We asked doctors which kind of thermometer is the most accurate, and selected the best options for home use from brands like ...

Precise underwater navigation is critical for autonomous and remotely operated deep-sea vehicles, yet variations in seawater ...

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 ...

Escalating pollution and contamination of water and soil are emerging as serious threats to plant growth and its overall ...

In AIoT-based systems, sensors continuously collect high-frequency data such as vibration, temperature, pressure, and electrical signals. These data streams are processed by machine learning and deep ...

Analyzing stochastic cell-to-cell variability can potentially reveal causal interactions in gene regulatory networks.

The Temporal Fusion Transformer model provides near-real-time insights into sintering temperatures, addressing critical ...

NOAA is using those traditional forecasting models as frameworks for its new AI forecasting systems. The agency has estimated ...

Before you list your home or condo for sale, consider hiring a home stager to make a great first impression. As a result, it ...

Researchers developed DeepMet, a new AI system that sharply improves long-range weather forecasting across the U.S. The model ...

Smart Meter, the leader in cellular-enabled remote patient monitoring (RPM) solutions, is proud to announce the launch of the ...