New machine-learning equation accurately assess LDL cholesterol risk

The Martin-Hopkins equation to assess low-density lipoprotein (LDL) cholesterol levels in blood samples has been used by ...
The Tech Edvocate

Project Prometheus: The AI Model Promising 94% Accuracy in Human Behavior Prediction Sparks Outrage

Spread the love“`html In a remarkable leap forward for AI behavior prediction, researchers at MIT have unveiled a new ...
pv magazine International

AI for the electricity grid

Predictive maintenance tools based on artificial intelligence (AI) are already used in electricity grids around the world.
Johns Hopkins Medicine

Machine Learning Method Enables Easier and Wider Use of Martin-Hopkins Equation to Accurately Assess LDL Cholesterol Risk

The Martin-Hopkins equation to assess low-density lipoprotein (LDL) cholesterol levels in blood samples has been used by ...

What Students Need To Know About AI Degrees Before Picking A Major

From AI majors to traditional STEM degrees, here's what you should study if you want to work in artificial intelligence and ...

SWAU introduces new certificate in machine learning

Southwestern Adventist University is expanding its academic offerings with a new Machine Learning Certificate Program designed to equip students with skills in one of the fastest-growing areas of ...
Tech Xplore

New federated learning algorithm enables private, robust, and fast AI development

Three heads are better than one. Versions of this proverb are found worldwide and throughout history. Yet in the race to ...
Courthouse News Service

Uber drivers claim personal data used to manipulate fares

Lead plaintiff Edwin Carranza says Uber unlawfully collects drivers’ personal data, including biometric data and continuous ...
Medscape

Where AI Is Leading and Lagging in Pulmonary and Critical Care

AI tools are proliferating across pulmonary medicine and critical care, with promising early results in diagnostics and ...
IEEE

Accelerating Quantum Approximate Optimization Algorithm using Machine Learning

Abstract: We propose a machine learning based approach to accelerate quantum approximate optimization algorithm (QAOA) implementation which is a promising quantum-classical hybrid algorithm to prove ...