Readers Edition. This is the (nearly) annual tradition of you, RPS readers, telling us where we went wrong in our annual ...

Learn how to run local AI models with LM Studio's user, power user, and developer modes, keeping data private and saving monthly fees.

Abstract: This work presents an estimator-based distributed preset-time algorithm that effectively addresses the equality-constrained optimization problem on directed graphs (digraphs). Initially, we ...

Abstract: In constrained signal processing, which encompasses areas such as compressed sensing, noisy signal recovery, and matrix completion, the communication overhead of gradients, both inter- and ...

Peter Gratton, Ph.D., is a New Orleans-based editor and professor with over 20 years of experience in investing, risk management, and public policy. Peter began covering markets at Multex (Reuters) ...

DeepSeek has introduced Manifold-Constrained Hyper-Connections (mHC), a novel architecture that stabilizes AI training and ...

A comprehensive tutorial repository for learning deep learning model optimization techniques, including network tuning, backpropagation optimization, overfitting management, and root cause analysis.

Mammotion Luba Mini AWD LiDAR: full review of the cordless robotic lawnmower for gardens up to 1500 m². Tri-Fusion LiDAR ...

Two tech enthusiasts independently transformed aging Chromebooks into functional Linux servers last week, demonstrating how ...