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 ...
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 ...
SciTech Daily

Physicists Solve a “Quantum-Only” Problem Using an Ordinary Laptop

Tensor networks enable researchers to tackle quantum physics problems previously thought to be solvable only by quantum computers. Credit: Lucy Reading-Ikkanda/Simons Foundation By applying a 1980s ...
Forbes

The Hardest Engineering Problems Are Your Best Recruiting Tool

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. When every company competes for the same engineering talent, it often turns into a battle to ...
WPTV-TV

Port St. Lucie using treatment to solve water issues in Sawgrass Lakes community

PORT ST. LUCIE, Fla. — WPTV is following through on water conditions in the Sawgrass Lakes community in Port St. Lucie. WATCH BELOW: 'The lake is sick,' Bob Shonce tells WPTV's Port St. Lucie Tyler ...
IGN

All Tools and How to Craft

Tools will help you survive the alien ocean of Subnautica 2, but you'll only have access to the basic necessities when you first swim out into the Shallows. The best tools have to be unlocked by ...
Slate

A.I.’s First Big Math Breakthrough Is Not What It Seems

Only Slate Plus members can gift Slate stories. Become a member to share 10 free articles a month. Sign up for the Slatest to get the most insightful analysis, criticism, and advice out there, ...
IEEE

N(CO) 2: Neural Combinatorial Optimization with Chance Constraints to Solve Stochastic Orienteering

Abstract: Neural combinatorial optimization (NCO) offers a promising alternative to traditional heuristic-based methods for solving complex graph optimization problems by proposing to learn heuristics ...
IEEE

A Coevolutionary Response Framework for Dynamic Constrained Multi-Objective Optimization Problems

Abstract: Dynamic constrained multi-objective optimization problems (DCMOPs) present significant challenges due to the evolving nature of both objectives and constraints. These problems require ...