Northwestern University and University of California, Los Angeles (UCLA) scientists have developed a new process-based ...

This research aims to reactivate object-oriented databases using intelligent tools to improve performance and accuracy in ...

One of the shared, fundamental goals of most chemistry researchers is the need to predict a molecule's properties, such as ...

Press Release MeMed, a global leader in host-response diagnostics, today announced the completion of its multi-year development of MeMed BV Flex, an innovative, next-generation test designed to expand ...

TrainCheck uses training invariants to find the root cause of hard-to-detect errors before they cause downstream problems, ...

One of the shared, fundamental goals of most chemistry researchers is the need to predict a molecule's properties, such as ...

Despite the AI hype, ML tools really are proving valuable for leading-edge chip manufacturing. More aggressive feature ...

These systems focus on improving forecast accuracy, efficiency, and extreme weather handling through advanced machine ...

Although they mostly go unnoticed by humans, small earthquakes occur much more frequently than large earthquakes, and knowing ...

Advancements in biomedical technologies have significantly facilitated the diagnosis and monitoring of diseases. Nonetheless, traditional diagnostic ...

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...

Researchers employed a machine learning technique known as random forest analysis and found that it significantly outperformed traditional methods in predicting which hospitalized patients with ...