Add to ORKGIn this presentation I will describe the latest version of the Numenta HTM Cortical Learning Algorithm and why it is interesting for doing research into radical new computer architectures. Then I will discuss the hardware acceleration research we are doing, and briefly look at some preliminary applications development.https://pdxscholar.library.pdx.edu/systems_science_seminar_series/1064/thumbnail.jp
Quintillions of bytes of data are generated every day in this era of big data. Machine learning tech...
The constant growth of datacenters and cloud computing comes with an increase of power consumption. ...
Yearly increases in computer performance have diminished as of late, mostly due to the inability of ...
In this presentation I will describe the latest version of the Numenta HTM Cortical Learning Algorit...
This presentation provides an update on biologically inspired computation. In particular, it focuses...
This paper documents the investigation and implementation of the mathematics behind artificial intel...
Presented on November 2, 2018 at 8:45 a.m. in the Klaus Advanced Computing Building, Room 1116 East/...
Optimizing computational power is critical in the age of data-intensive applications and Artificial ...
Reconfigurable computing platforms are emerging as the most promising architectures to design genera...
As Moore\u27s law slows down, CPUs offer less annual incremental performance per watt, while demand ...
International audienceComputing hardware, from mobile devices to supercomputer clusters, is undergoi...
Machine learning algorithms continue to receive significant attention from industry and research. As...
Machine learning has risen to prominence in recent years thanks to advancements in computer technolo...
The machine learning revolution under way brought us neural networks that outperform humans at a var...
A growing number of commercial and enterprise systems are increasingly relying on compute-intensive ...
Quintillions of bytes of data are generated every day in this era of big data. Machine learning tech...
The constant growth of datacenters and cloud computing comes with an increase of power consumption. ...
Yearly increases in computer performance have diminished as of late, mostly due to the inability of ...
In this presentation I will describe the latest version of the Numenta HTM Cortical Learning Algorit...
This presentation provides an update on biologically inspired computation. In particular, it focuses...
This paper documents the investigation and implementation of the mathematics behind artificial intel...
Presented on November 2, 2018 at 8:45 a.m. in the Klaus Advanced Computing Building, Room 1116 East/...
Optimizing computational power is critical in the age of data-intensive applications and Artificial ...
Reconfigurable computing platforms are emerging as the most promising architectures to design genera...
As Moore\u27s law slows down, CPUs offer less annual incremental performance per watt, while demand ...
International audienceComputing hardware, from mobile devices to supercomputer clusters, is undergoi...
Machine learning algorithms continue to receive significant attention from industry and research. As...
Machine learning has risen to prominence in recent years thanks to advancements in computer technolo...
The machine learning revolution under way brought us neural networks that outperform humans at a var...
A growing number of commercial and enterprise systems are increasingly relying on compute-intensive ...
Quintillions of bytes of data are generated every day in this era of big data. Machine learning tech...
The constant growth of datacenters and cloud computing comes with an increase of power consumption. ...
Yearly increases in computer performance have diminished as of late, mostly due to the inability of ...