Efficient artificial intelligence (AI) hardware is crucial for resource-constrained applications such as healthcare and transportation, where it enhances performance, reduces costs, and supports ...
Energy Efficiency,Heterogeneous Architecture,Incremental Learning,Language Model,Matrix Multiplication,Non-volatile Memory,Resistive Random Access Memory,Deep Neural ...
Genetic variants across the genome contribute to complex human diseases and agricultural traits, but interpreting them can be challenging. We propose a genome-wide variant effect prediction approach ...
Department of Applied Physics and Applied Mathematics, Columbia University, New York, New York 10027, United States Condensed Matter Physics and Materials Science Department, Brookhaven National ...
There is a substantial number of telerobotics and teleoperation applications ranging from space operations, ground/aerial robotics, drive-by-wire systems to medical interventions. Major obstacles for ...
Random Access Memory,Resistive Random Access Memory,Analog-to-digital Converter,Energy Efficiency,High Energy Efficiency,Matrix Multiplication,Neural Network,Power Consumption,Sense Amplifier,Area ...
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