BURLINGTON, Mass., Dec. 9, 2025 /PRNewswire/ -- MatrixSpace, a leader in portable AI-enabled radar for counter-UAS (C-UAS), announces the availability of its revolutionary Portable 360 Radar™. This ...

Abstract: Matrix operators are fundamental to various applications, particularly in deep learning. While early models relied on dense operations, techniques like pruning have introduced sparsity, ...

This library provides PyTorch implementations of tensor-train decomposed neural network layers that can significantly reduce the number of parameters in deep neural networks while maintaining accuracy ...

Leaders recognition highlights Broadridge's successful accelerated strategy to invest in technology and innovation to drive business value for its BPO clients across capital markets, wealth and asset ...

The threat actor behind the malware-as-a-service (MaaS) framework and loader called CastleLoader has also developed a remote access trojan known as CastleRAT. "Available in both Python and C variants, ...

Multiplication in Python may seem simple at first—just use the * operator—but it actually covers far more than just numbers. You can use * to multiply integers and floats, repeat strings and lists, or ...

One of the fundamental operations in machine learning is computing the inverse of a square matrix. But not all matrices have an inverse. The most common way to check if a matrix has an inverse or not ...

Abstract: Matrix transpose operations (sometime called corner turns) are used in many applications, such as neural network processing, pulse-Doppler processing, back projection algorithm and more.