Quantum computing is set to redefine data security, AI, and cloud infrastructure. This in-depth research explores how post-quantum cryptography, quantum AI acceleration, and hybrid quantum-cloud ...

Abstract: By combining the offset center of gravity (OCOG) estimation with the front-end automatic gain control (AGC), a closed-loop tracking OCOG-AGC algorithm is proposed to address the problem of ...

The UC Berkeley crew has now shown the value of AI-based optimization work by having OpenEvolve work out a more efficient approach to load balancing across GPUs handling LLM inference.

Interestingly, ChatGPT showed adaptability in correcting errors. In earlier iterations, the model occasionally left nodes ...

I propose adding an implementation for the K-Medoids clustering algorithm to this repository. K-Medoids is a classic clustering technique, similar to K-Means, but uses actual data points (medoids) as ...

Abstract: In order to solve the control problem of origami continuum robot (OCR), the OCR kinematics model is established based on piecewise constant curvature model (PCC), and a closed-loop control ...

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