MIT researchers designed a computationally efficient algorithm for machine learning with symmetric data that also requires fewer data for training than conventional approaches. Their work could inform ...

Imagine having a super-powered lens that uncovers hidden secrets of ultra-thin materials used in our gadgets. Research led by ...

The app is expected to operate on a separate algorithm and data system and users outside the US would not find this version in their app store, sources said.

Deep learning outperforms existing algorithms in glacier surface velocity estimation with high-resolution data – the example of Austerdalsbreen, Norway ...

California's data privacy agency and several politicians are folding from pressure by business interests and pushing to weaken protections.

Multi-source data fusion (Jiao et al., 2023) makes full use of multi-sensor arrays to collect resource data, packages them into a single dataset, and then uses different algorithms to extract the ...

Objective This study aimed to validate claims-based algorithms for identifying SLE and lupus nephritis (LN) in Medicare data, enhancing the use of the Lupus Index for geospatial research on SLE ...

Methods A claims-based algorithm was developed to categorize patients by disease stage on the basis of the administrative claims portion of the SEER-Medicare linked data. The algorithm was validated ...