Researchers use statistical physics and "toy models" to explain how neural networks avoid overfitting and stabilize learning in high-dimensional spaces.
Objectives To assess indirect costs (IDC) due to lost productivity in paid/unpaid labour, stratified by sex, in a national ...
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A simple physics-inspired model sheds light on how AI learns
Artificial intelligence systems based on neural networks—such as ChatGPT, Claude, DeepSeek or Gemini—are extraordinarily ...
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A new algorithm can spot who may be headed for self-harm before warning signs become obvious
Depression, one of the most widespread mental health disorders, is characterized by a persistent low mood and a loss of ...
This paper examines whether automatic credit approval can reduce gender bias in lending to small and medium-sized enterprises ...
Researchers conducted a systematic review to assess the risk of bias and applicability of prediction models for fear of recurrence in patients with cancer.
Metastatic brain tumors (MBTs) represent the most common intracranial malignancy in adults, occurring approximately four to ...
Learn about econometrics, including how it uses statistical models and data analysis to test economic theories, forecast ...
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