A new technical paper titled “Energy-/Carbon-Aware Evaluation and Optimization of 3D IC Architecture with Digital Compute-in-Memory Designs” was published by researchers at Cornell University. “In ...

Differential microphone arrays (DMAs) have demonstrated a great potential for high-fidelity acoustic and speech signal acquisition in a wide range of applications since such arrays are able to achieve ...

Discover how to efficiently initialize numpy arrays for optimized data science workflows, including tips on choosing data types and avoiding common pitfalls.

In this paper, vertical motions of sparse linear arrays (SLAs) are utilized to generate equivalent synthetic planar arrays for two-dimensional (2D) direction-of-arrival (DOA) estimation. The proposed ...

We report the crowding of Au nanoparticles (Au NPs) on a surface-enhanced Raman scattering (SERS) 2D array substrate with high nanoparticle surface coverage in a combined approach for the ...

This post shows you how to use arrays in Python and why this data structure is so useful. A foundational skill for data science, coding, and more!

In order to visualize two-dimensional arrays of data, it is necessary to understand how to generate and manipulate 2-D arrays. Many Matplotlib plots support arrays as input and in particular, they ...

you convert the column using pandas df[tensor_column_name].values which gives back a 1D numpy array and inside which there are again 1D numpy arrays/list and this fails the TF prediction as it was ...