Why Python is great for Machine Learning and Fighting fake news with Aletheia
Details
This will be the May monthly meeting.
PLEASE NOTE that this meeting will be ONE WEEK LATER than expected, on Tuesday 8th May. Apologies, other commitments mean we can't hold the meeting on the original date.
Normally some of us go on to the pub afterwards.
We have two talks this month:
Remi Francis, Machine Learning Engineer at Speechmatics (https://www.speechmatics.com/) will talk about Why Python is great for Machine Learning:
With the speech revolution here, Automatic Speech Recognition (ASR) technology is constantly evolving with new progress being made every day. Remi Francis, a Machine Learning Engineer from Speechmatics, will explain why Python is great for Machine Learning followed by a demonstration of how it has been applied to the field of ASR.
Daniel Quinn will be talking about Fighting fake news with Aletheia:
Technology has evolved to the point where we're able to falsify audio and video evidence with convincing results. Combating this next generation of fake news is taking many forms, but with Aletheia, Daniel Quinn is attempting to short-circuit the creation/detection arms race. Through the use of crpytographic signatures, we can leverage existing networks of trust to help make sharing media a little more human again.
Links:
- Aletheia: https://github.com/danielquinn/aletheia
- pyletheia: https://github.com/danielquinn/pyletheia