Learning how a physical system behaves usually means repeating measurements and using statistics to uncover patterns. That ...

While sensing technologies have advanced rapidly, the study identifies data fragmentation as one of the most persistent ...

This study provides important evidence that negative affect is associated with slower cognitive processing in daily life, with findings replicated across three independent samples and supported by ...

Researchers in Slovakia have demonstrated a machine-learning framework that predicts PV inverter output and detects anomalies using only electrical and temporal data, achieving 100% accuracy in ...

Al-Barari Organization for Nature Conservation has warned of growing risks posed by bird strikes at Mitiga Airport, noting ...

Every sports fan knows the feeling. You call a game perfectly— maybe you saw the Lakers’ defensive holes before anyone else, or you knew the Bills would struggle against man coverage. But instead of ...

It doesn’t look like much from the outside, so to speak, but semiconductor giant Nvidia ($NVDA) just flashed a rare ...

In a remote corner of Southeast Greenland, a small, isolated group of polar bears is doing something scientists once thought ...

Introduction Pre-exposure prophylaxis (PrEP) is an effective HIV prevention strategy, but its impact is limited by low uptake ...

Objective Chronic kidney disease (CKD) arises due to uncontrolled hypertension (HTN). HTN significantly increases the risk of complications in vital organs, mainly the kidneys. If hypertensive ...

CryoDRGN is a neural network based algorithm for heterogeneous cryo-EM reconstruction. In particular, the method models a continuous distribution over 3D structures by using a neural network based ...

Data Factor, New Quality Productive Forces, Industry-University-Research Cooperation, Industrial Structure Optimization Share ...