Machine learning models can predict the risk for developing moderate-to-severe persistent asthma and allergic rhinitis in children diagnosed with early-life atopic dermatitis.

Whether estimating the probability that a disease is present or forecasting risk of deterioration,1 readmission,2 or death,3 most contemporary clinical artificial intelligence (AI) systems are ...

Abstract: Cooperative yaw control is a critical solution to reduce wake effect and improve power generation of wind farms, and its implementation based on analytical wake model is crucial to realizing ...

Antimicrobial resistance (AMR) is an urgent and growing concern in global health, threatening the effectiveness of antibiotics and the management of ...

Meta released an AI model on Wednesday called Muse Spark, which marks its “first step” toward an “overhaul of [its] AI efforts.” Muse Spark is the inaugural model to come out of Meta Superintelligence ...

Forbes contributors publish independent expert analyses and insights. Pam Danziger reports on retail, focused on the luxury consumer market. This voice experience is generated by AI. Learn more. This ...

Abstract: Conventional finite control set model predictive control (FCS-MPC) is widely employed in grid-connected inverters for fast and accurate grid current tracking. However, in practical ...

Data science is everywhere, a driving force behind modern decisions. When a streaming service suggests a movie, a bank sends a warning about unusual activity on an account, or a weather app predicts ...

Large language models trained on vast datasets could speed genomics research, streamline clinical documentation, improve real-time diagnostics, support clinical decision-making, accelerate drug ...