HDG UK March Event - AI & Machine Learning

Our next HDG UK event will take place on Wednesday, March 16th.

We'll be welcoming Chin Hang from CGG and Chen Zhang from Huawei to talk about Artificial Intelligence and Machine Learning.

There will be prizes! Get a chance to win a Huawei Fit watch!

Sign up and spread the word!

Schedule:
[6.00 pm] - Doors open, food & drinks
[6.30 pm] - Welcome
[6.35 pm] - Chen Zhang - A Deep Learning Approach to Data Compression
[~7.15 pm] - Chin Hang - A machine learning pipeline for document extraction
[7.45 pm] - Wrap Up & Close

Chen Zhang - A Deep Learning Approach to Data Compression
Streaming quality got reduced during the pandemic? Tired of squeezing your storage device for another photo every now and then? Conventional data compression solutions seem not to be able to catch up with the exponential rate of data explosion. Evidence suggests that artificial intelligence is promising to break this bottleneck. Let’s have a quick look at deep learning-based data compression advances together with Chen. Maybe you can join the expedition and become one of the pioneers of the next industrial revolution!

Chen Zhang obtained his PhD in Computer Science from UCL and is now a research scientist at the AI Theory Group of Huawei Noah’s Ark Lab. He is interested in deep generative models and their applications in AI based data compression.

Chin Hang - A machine learning pipeline for document extraction
Each year the geoscience industry creates huge volumes of documents containing a wealth of knowledge which cannot be easily queried or extracted. Key to the successful extraction and transformation of data is an understanding of the nature of the data that exists within a corpus of files. For large datasets, it is time-consuming to manually open and review each document in turn. Therefore, in this talk, we discuss how machine learning is used at CGG to classify documents in our automated pipeline and reduce project times significantly.

Chin Hang is a machine learning engineer. My role focuses on building NLP and computer vision models to automate existing workflows
in geology and geoscience, including the extraction of data from unstructured documents, and deploying the models into production.
My background is in Mathematics, having obtained a PhD in probability theory and stochastic processes, before moving into software development.

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Offer pizza and drinks at the event, don't miss it!