AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...

Traditional rule-based systems, once sufficient for detecting simple patterns of fraud, have been overwhelmed by the scale, ...

Researchers from Kyushu University have developed an innovative computational method, called ddHodge, that can reconstruct ...

Sub‑100-ms APIs emerge from disciplined architecture using latency budgets, minimized hops, async fan‑out, layered caching, ...

Network-wide traffic flow, which represents the dynamic traffic volumes on each link of a road network, is fundamental to smart cities. However, the ...

Through a recent notice, the Undergraduate Medical Education Board (UGMEB) of the National Medical Commission (NMC) has ...

To address the trade-off between accuracy and cross-city generalization in traffic flow estimation, a research team from The ...

When Class 12 students will sit down to write the CBSE Chemistry board exam, they are not just recalling equations or ...

Researchers mapped the brain connectivity of 960 individuals to uncover how fast and slow neural processes unite to support complex behavior.

Brookhaven National Laboratory and collaborators have developed a new type of lidar—a laser-based remote-sensing instrument—that can observe cloud structures at the scale of a single centimeter. The ...

Overview: The lesser-known Python libraries, such as Rich, Typer, and Polars, solve practical problems like speed, clarity, ...

On Feb. 17, 2016, the gears ground into life at the massive Belo Monte hydroelectric plant, on the “Large Curve” of the Xingu ...