Dronelife

University of Tokyo and Kubota Develop Drone Potato Yield Prediction Method

UTokyo and Kubota develop a drone potato yield prediction method combining multispectral imagery, AI, and growth models.
Frontiers

Hybrid Hydroinformatics: Integrating Machine Learning and Process-Based Modeling for Climate-Resilient Water Systems

The hydrologic system is subjected unprecedented stresses and increasing demands driven by climate variabilities, landuse changes, groundwater ...
Healio

Electronic health record-based machine learning models improve OSA prediction

Machine learning models that use electronic health record data to predict obstructive sleep apnea had greater performance than two screening questionnaires, according to a poster presented at SLEEP ...
Frontiers

Early Warning Systems for Coastal and Nearshore Infrastructure: Integrating Forecasting, Data Assimilation, and Machine Learning

Coastal and nearshore zones face growing pressure from storms, flooding, erosion, and sea-level rise, which threaten civil infrastructure such as ports, ...
The Manila Times

Allora Labs Launches Forge to Let AI Models Compete, Improve, and Earn on Real-World Predictions

The world's first arena for predictive intelligence, Forge is a live environment where machine learning models compete on real-world problems and improve together, built on the thesis that the future ...
Hosted on MSN

Self-learning AI generates NFL picks, score predictions for 2026 NFC, AFC Championship Games

A trip to Super Bowl LX will be on the line Sunday with both the AFC and NFC Championship Games. In the AFC, Drake Maye and the New England Patriots take on backup quarterback Jarrett Stidham and the ...