Learning
Humans have learned about their world for millennia. The process accelerates over time. Now, our machines are learning as well.
Technologies don't magically become solutions. They are used within domain, design and deployment contexts. This talk will focus on the singular notion of Learning and how it cross-cuts the distributed systems we are building.
There is no single approach to learning whether we are talking about people or machines. This talk will address a variety of standards, technologies and strategies in the machine learning and knowledge representation spaces. These ideas will build upon the platforms that we have established to produce and share information seamlessly but securely.
About Brian Sletten
Brian Sletten is a liberal arts-educated software engineer with a focus on forward-leaning technologies. His experience has spanned many industries including retail, banking, online games, defense, finance, hospitality and health care. He has a B.S. in Computer Science from the College of William and Mary and lives in Auburn, CA. He focuses on web architecture, resource-oriented computing, social networking, the Semantic Web, AI/ML, data science, 3D graphics, visualization, scalable systems, security consulting and other technologies of the late 20th and early 21st Centuries. He is also a rabid reader, devoted foodie and has excellent taste in music. If pressed, he might tell you about his International Pop Recording career.
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