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Lossless FFTs Using Posit Arithmetic
Bedot: Bit Efficient Dot Product for Deep Generative Models
A paradigm for interval-aware programming
Decoding-free Two-Input Arithmetic for Low-Precision Real Numbers
Hybrid SORN Hardware Accelerator for Support Vector Machines
PHAc: Posit Hardware Accelerator for Efficient Arithmetic Logic Operations
Fused Three-Input SORN Arithmetic
Towards a Better 16-Bit Number Representation for Training Neural Networks
Improving the Stability of Kalman Filters with Posit arithmetic
Evaluation of the use of Low Precision Floating-Point Arithmetic for Applications in Radio Astronomy
PLAUs: Posit Logarithmic Approximate Units to Implement Low-Cost Operations with Real Numbers.
Bedot: Bit Efficient Dot Product for Deep Generative Models
A paradigm for interval-aware programming
Decoding-free Two-Input Arithmetic for Low-Precision Real Numbers
Hybrid SORN Hardware Accelerator for Support Vector Machines
PHAc: Posit Hardware Accelerator for Efficient Arithmetic Logic Operations
Fused Three-Input SORN Arithmetic
Towards a Better 16-Bit Number Representation for Training Neural Networks
Improving the Stability of Kalman Filters with Posit arithmetic
Evaluation of the use of Low Precision Floating-Point Arithmetic for Applications in Radio Astronomy
PLAUs: Posit Logarithmic Approximate Units to Implement Low-Cost Operations with Real Numbers.