The study demonstrates machine learning's role in predicting compressive strength of rice husk ash concrete, aiding the shift to sustainable building materials.

The paper identifies three major areas in which AI is now vital. These include financial market prediction, macroeconomic ...

Their study presents a new combination of computational tools that merges the Chinese Pangolin Optimizer (CPO) with the ...

Objective To develop and validate a 10-year predictive model for cardiovascular and metabolic disease (CVMD) risk using ...

Step selection functions are a useful tool for analysing fine-scale human movements to understand environmental interactions in the context of infectious disease epidemiology.

This important study describes a deep learning framework that analyzes single-cell RNA data to identify a tumor-agnostic gene signature associated with brain metastases. The identified signature ...

A recent study shows that 1 in 5 people use AI every day. From the chatbot helping you budget smarter to the recommendations ...

For decades, manufacturing research and d (R&D) has largely relied on a time-tested but costly model: trial and error. Scientists and engineers iterate through experiments, testing different material ...

Telling ChatGPT to fact-check a random answer before solving an actual problem makes it think harder, and get the answer right more often – even if the earlier 'random' answer has nothing to do with ...

Suzanne is a content marketer, writer, and fact-checker. She holds a Bachelor of Science in Finance degree from Bridgewater State University and helps develop content strategies. Regression analysis ...

In the 1980s, the human immunodeficiency virus (HIV) was a global scourge, decimating communities. When it was identified in the blood products supply chain, people were terrified.