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

Large-scale recommendation systems are becoming harder to improve because they no longer operate as isolated models. Modern ...

As energy companies push AI deeper into industrial operations, success increasingly depends on governance, trusted data, and ...

Transaction expands Symbotic’s solution from automation execution to full-scale, AI-powered operational intelligence across the entire warehouse ecosystem Unifies automated systems and human workflows ...

In 2022, global production of construction materials accounted for more than 7% of total carbon emissions. But how many of ...

Arbor separates strategy from execution using isolated git worktrees, so engineering teams can finally trace which optimization actually moved the needle.

Abstract: A machine learning-assisted quasi-bisection method (MLAQBM) is proposed for the broadband optimization of the pixelated patch antennas. Distinct from traditional MLA optimization methods, ...

Abstract: Artificial intelligence (AI) plays a critical role in Intelligent Transport Systems (ITS) as urban areas grow by processing data for safety enhancements, predictive analysis, and traffic ...

ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...

Sepsis is a global health threat that has a high incidence and mortality rate. Early prediction of sepsis onset can drive effective interventions and improve patients’ outcome. Data were collected ...