AI coding has split software engineers into tribes. Meet the fans, skeptics — and those in between.

The discourse around AI often focuses on those who entirely embrace — or deeply despise — the tech. For engineers, the truth ...
SecurityWeek

Decades-Old Bash Tricks Expose AI Coding Agents to Supply Chain Attacks

Decades-old Bash shell tricks can bypass safeguards in most open source AI coding agents, creating a new software supply ...
IEEE

Riemannian Dictionary Learning and Sparse Coding for Positive Definite Matrices

Abstract: Data encoded as symmetric positive definite (SPD) matrices frequently arise in many areas of computer vision and machine learning. While these matrices form an open subset of the Euclidean ...
IEEE

Joint and Direct Optimization for Dictionary Learning in Convolutional Sparse Representation

Abstract: Convolutional sparse coding (CSC) is a useful tool in many image and audio applications. Maximizing the performance of CSC requires that the dictionary used to store the features of signals ...
Frontiers

Sparse Coding Using the Locally Competitive Algorithm on the TrueNorth Neurosynaptic System

The Locally Competitive Algorithm (LCA) is a biologically plausible computational architecture for sparse coding, where a signal is represented as a linear combination of elements from an ...
acm.org

Compressed Linear Algebra for Declarative Large-Scale Machine Learning

Large-scale Machine Learning (ML) algorithms are often iterative, using repeated read-only data access and I/O-bound matrix-vector multiplications. Hence, it is crucial for performance to fit the data ...