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 ...

More Data Won’t Save Your AI: Why Nuance And Judgement Are Needed For An AI Resilient Enterprise

Nuance and Judgement are Needed for an AI Resilient Enterprise. While multi-modal AI can ingest vast amounts of data, it ...
SiliconANGLE

C3 AI releases 28 domain-specific generative AI models

Vertically focused artificial intelligence developer C3 AI Inc. today launched a set of 28 domain-specific generative AI offerings aimed at the specific needs of a variety of industries, business ...
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 ...