Confidence is persuasive. In artificial intelligence systems, it is often misleading. Today's most capable reasoning models ...
Today’s AI is still unreliable. Some researchers think solving that problem requires teaching AI systems to understand the world around them.
Background To investigate prevalence and risk factors of epiretinal membrane (ERM), particularly those associated with ERM ...
The study, titled “GenAI-Powered Framework for Reliable Sentiment Labeling in Drug Safety Monitoring,” published in Applied ...
Large language models (LLMs) achieve high accuracy on final diagnosis but have poorer performance for generating differential diagnoses.
Abstract: The abstract is an imperfect defect detection model meant to classify various defects of castings. It presents an excellent precision, recall, and $\mathbf{F 1}$-score of six classes of ...
ABSTRACT: Automatic detection of cognitive distortions from short written text could support large-scale mental-health screening and digital cognitive-behavioural therapy (CBT). Many recent approaches ...
Representative images of bacterial microcolonies and food debris captured using a phase-contrast microscope during research by Luyao Ma at Oregon State University. Researchers have significantly ...
Google has quietly reworked Gemini‘s usage limits, splitting the shared pool and boosting the individual caps for the Thinking and Pro models. At launch, both models had the same daily quota, meaning ...
Suting emphasized that the tool could aid clinicians in timely and accurate grading of radiation dermatitis, thereby informing treatment adjustments and supportive care strategies. The use of an ...
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