Advances in Deep Learning for Anomaly Detection -hosted by Lecida and Kx

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Hi Kx Community San Francisco,

We're holding our next Kx Meetup on Thursday 24th of January in collaboration with Lecida and ML@B we hope you can join!

Come learn about the latest advances in density estimation using autoencoders and neural autoregression. We'll review the recently developed MADE and R-NADE machine learning models and show how these techniques are being used to monitor the health and performance of industrial machines.



Improvements to NADE and R-NADE:

[masked]: Registration / Networking over beer and pizza
7:[masked]: Introductions (Lecida and Kx)
7.15: Advances in Deep Learning for Anomaly Detection
8.15: Discussion / Networking and pizza

We look forward to meeting all of you!

About Lecida

Founded by a team of engineers from Stanford, Berkeley and Oxford, Lecida is a fast growing startup applying AI and Machine Learning to the world of industrial machines. Lecida's software continuously monitors sensor data from industrial machines, generating smart alerts and recommendations that enable industrial workers to manage their machines more effectively. Lecida's technology is currently being applied across multiple industries, inc. construction, agriculture, and manufacturing. Lecida is based in downtown Berkeley.

About Kx Systems

Kx is a division of FD, a global technology provider with 20 years of experience working with some of the world’s largest finance, technology, manufacturing, and energy institutions. Kx technology, incorporating the kdb+ time-series database, is a leader in high-performance, in-memory computing, streaming analytics and operational intelligence. Kx delivers the best possible performance and flexibility for high-volume, data-intensive analytics and applications across multiple industries.

ML@B is a student organization at Cal uniting the AI/ML community via industry consulting, professor-advised lab research, campus education, and networking/recruiting events