When it comes to scientific facts, AI giants often stumble and falter. But why does this happen? In this blog post, we’ll delve into the complexities of hallucinations and factuality issues, their implications, and potential solutions.
In 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.
As AI continues to shape the future of research, it is essential to address the ethical considerations that arise from its application. At Iris.ai ethical considerations are at the core of our approach. In this blog post, we will explore the safeguards implemented by Iris.ai to ensure responsible and unbiased AI-driven research outcomes.
Recently, the team at Iris.ai had the privilege of experiencing this firsthand during our company get-together in the mountain city – Velingrad, Bulgaria. This blog post aims to capture the essence of our experience and shed light on the importance of face-to-face interactions in a mostly remote working environment.
In 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.