Neuroscientists want to understand how individual neurons encode information that allows us to distinguish objects, like ...

This also allows now to pass raster data with noData values to the encoder without first creating the valid / invalid byte mask. NoData values can be passed both ways, as noData or as byte mask. Note ...

An analytical model for a novel triple reduced surface field (RESURF) lateral double-diffused metal-oxide-semiconductor (LDMOS) field-effect transistor with a low on-resistance n-type top (N-top) ...

Radio-frequency fingerprints (RFFs) are promising solutions for realizing low-cost physical layer authentication. Machine learning-based methods have been proposed for RFF extraction and ...

Studies show that climate-driven turbulence is expected to increase further in the coming decades. See how major flight ...

This important study demonstrates the significance of incorporating biological constraints in training neural networks to develop models that make accurate predictions under novel conditions. By ...

Demonstration SnowCast SnowCast is an experimental, daily data product that uses the Global Environmental Multiscale (GEM) model forecasts from Environment and Climate Change Canada (ECCC) to drive ...

The model also supports molecular subtyping and predicts treatment response. Decision Interpretation of MOME. Credit: Nature Communications (2025). DOI: 10.1038/s41467-025-58798-z ...

Sigma, the industry-leading analytics platform with unique cloud data platform writeback capabilities, today announced at Snowflake Summit 2025, two major pl ...