The study highlights machine learning's role in predicting concrete strength with industrial waste, promoting low-carbon solutions in the construction industry.

IonQ combines strong cash reserves, technical advantages, and key partnerships for long-term quantum growth despite near-term ...

On the 40th anniversary of the first use of in-car cameras in F1, David Malsher-Lopez looks back through history at races ...

Paleontologists identified a new ancient reptile appendage. And, how fast did dinosaurs run? A longstanding equation for dino ...

The two incidents were very similar. In Canada, Russell braked and Max Verstappen passed him. At Silverstone, Piastri did the same with the same result. In Canada, the stewards took no action, and ...

A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, offering a more reliable and efficient alternative to traditional estimation ...

The transportation of Formula 1 cars and equipment from one venue to the next is a high-stakes logistical challenge that ...

A two-month-old baby has died after allegedly being given an adult dose of medication by a pharmacy, prompting a wave of ...

Reuters analyzed air conditioning and indoor temperature log data, obtained through public records request, to better ...

This is a valuable computational study of odor responses in the early olfactory system of insects and vertebrates. The study addresses the question of how information about odor concentration is ...