Many engineering challenges come down to the same headache—too many knobs to turn and too few chances to test them. Whether tuning a power grid or designing a safer vehicle, each evaluation can be ...

Those that solve artificially simplified problems where quantum advantage is meaningless. Those that provide no genuine quantum advantage when all costs are properly accounted for. This critique is ...

Abstract: As an evolving frontier in the application of uncrewed aerial vehicles (UAVs), the incorporation of labor division intelligence from natural biological groups into UAV swarms is garnering ...

Public companies have strong incentive to portray themselves as AI leaders, but when the promised AI-driven benefits fail to materialize, ...

Quantum computers—devices that process information using quantum mechanical effects—have long been expected to outperform classical systems on certain tasks. Over the past few decades, researchers ...

Cartpole is often used in reinforcement learning research: it's easy to simulate and fast to run, but unlike pattern recognition tasks, it requires constant, fine-grained adjustments rather than a ...

Name, image and likeness (NIL) deals have flooded college sports with hundreds of millions of dollars — but universities and team general managers have been operating with little formal oversight, ...

It’s no longer a whisper; the NBA has a brazen and embarrassing tanking problem. The Utah Jazz closed the third quarter Monday, Feb. 9 against the Miami Heat up by three. They had been dominating ...

Abstract: Metaheuristic algorithms have demonstrated strong effectiveness in solving complex real-world optimization problems. This paper presents two discrete metaheuristic approaches for the ...