Meta's Pullback Is A Great Time To Buy Into This AI Profit Machine

Meta Platforms (META) is a strong buy after its price dip, driven by AI-fueled growth and high margins. Read here for detailed investment analysis.
Security Info Watch

AI and Machine Learning in Security: Building Smarter, Integrated Systems for a Safer Future

From SOCs to smart cameras, AI-driven systems are transforming security from a reactive to a predictive approach. This ...
EurekAlert!

Researchers develop models to help diagnose ALS earlier through blood biomarkers

Using machine learning models, researchers at Michigan Medicine have identified a potential way to diagnose amyotrophic lateral sclerosis, or ALS, earlier from a blood sample, a study suggests. They ...
News-Medical.Net

Machine learning models can help diagnose ALS earlier from a blood sample

Using machine learning models, researchers at Michigan Medicine have identified a potential way to diagnose amyotrophic ...
Rock Paper Shotgun

AMD's FSR Redstone upgrades are a match for DLSS, even if they slay a sacred cow to do it

AMD are launching FSR Redstone upgrades to their upscaling and frame gen that rival Nvidia DLSS on quality. Here's what they ...
Beebom

What is Deep Learning in AI? Understanding How AI Really Works

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter adjustments. It started with the ...
Que.com on MSN

Understanding AI: Breaking down machine learning, deep learning, and generative AI

Artificial Intelligence (AI) has become a buzzword in today’s tech-driven world, promising new possibilities and reshaping industries. Despite its prevalence, ...
Tech Xplore on MSN

Overparameterized neural networks: Feature learning precedes overfitting, research finds

Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, structureless data. Yet when trained on datasets with structure, they learn the ...
IEEE

Lifeisgood: Learning Invariant Features via In-Label Swapping for Generalizing Out-of-Distribution in Machine Fault Diagnosis

Abstract: In machine fault diagnosis, conventional data-driven models trained by empirical risk minimization (ERM) often fail to generalize across domains with distinct data distributions caused by ...
IEEE

Optimized Breast Cancer Classification Using PCA-LASSO Feature Selection and Ensemble Learning Strategies With Optuna Optimization

Abstract: Breast cancer is one of the most prevalent and life-threatening diseases among women worldwide, making early and accurate detection crucial for effective treatment. This study presents a ...
The Hollywood Reporter

Casting Non-Actors and Athletes in Films Like ‘F1,’ ‘The Smashing Machine’ and ‘Marty Supreme’

Casting directors of some of this season’s buzziest films chronicle how enlisting professionals lent credibility to the contenders. By Max Gao For the first time in the ceremony’s 98-year history, ...