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Many areas in North Rhine-Westphalia are paved over by impervious surfaces such as roads, housing estates and industrial sites. While this is obvious from aerial photographs, it is difficult to analyze. In accordance with the German Sustainability Strategy, new impervious surfaces are to be limited to less than 30 hectares per day nationwide.

Information in the brain is transmitted via electrical signals between specialized cells called neurons. The activity within a large network of such neurons controls sensations, behavior, and cognition. Scientists have long sought ways to simulate the neural networks in the brain with computers in order to understand how it works.

The brain is constantly storing new experiences that it has to integrate into the jumble of existing memories. Surprisingly, it does not overwrite previous memory traces in the process. The first day of school: entering the classroom for the first time, the excited feeling in your stomach and the joy of having a school bag - these are all typical examples of memories from our episodic memory.

Artificial intelligence can detect lies much better than humans. This also has an impact on social interaction, as a recently published study shows. Humans are bad at recognizing lies. As studies consistently demonstrate, their judgments are barely better than chance. This inability could be one of the reasons why most people refrain from accusing others of dishonesty.

The Freiburg project 'I4C - Intelligence for Cities' has developed locally precise climate models and foundations for planning tools Urban spaces are particularly susceptible to the effects of climate change, such as heat waves, floods, and storms. But which areas of a city are affected, and how can city planners respond? 'I4C - Intelligence for Cities' is an interdisciplinary project conducted by the University of Freiburg and several Fraunhofer Institutes.

Tool developed at the University of Bonn should enable yield forecasts, among other things, in the future Researchers at the University of Bonn have developed software that can simulate the growth of field crops. To do this, they fed thousands of photos from field experiments into a learning algorithm.

Team at the University of Münster develops an improved method for explaining machine predictions of chemical reactions Artificial intelligence and machine learning are becoming more and more relevant in everyday life - and the same goes for chemistry. Organic chemists, for example, are interested in how machine learning can help discover and synthesise new molecules that are effective against diseases or are useful in other ways.

Artificial intelligence may soon help to identify lies and deception. However, a research team from the Universities of Marburg and Würzburg warns against premature use. Oh, if only it were as easy as with Pinocchio. Here it was simple to see when he was telling a lie: after all, his nose grew a little longer each time.

As climate change threatens coffee farming, experts at Nestlé, the world's largest food company, are exploring how advanced data science and artificial intelligence can help select and breed more climate-resilient crops. Together with researchers from scientific institutions in Brazil, France, the US and elsewhere, they have published their latest findings in the journal Nature Genetics.

New study from team of quantum physicists at Freie Universität Berlin challenges traditional understanding of quantum machine learning Machine learning is a branch of artificial intelligence (AI) and computer science that focuses on the use of data and algorithms to allow computers to learn without explicitly being programmed.

Researchers from Carnegie Mellon University, the University Hospital Bonn and the University of Bonn have created an open-source platform known as A-SOiD that can learn and predict user-defined behaviors, just from video. The results of the study have now been published in the journal "Nature Methods".

Artificial intelligence using neural networks performs calculations digitally with the help of microelectronic chips. Physicists at Leipzig University have now created a type of neural network that works not with electricity but with so-called active colloidal particles. In their publication in the prestigious journal "Nature Communications", the researchers describe how these microparticles can be used as a physical system for artificial intelligence and the prediction of time series.

Researchers at the University of Würzburg have developed a virtual reality (VR) application for training astronauts. It allows the training of various mission scenarios under water. Nowhere can the zero gravity of space be simulated as well as in water - training in large indoor swimming pools is therefore part of the daily routine for astronauts in training.

IT specialists and physicians develop new method for recognising genetic aberrations Decisions on treatment for patients with acute myeloid leukemia (AML) - a highly aggressive form of leukemia - are based, among other things, on a series of certain genetic features of the disease; but at the time when a diagnosis is made, this information is not available.

Eyewitness statements are one of the key sources for identifying perpetrators - and one of the most error-prone. For example, the Innocence Project - an organisation that works to clear up miscarriages of justice in the US - states that incorrect eyewitness statements played a role in 64 per cent of the cases in which it was able to secure the release of people who had been wrongly convicted.

Discovery of giant exomoons around the planets Kepler-1625b and Kepler-1708b called into question Just as it can be assumed that the stars in our Milky Way are orbited by planets, moons around these exoplanets should not be uncommon. This makes it all the more difficult to detect them. So far, only two of the more than 5300 known exoplanets have been found to have moons.

Current hand prostheses already work with the help of an app or sensors attached to the forearm. New research at the Technical University of Munich (TUM) shows this: A better understanding of muscle activity patterns enables more intuitive and natural control of the prostheses. This requires a network of 128 sensors and the use of artificial intelligence .

Researchers at the University of Bonn take a look behind the scenes of machine learning in drug research Artificial intelligence (AI) is on the rise. Until now, AI applications generally have "black box" character: How AI arrives at its results remains hidden. Jürgen Bajorath, a cheminformatics scientist at the University of Bonn, and his team have developed a method that reveals how certain AI applications work in pharmaceutical research.

A new algorithm measures materials libraries up to four times faster than before. It's based on machine learning. Researchers are working tirelessly to find new materials for future technologies that are essential for the energy transition - as electrocatalysts, for example. Due to their versatile properties, materials consisting of five or more elements are of great interest for this purpose.

A new algorithm mines material libraries up to four times faster than before. It is based on machine learning . Researchers are working flat out to find new materials for future technologies on which the energy transition depends, for example as electrocatalysts. Due to their versatile properties, materials consisting of five or more elements are of particular interest.