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 ...

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

LLM training data mixture optimization breaks when training pools shift — every prior proxy experiment becomes stale.

Allora Labs today launches Forge, the world's first arena for predictive intelligence: a live environment where AI models ...

Discover how an influx of artificial intelligence and machine learning will imbue RF/microwave design flows, traditionally ...

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 next-generation silicon, AI can interpret system behavior at scale, but only if observability is designed into the fabric ...

Abstract: In unmanned aerial vehicle (UAV)-assisted massive multi-input multi-output (MIMO) millimeter-wave (mmWave) networks, beam-steering guarantees reliable and steady connection between flying ...

Discover how the best route optimization software improves driver performance, reduces costs, boosts fleet efficiency, and ...