Black Forest Labs' new Self-Flow technique makes training multimodal AI models 2.8x more efficient

This efficiency makes it viable for enterprises to move beyond generic off-the-shelf solutions and develop specialized models ...

Light in the forest: Computer simulations show increased tree diversity from competition for canopy light

If a tree falls in the forest, it can create an opening for more incoming light, and that makes a significant impact on the surrounding environment, according to new research. An international science ...

Oregon State University researchers use AI to predict freshwater fish species at risk of endangerment

Freshwater fish species have an uphill battle for survival, especially with a changing ecosystem. “So, we’re trying to see ...
Open Heart

Artificial intelligence-based clustering to identify functional risk phenotypes in heart failure

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 ...
Scientific Research Publishing

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

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

Robust Open Circuit Fault Diagnosis Method for Converter Using Automatic Feature Extraction and Random Forests Considering Nonstationary Influence

Abstract: Data-driven methods have shown promising performance in power converter fault diagnosis. However, the existing methods are bothered by the inadequacy of accuracy and robustness, due to the ...
Science Daily

Forests are changing fast and scientists are deeply concerned

Forests around the world are quietly transforming, and not for the better. A massive global analysis of more than 31,000 tree species reveals that forests are becoming more uniform, increasingly ...
IEEE

Anomaly Detection Workflow Using Random Forest Regressor in Large-Scale Photovoltaic Power Plants

Abstract: In large-scale photovoltaic (PV) plants, anomalies can affect performance, and maintenance schedules, and compromise long-term reliability, reducing the financial returns from the PV plant.