The conservation of genome regulatory elements over long periods of evolution is not limited to vertebrates, as previously ...

Timekettle, the global leader in AI-powered cross-language communication, today announces a major system-wide upgrade that ...

Inspired by biological systems, materials scientists have long sought to harness self-assembly to build nanomaterials. The challenge: the process seemed random and notoriously difficult to predict.

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results.

Scholars and artists at Sorbonne University trained artificial intelligence to imitate the French playwright’s themes, ...