For millions of Americans, the Social System is the bedrock of their retirement plan. For instance, a 2024 survey by the Seniors League found that for 67% of retirees, benefits accounted for more than ...

Background Adult-onset Still’s disease (AOSD) is a systemic autoinflammatory disorder lacking a gold-standard diagnostic ...

Quantistry uses AI and machine learning to help non-experts create and simulate compounds, without quantum or chemistry expertise.

Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...

A look at how social media algorithms decide what content gets pushed, focusing on engagement signals, viewer behavior, and ...

Scientists have demonstrated a powerful new way to search for one of physics' biggest prizes: practical superconductors.

We estimated the uncertainty of the model outputs using conformal prediction (CP). The Shapley Additive Explanations method was used to explain the model. Results: The multiclass gradient boosting ...

More than 20% of the workload on the world's 500 fastest supercomputers is spent simulating how atoms and molecules move—with applications ranging from material design to identifying drug interactions ...

Abstract: This article proposes a multi-objective optimization method for the optimization design of a new dual-stator arc permanent magnet machine (DS-APMM) which can be applied on the direct-drive ...

Six ML algorithms (Extreme Gradient Boosting [XGBoost], logistic regression (LR), Light Gradient Boosting Machine [LightGBM], random forest [RF], support vector machine [SVM], and k-nearest neighbor ...

For years, social media giants controlled what users saw in their feeds. While people could follow accounts, like posts or hide content they didn’t enjoy, recommendation algorithms controlled what was ...