Scientific Research Publishing

H-UQ-MFF: Hybrid Uncertainty-Aware Multi-Feature Fusion for Clinically-Translatable Glaucoma Detection with FDA-Compliant Validation ()

Although artificial intelligence (AI) has demonstrated potential in automating glaucoma screening, there is still a ...
InfoWorld

The ‘toggle-away’ efficiencies: Cutting AI costs inside the training loop

You don't need the newest GPUs to save money on AI; simple tweaks like "smoke tests" and fixing data bottlenecks can slash ...

Nvidia Rewrites The AI Storage Rulebook At GTC 2026

How NVIDIA's AI Data Platform and STX reference architecture are reshaping enterprise storage competition, vendor ...
The Conversation

The war on DEI reflects the quiet normalization of white nationalism — in the U.S. and beyond

Henry Giroux does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond their ...
Slator

RWS Benchmarks LLMs for Multilingual Synthetic Data

Slator’s Data-for-AI Market Report identifies this shift as a structural change in the AI value chain, where competitive ...
Scientific Research Publishing

KAN-Transformer Fusion with Mixture of Experts for Temporal Imputation of Spatiotemporal Air Pollution Data ()

The Kolmogorov-Arnold Network (abbr. KAN) is a novel neural network architecture inspired by the Kolmogorov-Arnold ...
mccormick.northwestern.edu

COMP_SCI 496: Theory of Gradient-Based Optimization in ML

In this course, you’ll learn theoretical foundations of optimization methods used for training deep machine learning models. Why does gradient descent work? Specifically, what can we guarantee about ...