Machine learning systems embed preferences either in training losses or through post-processing of calibrated predictions. Applying information design methods from Strack and Yang (2024), this paper ...

Quantum computing represents a potential breakthrough technology that could far surpass the technical limitations of ...

The line between human and artificial intelligence is growing ever more blurry. Since 2021, AI has deciphered ancient texts ...

AI slop and enshittification are making the public social commons unbearable. The alternative pathways are more accessible than you think.

AI/ML are driving a steep ramp in neural processing unit (NPU) design activity for everything from data centers to edge ...

Fluid machinery is integral to a wide range of industries, from energy generation to transportation, and from industrial processing to environmental protection. The challenge of improving the ...

With the rise of 3D printing and other advanced manufacturing methods, engineers can now build structures that were once impossible to fabricate. An emerging design strategy that takes full advantage ...

The source code is for the method presented in [1,2]. It promotes a new boundary evaluation method for micro-geometries in the form of lattices. The basic idea is to replace the nodes within a lattice ...

Abstract: This paper addresses the challenge of enabling a mobile robot to reach target coordinates and posture in minimal time by tackling the complexities of kinematic optimal control problems.

Abstract: This article investigates the adaptive optimal output regulation of completely unknown linear time-invariant systems. First, a dynamic state feedback control policy with assured convergence ...