Abstract: Many existing surrogate-assisted optimization algorithms are limited to designing antennas with continuous variables only. However, numerous challenges emerge when tackling antenna ...

Is the $899 PS5 Pro a better value than the $1,049 Steam Machine? We look at the pros and cons of each platform to determine ...

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

Solving complex optimization problems is central to many modern technologies, from logistics and financial modeling to chip ...

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 ...

A new study reveals that dual-atom catalysts behave in a fundamentally different way than scientists previously thought, challenging a long-standing model used to predict catalytic performance.

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

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 ...