Ultrafast machine learning on FPGAs via Kolmogorov-Arnold Networks
Ultrafast inference and online learning can be achieved using hardware architectures designed for Kolmogorov-Arnold Networks (KAN) on FPGAs. The research focuses on optimizing these architectures to enhance machine learning performance.
aarushgupta.io
13 min
6/9/2026
447 TB/cm² at zero retention energy – atomic-scale memory on fluorographane
A new memory architecture using single-layer fluorographane can achieve 447 terabytes per square centimeter with zero retention energy. This innovation aims to address the widening gap between processor throughput and memory bandwidth, exacerbated by increased AI demand and a NAND flash supply crisis.
zenodo.org
1 min
4/11/2026
Ultrafast machine learning on FPGAs via Kolmogorov-Arnold Networks
Ultrafast inference and online learning can be achieved using hardware architectures designed for Kolmogorov-Arnold Networks (KAN) on FPGAs. The research focuses on optimizing these architectures to enhance machine learning performance.
aarushgupta.io
13 min
6/9/2026
447 TB/cm² at zero retention energy – atomic-scale memory on fluorographane
A new memory architecture using single-layer fluorographane can achieve 447 terabytes per square centimeter with zero retention energy. This innovation aims to address the widening gap between processor throughput and memory bandwidth, exacerbated by increased AI demand and a NAND flash supply crisis.
zenodo.org
1 min
4/11/2026
Ultrafast machine learning on FPGAs via Kolmogorov-Arnold Networks
Ultrafast inference and online learning can be achieved using hardware architectures designed for Kolmogorov-Arnold Networks (KAN) on FPGAs. The research focuses on optimizing these architectures to enhance machine learning performance.
aarushgupta.io
13 min
6/9/2026
447 TB/cm² at zero retention energy – atomic-scale memory on fluorographane
A new memory architecture using single-layer fluorographane can achieve 447 terabytes per square centimeter with zero retention energy. This innovation aims to address the widening gap between processor throughput and memory bandwidth, exacerbated by increased AI demand and a NAND flash supply crisis.
zenodo.org
1 min
4/11/2026
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