This app note describes the MIKAIA Plugin API. It can be used by bioinformaticians to plug in their own AI script, e.g., written in Python or any other language, into MIKAIA® and this way put their AI into the hands of...
MIKAIA® is specifically designed for researchers in academia, CROs, biotech, pharma. One of the challenges is that researchers by design do unique things. For this reason, MIKAIA® apps do not represent individual side...
When acquiring data for affective computing, we aim for a multimodal mix of data as it allows for a more comprehensive and accurate understanding of human emotions and behaviors. By collecting multimodal data, such as...
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...
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...
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...