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Building bigger brains: Utilizing neuromorphic engineering as the path towards brain-scale intelligence and Be agile on data and query the world!
October 8, 2019 @ 6:00 pm - 9:00 pm PDT
Join us for – Building bigger brains: Utilizing neuromorphic engineering as the path towards brain-scale intelligence and Be agile on data and query the world!
Tuesday, October 8, 2019, 6:00PM – 8:30 PM PDT.
This event is FREE and organized by IEEE Computer Society (CS) chapter of Silicon Valley in benefit of all its members.
Online registration is needed. If you did not register, seating is not guaranteed.
Food & drinks will be provided.
- Speaker #1: Gordon Wilson:
CEO and Co-Founder of Rain Neuromorphics
Topic #1: Building bigger brains: Utilizing neuromorphic engineering as the path towards brain-scale intelligence.
- Speaker #2: Patrick Holl
Co-founder and CTO of Fusionbase.io
Topic #2: Be agile on data and query the world!
6:00PM – 6:30PM — Registration, Food, Drink, Networking
6:30PM – 7:15PM— AI and Machine Learning
7:15PM – 8:00PM –Cognitive Architecture in Models for Natural and Artificial Intelligence
8:00PM – 8:30PM — Q&A and Adjourn
The best artificial neural network (ANN) models today are capable of extraordinary tasks. For example, in just the last year natural language processing has progressed massively with the onset of transformer-based models such as BERT from Google and GPT-2 from Open AI. The problem with these models is their cost – one model can take as much energy for training as multiple cars consume in their lifetime. At Rain, we are fundamentally reimagining the processor that underlies the mathematics of all ANNs to enable a step change in both scale and efficiency. We utilize innovations in materials, architectures, and algorithms to build the most brain-like processors ever
Bio: Gordon Wilson
Gordon Wilson is the CEO and Co-Founder of Rain Neuromorphics. Gordon studied mathematics at the University of Florida, where he met the co-founders of Rain. Gordon is passionate about enabling AI to be both incredibly smart and incredibly efficient. He enjoys open water swimming, cooking, and learning about the myriad ways AI is evolving each day.
The age of artificial intelligence and data science requires scalable access to data. Studies show that even today, data science teams spend up to 80% of their time in the discovery and integration process. Traditional integration approaches like ETL, where often a single engineer writes a separate script for each data source does not scale with thousands of data sources. Fusionbase is a novel approach to access data in heterogeneous data landscapes. The system implements a performant query federation layer using semantically enriched dataspaces. This technology allows virtualizing data efficiently and gives ad-hoc analytical access to data scientists on a large variety of data sources
Bio: Patrick Holl
Patrick Holl is the co-founder and CTO of Fusionbase.io – a platform that provides queryable access to thousands of high-quality third-party datasets – all cleaned and ready for analytics. He is also actively contributing to the research community and pursuing his Ph.D. at the TUM. His research focuses on data management and polystore systems. Before, he has worked as a data engineer and consultant for several large corporates in Germany
Open to all to attend
(Online registration is needed. If you did not register, seating is not guaranteed.)