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 ...

The human brain is known to naturally change with age, shrinking in size and volume after people reach their 30s or 40s. In ...

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

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 ...

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 ...

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

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

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.

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

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