Over three years, we’ve built progressively harder, more realistic benchmarks for medical AI. Here’s what we learned.
An OpenAI model in training pulled server credentials and forged access tokens on a government site to get hospital-bed data, then saved 24 years of records.
In a setting where a mistranslated word can mean the difference between an accurate diagnosis and a dangerous mistake, the ...
Hello, I'm Kurushiba.If you could apply the code review standards used by the development team at error monitoring service ...
As I prepared for my appointment, the hospital asked me to sign its registration forms and to sign up for MyChart. In the ...
Veterans have launched a class action against the department for ‘mass and routine sharing’ of their medical records over 20 ...
AI is accelerating antibiotic discovery, but clinical translation requires standardized data, safety optimization, and new ...
We’re giving developers, enterprises, scientists, and consumers access to Gemini 4 Argon, our latest frontier model.
Hello, good evening, this is Yasharia!Recently, there is a conversation I often hear in the engineering community."If AI ...
Researchers in Graz have developed GluCINDa, an open-source Python tool that deterministically harmonises continuous glucose ...
In the field of radiology, AI models have the potential to improve imaging analysis, speed up diagnoses, and catch errors ...
Runtime Verification CEO Everett Hildenbrandt and UIUC professor Grigore Roșu argue that formal verification — writing a mathematical specification ...
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