In the final article in this series, we look at datasets, their importance and why GPUs are critical for machine learning.
Broadcast and remote production over cellular are coming of age in the 5G era as was evident at the recent IBC 2022 in Amsterdam. Remote production is being extended in the field by highly portable “5G in a box” systems, while for broadcast there is an active debate between two alternative architectures, one enhancing the existing mobile infrastructure and the other imposing an overlay via the HPHT (High Power High Tower) model.
Broadcasting is totally dependent on waves which crop up in a surprising number of places. Sound waves and light waves form the message, which is delivered by further types of wave.
At this year’s IBC Show in Amsterdam, finally in-person after two years, remote production solutions were scattered throughout the exhibition floors, to no real surprise. Reduced costs, travel and shipping expenses, scalable infrastructure and efficient use of resources were all cited as advantages, while a few reasons for migrating carefully were also discussed.
Training neural networks is one of the most import aspects of ML, but what exactly do we mean by this?
As the wider broadcast industry picks up the pace with virtualized, cloud-native production systems we take a look at what audio vendors currently have available and what may be on the horizon.
One cannot get very far with electricity without the topic of batteries arising. Broadcasters in particular have become heavily dependent on batteries to power portable equipment such as cameras and lights.
For over two decades Telestream has streamlined the ingest, production, and distribution of digital video and audio. Today, compared to its SDI/AES-based predecessors, IP video adds exciting new challenges to these workflows.