Nature

Accelerating domain-aware electron microscopy analysis using deep learning models with synthetic data and image-wide confidence scoring

The integration of machine learning (ML) models enhances the efficiency, affordability, and reliability of feature detection in microscopy, yet their development and applicability are hindered by the ...
Nature

Multi-domain improves classification in out-of-distribution and data-limited scenarios for medical image analysis

Current machine learning methods for medical image analysis primarily focus on developing models tailored for their specific tasks, utilizing data within their target domain. These specialized models ...
Hosted on MSN

Domain-specific AI models are the future of enterprise ROI

Over the past two years, enterprises rushed to implement artificial intelligence (AI) across their operations. The initial excitement has given way to a harder reality: Most organizations aren’t ...
Forbes

The Power Of Domain-Specific LLMs In Generative AI For Enterprises

The field of generative AI has witnessed remarkable advancements in recent months, with models like GPT-4 pushing the boundaries of what is possible. However, as we look toward the future, it is ...