Abstract: In this paper, we propose a new noise-tolerant neurodynamic algorithm with fixed-time convergence to solve mixed variational inequality problems (MVIPs) and design the circuit framework for ...

Those that solve artificially simplified problems where quantum advantage is meaningless. Those that provide no genuine ...

Celeste Kidd's research challenges long-standing ideas from Jean Piaget about children's problem-solving abilities. Her ...

Abstract: One of the problems with Smart Transportation is the problem of cost and travel time. This problem is known as the Variable Routing Problem (VRP). In some real cases, in addition to ...

UC Santa Cruz researchers are exploring how brains learn, adapt, and improve, which could help us better understand and address neurological conditions.

Scholar argues that anti-discrimination law alone cannot address bias hidden in algorithms. Algorithms also analyze and combine numerous data points in a way that can be difficult to untangle, making ...