Media for Research, Research for Media
Join us for an event 6th December – register here
Interested in what AI will do for the media industry, or what the media industry wants from AI? In particular, what media metadata should be automatically extracted, supporting workflows and search?
Join us for refreshments and discussion on how media scientists and media professionals can work together to ensure the most effective and relevant tools become available.
The field of “Deep Learning” is impacting our everyday lives, from “Google Translate” to Netflix viewing recommendations. This type of AI (Artificial Intelligence) allows computers to learn in the same way as humans: by being exposed to a range of experience and information, and naturally deriving meaning. But, just like young humans, Deep Learning Neural Networks (DNNs for short) need help gathering information and checking their interpretations are correct. Once a reliable set of data – “ground truth” – is available with sufficient quantity and quality, computers can learn!
Speakers for the event include:
Raymond Drewey, VP EMEA Operations and Principal Scientist, MovieLabs
Dr. Yiannis Andreopoulos, Reader in Data and Signal Processing Systems, UCL Electrical and Electronic Engineering
The “Media for Research, Research for Media” event illustrates example new technologies coming from research, outlines media community issues, and introduces the concept of a new “tools for media” exchange, helping to build ‘ground truth’ for the benefit of researchers and media alike. Register to attend, and visit this page for updates.