Objectives Elective non-emergent surgical wait times have increased across countries such as Canada, straining operating room ...

Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...

Water is the most abundant liquid on Earth's surface, and it is highly anomalous compared with other liquids because it ...

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 ...

In recent years, the frequency of weather-related natural disasters—cyclones, torrential rains, floods—has increased as a consequence of global warming. These disasters cause billions of dollars in ...

This Collection supports and amplifies research related to SDG 9 - Industry, Innovation & Infrastructure. Discovering new materials with customizable and optimized properties, driven either by ...

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