Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

With technology such as cameras, displays, and sensors built into their frames, smart glasses can provide augmented reality (AR) views, AI assistants, and Instagrammable snapshots directly on your ...

Abstract: This paper presents a novel approach to practical nonlinear model predictive control (PNMPC) using Kolmogorov–Arnold networks (KANs) as prediction models. KANs are based on the ...

Abstract: In this article, a data-driven control framework with unknown input constraints is proposed for the orientation tracking of magnetically actuated capsule (MAC) endoscopy. First, by designing ...

Recent advances in deep generative modeling have enabled high-quality models for musical audio synthesis. However, these approaches remain difficult to control, confined to simple, static attributes ...

If you've been running OpenClaw and watching your API bills climb, you're not alone. The default configuration prioritizes capability over cost, which means you're probably burning through tokens on ...

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