Mapping cell development with mathematics-informed machine learning

The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...

The AI Stack Trap: The Hidden Cost Of Overbuilding With AI

AI tooling is easier to adopt than ever, but many startups are layering models, frameworks, and APIs long before they understand their real value. This article examines how premature AI stacks create ...
Live Science

MIT's chip stacking breakthrough could cut energy use in power-hungry AI processes

Engineers from MIT say that stacking circuit components on top of each other could be the answer to creating more ...
SciELO

Computer-Aided Polyps Classification from Colonoscopy Using Stacking-Based Deep Learning Model

Colorectal cancer is responsible for a high proportion of cancer mortality. The most effective way to avoid colorectal cancer is to have a colonoscopy. However, not every polyp in the colon is prone ...
Fierce Healthcare

Verily, Innovaccer and Diligent Robotics ink deals with Nvidia for AI tech stack

As Nvidia pushes forward on its ambitions in artificial intelligence, the computing giant is lining up partnerships with tech companies to build out AI infrastructure and capabilities. During the ...
C&EN

StackNAFLD: An Accurate Stacking Ensemble Learning Targeting NAFLD Treatment

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. In this article, we constructed a stacking model called ...
IEEE

A Hybrid Deep Learning-Machine Learning Stacking Model for Yemeni Arabic Dialect Sentiment Analysis

Abstract: With the rise of online communities, Yemeni Arabic has gained increasing exposure to written social media content. Nevertheless, sentiment analysis studies have largely centered on Modern ...
IEEE

Automated Prediction of Gamburtsev Subglacial Lakes in East Antarctica With Optimized Stacking Ensemble Learning

Abstract: The development in machine learning (ML) technology has brought new horizons for the prediction of subglacial lakes (SLs) using radio-echo sounding (RES) data, offering fresh perspectives ...
C&EN

Simulation of Core Flooding with Predicted Oil and Water Relative Permeabilities Using Bagging, Boosting, and Stacking Machine Learning Techniques

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Despite global efforts to transition from fossil fuels to ...