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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.

In-memory computing Hussam Amrouch has developed an AI-ready architecture that is twice as powerful as comparable in-memory computing approaches. As reported in the journal Nature, the professor at the Technical University of Munich (TUM) applies a new computational paradigm using special circuits known as ferroelectric field effect transistors (FeFETs).

2018, the Spectre attack revealed critical security vulnerabilities in numerous systems that could be exploited to harvest sensitive data. The implementation of countermeasures is supposed to protect from such attacks. Modern processors come with a fundamental vulnerability in their hardware architecture that allows attackers to hijack sensitive data.

International team of researchers develops photonic processor with adaptive neural connectivity Modern computer models - for example for complex, potent AI applications - push traditional digital computer processes to their limits. New types of computing architecture, which emulate the working principles of biological neural networks, hold the promise of faster, more energy-efficient data processing.

How can we improve cognitive abilities and feelings of wellbeing in virtual worlds? An international team, led by the Department of Informatics at Universität Hamburg made up of members from the University Medical Center Hamburg-Eppendorf and the Max Planck Institute for Human Development, has found that the presence of plants in virtual office spaces can improve intellectual productivity, memory, and feelings of well-being.

Interview with Prof. Robert Wille on quantum computing software Most of us use software applications on a daily basis, for example when writing emails or surfing the internet. But how will future programs look like when new technologies such as quantum computers arrive on the scene? Prof. Robert Wille and his team are already developing the software of tomorrow today.

A new generation of cloud services is on the rise. It is based on the paradigm of "serverless computing", which is an active research topic at the Institute for Computer Science in Würzburg. In cloud computing, commercial providers make computing resources available on demand to their customers over the Internet.

New physics-based self-learning machines could replace the current artificial neural networks and save energy Artifical intelligence not only affords impressive performance, but also creates significant demand for energy. The more demanding the tasks for which it is trained, the more energy it consumes.

In the form of DNA, nature shows how data can be stored in a space-saving and long-term manner. Würzburg's chair of bioinformatics is developing DNA chips for computer technology. The hereditary molecule DNA can store a great deal of information over long periods of time in a very small space. For a good ten years, scientists have therefore been pursuing the goal of developing DNA chips for computer technology, for example for the long-term archiving of data.

A research team led by a physicist at Freie Universität Berlin has developed a series of quality control tests for quantum computers and published a study in Nature Communications on the topic Quantum technologies - and quantum computers in particular - have the potential to shape the development of technology in the future.

Researchers from the University of Jena, the Westphalian University of Applied Sciences and the University of Chemistry and Technology Prague have developed a platform that uses artificial neural networks to translate chemical structural formulae into machine-readable form. With this platform, they have created a tool with which this information from scientific publications can be automatically fed into databases.

With an innovative approach, Bochum scientists and international colleagues are creating new standards for data security in the cache of electronic devices. Huge streams of data pass through our computers and smartphones every day. In simple terms, technical devices contain two essential units to process this data: A processor, which is a kind of control center, and a RAM, comparable to memory.

Researchers of the Max Planck Institute for Security and Privacy participate in innovative science communication In an era of increasing digitalisation, IT security is becoming an increasingly important issue, not only for large organisations but also for individuals. However, the complex science behind it often makes this abstract topic inaccessible.

Researchers develop new algorithm to effectively investigate long-range interacting systems Researchers at Leipzig University have developed a highly efficient method to investigate systems with long-range interactions that were previously puzzling to experts. These systems can be gases or even solid materials such as magnets whose atoms interact not only with their neighbours but also far beyond.

The impact of structural changes on people can be measured through immersion in virtual models. What should the city we live in look like? How do structural changes affect the people who move around it? Cartographers at Ruhr University Bochum use virtual reality tools to explore these questions before a great deal of money is spent on building measures.

Making history with 42 digits: Scientists at Paderborn University and KU Leuven have unlocked a decades-old mystery of mathematics with the so-called ninth Dedekind number. Experts worldwide have been searching for the value since 1991. The Paderborn scientists arrived at the exact sequence of numbers with the help of the Noctua supercomputer located there.