The problem of "Out-of-Distribution" (OOD) is central here. Think of AI as a driver who knows only known roads. So, faced with an unknown path, it forces entry into its existing maps rather than ...

Many diagnostics-focused artificial intelligence techniques in the state-of-the-art rely on combinations of least-squares-based autoregressive models and neural-network-like approaches. Prognostics ...

Optimization problems often involve situations in which the user's goal is to minimize and/or maximize not a single objective function, but several, usually conflicting, functions simultaneously. Such ...

Already registered? Click here to login now. Linear electromagnetic devices — such as linear motors, generators, actuators, and magnetic gears — play a vital role in precision motion control, energy ...

Abstract: We consider online distributed optimization where a server and multiple devices collaborate to minimize a sequence of time-varying global loss functions. To accommodate slow devices that may ...

KARLSRUHE, Germany and COLLEGE PARK, Md.– Kipu Quantum and IonQ (NYSE: IONQ) announced what they said is a record achievement: the successful solution of “the most complex known protein folding ...

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Trucking industry leaders want to minimize empty-trailer trips to improve costs and efficiency. Uber Freight is using AI on its platform to provide trucking companies with more optimized routes. This ...

When your plants are wilted, discolored, or droopy after potting them up or placing in a garden bed, you're likely dealing with transplant shock. This common plant problem can affect houseplants, ...

Abstract: We study the problem of determining an effective exploration strategy in static and non-linear optimization problems, which depend on an unknown scalar parameter to be learned from online ...