Abstract: This paper describes an in-memory computing architecture that combines full-precision computation for the first and last layers of a neural network while employing binary weights and input ...

Spectralmatch provides algorithms to perform relative radiometric normalization (RRN) to enhance spectral consistency across raster mosaics and time series. It is built for geoscientific use, with a ...

Abstract: Layer normalization (LN) function is widely adopted in Transformer-based neural networks. The efficient training of Transformers on personal devices is attracting attention for data privacy ...

Target Corporation’s TGT ongoing shrink normalization is shaping up as one of the most visible contributors to near-term margin stabilization, even as top-line trends remain pressured. After multiple ...