Opinion

When Algorithms Meet Empathy: How HR Should Approach AI

The organizations that succeed will be those that place empathy, transparency and fairness at the core of their AI journey.
IEEE

Deep Networks as Denoising Algorithms: Sample-Efficient Learning of Diffusion Models in High-Dimensional Graphical Models

Abstract: We investigate the efficiency of deep neural networks for approximating scoring functions in diffusion-based generative modeling. While existing approximation theories leverage the ...

Researchers find adding this one simple sentence to prompts makes AI models way more creative

The method, called Verbalized Sampling (VS), helps models like GPT-4, Claude, and Gemini produce more diverse and human-like outputs—without retraining or access to internal parameters. It is ...
Frontiers

The design of multiple orthogonal signals based on auto-encoder optimization network

As an important part of active sonar, transmitted signals have a great influence on the performance of ocean exploration, however, in the actual environment, due to the existence of the Doppler ...

A New Algorithm Makes It Faster to Find the Shortest Paths

A canonical problem in computer science is to find the shortest route to every point in a network. A new approach beats the ...
IEEE

Lightweight and Improved U2 -Net Small Sample Recognition Algorithm for Coating Corrosion Law of Photovoltaic Power Generation Equipment in Salt Fields

Abstract: In order to improve the recognition accuracy of coating corrosion in salt field photovoltaic power generation equipment, a lightweight improved U2 Net small sample recognition algorithm for ...