6 proven lessons from the AI projects that broke before they scaled

In analyzing dozens of AI PoCs that sailed on through to full production use — or didn’t — six common pitfalls emerge.
Business Reporter

The sustainability dilemma for AI-powered IT

As the demand for AI continues to surge, so too does its environmental impact, creating a complex sustainability dilemma ...
IEEE

Multi-Label Image Recognition Algorithm Based on Convolutional Block Attention Module

Abstract: This paper proposes a multi label image recognition algorithm based on CBAM (Convolutional Block Attention Module) to address the issue of partial feature neglect in multi label images. The ...

Sony rolls out a standard way to measure bias in how AI describes what it 'sees'

AI models, one way or another, present bias, which perhaps with work can be minimized. Computer vision models may exhibit ...
Cybernews

Deep learning in medical imaging: the impact of cloud GPU scalability on diagnostics

Learn how cloud GPU services like LiquidWeb can benefit medical imaging, focusing on scalability and diagnostics. Ride the wave of innovation in the medical industry.