Not only does the future of mobility look autonomous: the present already is. Features like adaptive cruise control and lane centering support drivers and reduce required interactions with the vehicle, thereby...
2022 and 2023 have been breakthrough years for AI in digital pathology. Many new startups, backed by lots of venture capital, as well as established vendors have released AIs cleared for clinical routine. As of today...
AI is on the rise in pretty much every scientific field (at least it feels that way). We talked to Nathalie Falk, one of the voices behind the MIKAIA University application notes, molecular biologist with a PhD in...
Affective computing, also known as Emotion AI, is an area of artificial intelligence that focuses on developing systems and technologies capable of recognizing, interpreting, and responding to human emotions (read more...
Facial expressions often convey more than words. They are a manifestation of our emotions, both conscious and unconscious, and can either complement or contradict what we are saying verbally. In situations where...
Digital pathology and artificial intelligence (AI) go hand in hand to revolutionize medical diagnostics. However, pathology AI models must be able to cope with a very large variety of histological images if they are to...
When the human brain is processing information, it takes millions of neurons and an intricate cognitive network to decode whatever it is that we are simultaneously hearing, seeing, feeling. In every day social...
MIKAIA University Application Note: Interactively training an AI with the AI Authoring App — programming-free and from just a few example annotations By design, researchers often have unique questions that they...
You want to develop your own digital pathology AI? The following MIKAIA University application note explains how to create an AI training dataset using the MIKAIA Tile Export App. The first step is to create a dataset...