Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...

Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) (WiMi or the Company), a leading global Hologram Augmented Reality (AR) Technology ...

Chronic wounds remain a major health care challenge, especially for people with diabetes, who often experience delayed ...

Researchers developed a new model to predict the likelihood of critical illness in patients with connective-tissue disease-associated ILD.

It feels like there’s no escaping AI right now, whether you’re trying to type a sentence without being interrupted by a digital “assistant” or struggling to find a new refrigerator that doesn’t ...

The emerging convergence of AI-first design principles and environmental consciousness is reshaping how we think about ...

Chronic wounds remain a major healthcare challenge, especially for people with diabetes, who often experience delayed healing ...

LLM training data mixture optimization breaks when training pools shift — every prior proxy experiment becomes stale.

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

Researchers have developed an AI-guided, shape-changing microneedle patch that speeds wound healing while reducing infection ...

The microneedle system is inspired by the carnivorous plant Drosera capensis, known for capturing prey through coordinated ...