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 ...

A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...

EMBL-EBI scientists and collaborators at Heidelberg University have developed CORNETO, a new computational tool that uses ...

In the last two decades, mass digitization has dramatically changed the landscape of scholarly research. The ability to ...

Researchers have demonstrated a new technique that allows "self-driving laboratories" to collect at least 10 times more data ...

When someone starts a new job, early training may involve shadowing a more experienced worker and observing what they do ...

Data Science Agent uses Anthropic PBC’s Claude large language model to dissect machine learning projects into logical steps and deliver executable pipeline components that can be run inside ...

Scientists have discovered a way to use live tissue as a computational reservoir to solve problems and potentially predict chaotic systems like the weather.

A new scientific machine learning framework developed by Professors Horacio D. Espinosa, Sridhar Krishnaswamy, and collaborators accurately predicts and inversely designs the mechanical behavior of ...

Setting this mindless process in motion lets a mathematical approximation of the task emerge automatically, without human beings having to specify which details matter. With efficient algorithms, well ...