The collection of robust and reliable medical data is essential for informed decision-making throughout the entire healthcare process and for health and wellbeing applications. Our approach to developing medical sensing...
Tomorrow’s healthcare is increasingly data-driven. Collecting robust and reliable medical data is essential for making informed decisions at every step of the medical care process. Artificial intelligence (AI) plays a...
Robots and artificial intelligences are only as good as we train them to be. So why not train them to adept to us, their human counterparts? That’s the vision of affective computing: Incorporating emotional intelligence...
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...
Digital Pathology is a new data source to transform medicine Medscape – Oct 15, 2014. This was the hook line of a 2014 article in Medscape we stumbled across the other day. Ten years later...
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...
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...