.1TechnologyMay 1, 2025 Ada Tech Deep Dive: Topic Modelling With The Analyze ToolIris.ai’s Analyze tool—part of the RSpace™ suite—uses advanced topic modeling to reshape how researchers engage with scientific literature. It automates concept extraction, enables precise filtering, and accelerates literature reviews across millions of documents.
.2TechnologyDecember 14, 2023 Ada Tech Deep Dive: Getting answers with references with the Chat toolIn this one, we will take a closer look at the technology behind our newest tool – the Chat. We will see how the tool generates answers, how we are dealing with hallucinations and what is the uniqueness of this solution.
.3TechnologySeptember 1, 2023 Ada Tech Deep Dive: Domain Adaptation – Enhancing Iris.ai AI Model for Specialized KnowledgeIn the ever-expanding world of scientific research, having access to accurate and relevant information is crucial. In this blog post, we’ll delve into the concept of domain adaptation, its pros and cons, and explore how we implement it in our tools.
.4TechnologyJune 23, 2023 Ada Tech Deep Dive: Building knowledge graphsIn this article, we will explain what knowledge graphs are, discuss their pros and cons, and delve into how Iris.ai uses them. A knowledge graph is a structured representation of information that captures relationships between entities in a way that is easily accessible and understandable for both humans and machines.
.5TechnologyApril 6, 2023 Ada Tech Deep Dive: Extractive vs. abstractive summaries and how machines write themIn today’s article we will continue on our Tech Deep Dive series. This time we will be talking about automatic summarization. We will compare extractive vs. abstractive summarization, what are the challenges and of course we will explain how our abstractive summarization model works.