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 ...
IEEE

AI Deep Learning Optimization for Compact Dual-Polarized High-Isolation Antenna Using Backpropagation Algorithm

Abstract: An artificial intelligence deep learning algorithm is proposed to analyze a dual-polarized high-isolation antenna effectively. The method is a building model of multi-input target ...
Frontiers

Next-gen neuro-AI: Aligning foundation models and biologically plausible architectures with human cognition

Cognitive computational neuroscience has entered a transformative era. The rapid rise of large multimodal foundation models, state-space architectures, and ...
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 ...

In 1989, Yann LeCun helped show that neural networks could read handwritten ZIP codes, laying groundwork for systems that later read bank checks

In 1989, a computer scientist tackled the messy challenge of reading handwritten zip codes for the US Post Office. This ...
Microsoft

How does generative AI work?

Get an overview of generative AI, how it works, and how it’s poised to shape the future. Generative AI refers to a class of AI models, such as the GPT series or Llama, that analyzes large amounts of ...
Tech Xplore on MSN

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 ...

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 ...
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~: ...
Frontiers

Artificial Intelligence Applications in Reduction of Carbon Emissions: Step Towards Sustainable Environment

Carbon emissions are the main cause of climate change. The increase in atmospheric carbon dioxide concentration has broken the balance between the original layers of the earth, resulting in the ...
GitHub

Deep Learning Framework from Scratch

A lightweight deep learning framework built entirely with NumPy. This project implements the core components of modern neural networks including forward propagation, backpropagation, optimizers, ...
theregister

Thomas Claburn - theregister

Some crawlers gather data for both search and AI training, so when publishers block them to protect content they risk disappearning from search results ...