Why write ten lines of code when one will do? From magic variable swaps to high-speed data counting, these Python snippets will transform your code.

Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models.

After detecting a zero-day attack, the country's effective response was attributed to the tight relationship between its government and private industry.

To fill the talent gap, CS majors could be taught to design hardware, and the EE curriculum could be adapted or even shortened.

There's been a seismic shift in science, with scientists developing new AI tools and applying AI to just about any question that can be asked. Researchers are now putting actual seismic waves to work, ...

Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...

In an early test of how AI can be used to decipher large amounts of health data, researchers at UC San Francisco and Wayne ...

A Purdue University digital forestry team has created a computational tool to obtain and analyze urban tree inventories on ...

A team of UCSF researchers successfully tested several mainstream AI agents for the ability to analyze big data on women's ...

Clinical neurophysiology examinations include electroencephalography, sleep and vigilance studies, as well as nerve conduction recordings. Interpretation of these recordings is largely taught during ...

Large language models (LLMs) can suggest hypotheses, write code and draft papers, and AI agents are automating parts of the research process. Although this can accelerate science, it also makes it ...

The field of particle physics is approaching a critical horizon defined by challenges including unprecedented data volumes and detector complexity. Upcoming ...