A Gentle Introduction to SHAP for Tree-Based Models

A Gentle Introduction to SHAP for Tree-Based ModelsImage by Author Introduction Machine learning models have become…

Horses ‘mane’ inspiration for new generation of social robots

Interactive robots should not just be passive companions, but active partners-like therapy horses who respond to…

Designing Pareto-optimal GenAI workflows with syftr

You’re not short on tools. Or models. Or frameworks. What you’re short on is a principled…

Understanding U-Net Architecture in Deep Learning

In the world of deep learning, especially within the realm of medical imaging and computer vision,…

Fueling seamless AI at scale

Silicon’s mid-life crisis AI has evolved from classical ML to deep learning to generative AI. The…

Danielle Belgrave on Generative AI in Pharma and Medicine – O’Reilly

Join Danielle Belgrave and Ben Lorica for a discussion of AI in healthcare. Danielle is VP…

Benchmarking LLMs for global health

Large language models (LLMs) have shown potential for medical and health question-answering across various health-related tests…

AI in process manufacturing: From operational gains to strategic advantage

80% of manufacturers are exploring AI.1 Here’s how leaders are moving from pilots to measurable impact.…

Rationale engineering generates a compact new tool for gene therapy | MIT News

Scientists at the McGovern Institute for Brain Research at MIT and the Broad Institute of MIT…

Tokenizers in Language Models – MachineLearningMastery.com

Tokenization is a crucial preprocessing step in natural language processing (NLP) that converts raw text into…