Quantum error correction can constantly recalibrate a processor

There are some obvious big picture issues that stand between us and useful quantum computing. Issues like whether we can make ...
Tech Xplore

New federated learning algorithm enables private, robust, and fast AI development

Three heads are better than one. Versions of this proverb are found worldwide and throughout history. Yet in the race to ...
The Manila Times

WiMi Explores the Application of Neural Networks in Parameter Optimization for Dual-Field Quantum Key Distribution

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ('WiMi' or the 'Company'), a leading global Hologram Augmented Reality ('AR') Technology provider, announced that they are researching the use of neural ...
GitHub

Xiaohan-Chen/transfer-learning-fault-diagnosis-pytorch

For further introductions to transfer learning in bearing fault diagnosis, please read our paper. And if you find this repository useful and use it in your works, please cite our paper, thank you~: ...
IEEE

Toward on-chip acceleration of the backpropagation algorithm using nonvolatile memory

Abstract: By performing computation at the location of data, non-Von Neumann (VN) computing should provide power and speed benefits over conventional (e.g., VN-based) approaches to data-centric ...
GitHub

DDPG: Deep Deterministic Policy Gradients

The algorithm consists of two networks, an Actor and a Critic network, which approximate the policy and value functions of a reinforcement learning problem. The name DDPG, or Deep Deterministic Policy ...
IEEE

Prediction and Feedback Assisted Evolutionary Algorithms for Scheduling Urban Traffic Signals

Abstract: With the acceleration of urbanization, the traffic congestion issue is becoming more and more prominent in large cities. The effective scheduling of urban traffic signals becomes critical.