Hype, Data And LLMs: Three AI Myths That Need Clarity In 2026

As we head into 2026, continuous education around the nuances and misconceptions of AI will support process industries—and ...
Ministry of Testing

Back to the basics: Rethinking how we use AI in testing

A simple rule of thumb: In general, AI is best reserved for well-defined, repetitive tasks. This includes anything that ...
Uber

Chatbot vs. AI agent: What’s the difference and how to make the right choice

Nearly every SaaS product is either integrating AI or planning to do so. However, the term “AI” has become so broad that it’s often misunderstood, especially by non-technical founders. Words like ...
Automation World

A Practical Guide to Using AI for Data-Driven Plant Floor Transformation

Quick diagnostic sprints deliver measurable results in weeks, not years, helping manufacturers prove AI value before ...
eLife

Separating selection from mutation in antibody language models

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...