High-Dimensional Computing, SDM Memory & Hyperscaling - A session on the Cloud’s missing AI component

High-Dimensional Computing, SDM Memory & Hyperscaling - A session on the Cloud’s missing AI component

It has become strikingly evident that memory is one of the most prominent elements of human cognition and one that has become increasingly important for artificial intelligence (AI) systems. As AI agents evolve into the third wave and tackle more complex scenarios, the role of memory is not only relevant but has become mandatory. Paradoxically, memory models are one of the most notably missing components of AI platforms and frameworks. The session provides a brief review of conventional memory use in today’s server based systems followed by an introduction and description of an architecture based on High-Dimensional SDM memory called the “Kanerva Partition” and how HD Computing will transform future Machine Learning and Artificial General Intelligence systems.


Room C


Principal Analyst, WebFeet Research Inc.
WebFeet Research Inc.
Gil Russell merged Semiscape with WebFeet Research Inc. in August 2016. He continues his research into semiconductor memory technology and their optimum utilization in hardware/algorithmic frameworks for both machine learning and general intelligence classes of computing. This includes these sub-derivative elements;

• Near Data Processing Acceleration
• Predictive Analytics
• Neuromorphic Architectures
• In-Memory Computing Cognitive Extensions

Current research is focused on investigating the adaption of In-Memory Compute machine server architecture to High-Dimensional Computing within a standard rack model space – leading to the development of a standard hyperscale cognitive base element for Cloud Computing.
WebFeet Research
Alan Niebel is the CEO for WebFeet Research that has been recognized as the premier market research firm that focuses exclusively on the memory and storage markets. WFR’s charter qualifies and quantifies Flash and non-volatile memory and bridges their transition to next generation use and cognitive computing. Alan’s over 35 year career in electronics includes over 20 years as an analyst where he writes, speaks and consults with every major semiconductor manufacturer. His current projects analyze emerging market solutions for In-Memory Computing inclusive of first generation persistent memory platforms. Subjects covered include the application of intelligence to direct attached Flash Storage, Memory Channel NVDIMM and DRAM/NVRAM/XPoint technologies.

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