Visual Studio Magazine

Linear Regression with Pseudo-Inverse Training Using JavaScript

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...
eLife

Human brain dynamics and spatiotemporal trajectories during threat processing

Intrinsic neural attractors and extrinsic environmental inputs jointly steer the dynamic trajectories of brain activity ...
IEEE

FastGCNet: A Fast Geometric Constructive Neural Network for the Industrial IoT Data Analysis

Abstract: This paper proposes a Fast Geometric Constructive Neural Network (FastGCNet) that aims to provide a fast learning paradigm for data-driven modelling in resource-constrained Industrial ...

From Pong to path tracing: The leaps that built modern game graphics

Graphics in games don’t improve in a steady, gentle slope. They jump. Someone ships a look that feels like it arrived from five years ahead, and then everyone else has to scramble to match it, ...
Nature

Absolute Value Equations and Iterative Methods

Absolute value equations (AVEs), characterised by the inclusion of absolute value functions in the variables, present inherently non‐smooth and computationally challenging problems that are often ...
MIT Technology Review

This is the most misunderstood graph in AI

To some, METR’s “time horizon plot” indicates that AI utopia—or apocalypse—is close at hand. The truth is more complicated.
AHA/ASA Journals

2026 Guideline for the Early Management of Patients With Acute Ischemic Stroke: A Guideline From the American Heart Association/American Stroke Association

AIM: The “2026 Guideline for the Early Management of Patients With AIS” replaces the “2018 Guidelines for the Early Management of Patients With AIS” and the 2019 update to reflect recent advances in ...
IEEE

Iterative Differential Entropy Minimization (IDEM) Method for Fine Rigid Pairwise 3D Point Cloud Registration: A Focus on the Metric

Abstract: Point cloud registration is a central theme in computer vision, with alignment algorithms continuously improving for greater robustness. Commonly used methods evaluate Euclidean distances ...
Microsoft

Approximation Lasso Methods for Language Modeling

Lasso is a regularization method for parameter estimation in linear models. It optimizes the model parameters with respect to a loss function subject to model complexities. This paper explores the use ...
GitHub

Centrum-IntelliPhysics/local-neural-operator-time-stepper-instead-of-just-time-stepper

This repository contains code for the paper: "Enabling Local Neural Operators to perform Equation-Free System-Level Analysis" G. Fabiani, H. Vandecasteele, S. Goswami, C. Siettos, I.G. Kevrekidis ...
GitHub

QSVD: Efficient Low-Rank Approximation for Unified Query-Key-Value Weight Compression in Low-Precision Vision-Language Models

This repository provides the official implementation of QSVD, a method for efficient low-rank approximation that unifies Query-Key-Value (QKV) weight compression in low-precision Vision-Language ...