Recent Content

Essential Guide:  Audio Over IP - Making It Work June 21st 2018 - 11:00 AM

Audio over IP (AoIP) has become one of the most important technologies to ever enter the media landscape. The protocol allows facilities to leverage today’s mature IP platforms for audio applications resulting in lower costs, faster installations, improved quality of service, all while creating a scalable and future-proof network.

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Articles You May Have Missed – June 20, 2018 June 20th 2018 - 08:00 AM

Until now, 4K/UHD and high dynamic range (HDR), in many ways, has been little more than a science project, as manufacturers have struggled to convince production entities of the long-term practicality and viability. Fears of overly complex pipelines and dual HDR-SDR workflows hinder widespread adoption.

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A Brief History of IP - Putting It All Together June 13th 2018 - 10:00 AM

Building reliable, flexible IP networks requires an understanding of infrastructure components and the interoperability of systems that run on them, especially when working in fast-paced, dynamic studios. Protocol interfacing is relatively straightforward, but as we investigate application level connectivity further, systems become more interesting.

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Neutrik Introduces Dante I/O Interface June 8th 2018 - 01:50 PM

Neutrik has introduced an end-of-network device that integrates analog signal devices within Dante-based AoIP networks.

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Audio Over IP - Making It Work - Part 3 June 7th 2018 - 11:00 AM

Multicasting is an incredibly powerful tool used in broadcast infrastructures to efficiently distribute streams of audio, video, and metadata. In this article, we look at the advantages of multicasting, how it works, and the alternatives that overcome some of its operational limitations.

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Articles You May Have Missed – June 6, 2018 June 6th 2018 - 08:00 AM

Artificial Intelligence (AI) was a hot topic of both conversation and display at this year’s NAB show. While the early demonstrations merely hint the potential of AI, there is clearly plenty of interest by users and manufacturers. Artificial Intelligence is being compared to and with Machine Learning (ML).

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