autonomous-vehiclesAutonomous Vehicles

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Author: Kevin Mak
Publication Date: Jun 19 2019
Pages: 9
 Report Type: Insight, Word

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Gyrfalcon Technology: Embedded Memory in Processing Matrix Could Revolutionize Artificial Intelligence in Automotive



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Report Summary:

In June 2019, Gyrfalcon Technology, Inc. (GTI) gave more details of its approach to move away from GPUs (Graphics Processing Units) and move towards neural processing architectures that embed memory within a matrix of processing cores.  This strategy has been adopted first by Tesla, but GTI’s solution claims to promise even greater performance and processing efficiency and could thus revolutionize the implementation of Artificial Intelligence in automotive and in other industry sectors.
Table of Contents

Analysis
- Matrix Architecture
- Embedded Memory
- Performance and Efficiency Comparison
- Scalability
- Fabrication
- Faster Time-to-Market
- Business Strategy
- What About FPGAs?

Implications

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