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The 6-year, €70 million project called BIGPICTURE, will herald a new era in pathology and take AI development in pathology to the next level: we will develop the world’s biggest repository for sharing of pathology data.

Mathematics for Machine Learning (MML) is an interdisciplinary group, developing state-of-the-art methods for parameter identification in neural differential equations with applications in science-informed neural networks and inverse problems.

The “chemical space” can now be mapped on a greater scale thanks to a new AI model developed by a group of researchers at LiU and the University of Cambridge in England. The discovery has been published in the journal Science Advances.

In the near future, it is probable that autonomous drones and quadruped robots will perform rescue operations. But we are currently far from achieving full autonomy. Consequently, well-functioning collaboration between human and machine is crucial.

Today, cadaver dogs are used to find human remains, for instance after a murder or a natural disaster. But as this practice faces both legal and ethical problems, researchers at LiU are developing an electronic nose as a complement the search dogs.

Automated systems collaborating with humans will be better if they get to know the user through artificial intelligence compared with traditional systems that the user has to learn. This is shown in a recent study involving air traffic controllers.

The black market in rhinoceros horn is worth billions of dollars, and poaching is driving the species towards extinction. However, the drive against poaching is now to be given new impetus with the aid of the most recent technology.

Artificial intelligence is on many people’s lips thanks to Chat GPT. But is the new technology a threat or an opportunity? Or is it both? AI researcher Fredrik Heintz sees great opportunities but also challenges.