Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single ...

Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...

Recently, numerous design schemes for high-order sparse linear arrays (SLAs) have been introduced for underdetermined direction-of-arrival (DOA) estimation based on high-order cumulants, which utilize ...

N-D labeled arrays and datasets in Python. Contribute to pydata/xarray development by creating an account on GitHub.

Description Using cupy 13.4.1 and CUDA 12.4 This succeeds : X_cp= cp.array( np.random.random((20000,50000)), dtype=cp.float32) S = cp.sum(X_cp, axis=1) This appears to succeed : X_cp= cp.array( np.

We recently tried to see if we could lower our overall AWS spend. With s3 storage being the main cost center, we looked for ...

On-device fixed-point deep neural network (DNN) accelerators are widely used, but the multiply-accumulate (MAC) units that perform the atomic operations in DNNs have become inefficient due to the ...