024

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