People are getting excessive mental health advice from generative AI. This is unsolicited advice. Here's the backstory and what to do about it. An AI Insider scoop.

AT&T's chief data officer shares how rearchitecting around small language models and multi-agent stacks cut AI costs by 90% at 8 billion tokens a day.

Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), which significantly increases their risk of poor outcomes. However, current ...

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...

Every week, the first item in Michael Hartnett’s Flow Show report has a proprietary dashboard for trading sentiment on a scale from zero to ten: the Bull & Bear indicator. It swings from extreme ...

Stock-market bulls are rooting for the Seattle Seahawks in the Super Bowl this Sunday, while the bears are rooting for the New England Patriots. Investors familiar with stock-market history don’t care ...

This review presents a summary of current approaches to extract functional information from structural data on proteins and their complexes. While structural homologs may reveal possible biochemical ...

Objectives The optimal maternal age at childbirth has been a topic of bourgeoning literature, with earlier ages offering physiological benefits for maternal recovery. In contrast, later ages to give ...