Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.

A next-gen Lagrange-Newton solver for nonconvex optimization. It unifies barrier and SQP methods in a modern and generic way, and implements different globalization flavors (line search/trust region ...

Abstract: This work investigates the performance of intelligent reflective surfaces (IRSs) assisted uplink nonorthogonal multiple access (NOMA) in energy-constrained networks. Specifically, we ...

Abstract: This paper proposes a distributed stochastic projection-free algorithm for large-scale constrained finite-sum optimization whose constraint set is complicated such that the projection onto ...

This study presents a quantum approach to the RSA problem in elastic optical networks, utilizing QAOA for efficient spectrum allocation and reduced delay.

The key is not just improving quantum hardware or algorithms but optimizing the entire stack—from hardware and software to ...

By reducing computational requirements and maintaining performance, LoRa opens new possibilities for deploying AI systems in real-world environments ...

A novel method of electrical stimulation to precisely control neural activity for sensory restoration exhibits improvements in visual stimulus reconstruction, enables efficient hardware design, and ...

MCU development kit enables rapid prototyping of customer products that require ultra-low power BLE connectivity.

Swift Navigation Collaborates with Sony Semiconductor Solutions to Enable Precise Location in Small Battery Powered Devices ...

MeridianLink Inc (MLNK) reports a 5% revenue increase and strategic leadership changes amidst ongoing market challenges.

This shift towards miniaturization and efficiency recalls an idea put forth over 60 years ago by physicist Richard Feynman in ...