KIT researchers use deep learning for non-invasive localization of ventricular extrasystoles. Worldwide, cardiovascular diseases cause more than 17 million deaths per year. Of these, about 25 percent are deemed sudden cardiac deaths. They may be caused by ventricular tachycardias, i.e. quick cardiac dysrhythmias from the ventricles that are frequently caused by ventricular extrasystoles. These additional heartbeats from the heart chambers feel like skipped heartbeats. Normal heartbeat is controlled by the sino-atrial node in the left atrium. Extrasystoles, by contrast, are…
Göttingen research team explores information processing in Deep Neural Networks. Artificial neural networks are everywhere in research and technology, as well as in everyday technologies such as speech recognition. Despite this, it is still unclear to researchers what is exactly going on deep down in these networks. To find out, researchers at the Göttingen Campus Institute for Dynamics of Biological Networks (CIDBN) at Göttingen University, and the Max Planck Institute for Dynamics and Self-Organisation (MPI-DS) have carried out an information-theoretic…
Researchers devise an approach to vastly enhance the near-infrared absorption in silicon, which could lead to affordable, high-performance photonic devices. Photonic systems are quickly gaining traction in many emerging applications, including optical communications, lidar sensing, and medical imaging. However, the widespread adoption of photonics in future engineering solutions hinges on the cost of manufacturing photodetectors, which, in turn, largely depends on the kind of semiconductor utilized for the purpose. Traditionally, silicon (Si) has been the most prevalent semiconductor in the…
Even for scuba and snorkeling enthusiasts, the plunge into open water can be dislocating. Divers frequently swim with limited visibility, which can become a safety hazard for teams trying to find each other in an emergency. Yet even though many dive with smartwatches designed to go to depths of over 100 feet, accurately locating mobile devices underwater has confounded researchers. Now, a team at the University of Washington has developed the first underwater 3D-positioning app for smart devices. When at…
Inspired by the effortless way humans handle objects without seeing them, a team led by engineers at the University of California San Diego has developed a new approach that enables a robotic hand to rotate objects solely through touch, without relying on vision. Using their technique, the researchers built a robotic hand that can smoothly rotate a wide array of objects, from small toys, cans, and even fruits and vegetables, without bruising or squishing them. The robotic hand accomplished these…
… as versatile as a Swiss Army knife, very helpful in times of skilled labor shortage. Utilization-optimized, flexibly arranged production modules equipped via driverless transport systems which can manufacture a variety of products; a production planning and control system that can flexibly allocate these modules and, through segmentation and intelligent distribution of manufacturing tasks, make it possible to produce large-size components in small facilities: Matrix production and SWAP-IT create a production infrastructure that enables highly efficient manufacturing of even smaller…
…that allows high-density data storage. Scientists have developed a new urea-based metal-free system that can improve data storage in devices. In today’s world of digital information, an enormous amount of data is exchanged and stored on a daily basis. In the 1980s, IBM unveiled the first hard drive—which was the size of a refrigerator—that could store 1 GB of data, but now we have memory devices that have a thousand-fold greater data-storage capacity and can easily fit in the palm…
HZDR team advances to next step toward neuromorphic computing. Neuromorphic computers do not calculate using zeros and ones. They instead use physical phenomena to detect patterns in large data streams at blazing fast speed and in an extremely energy-efficient manner. In their project NIMFEIA, Katrin and Helmut Schultheiß along with their team from the Helmholtz-Zentrum Dresden-Rossendorf (HZDR) have now taken this technology a tremendous step forward. They also demonstrated that their approach can be seamlessly integrated into conventional chip manufacturing….
Robot powered by artificial intelligence will swim the world’s seas to detect activities that harm the ocean environment. Scientists have started work on a new underwater artificial intelligence bot which can detect activities that harm the ocean environment. The technology, being developed by the University of Southampton with ocean science experts RS Aqua, will be used to spot illegal fishing and protect marine mammals during offshore wind farm construction. More than £700,000 was awarded by Innovate UK for the AI…
Carnegie Mellon University researchers design systems allowing robots to explore on their own. A research group in Carnegie Mellon University’s Robotics Institute is creating the next generation of explorers — robots. The Autonomous Exploration Research Team has developed a suite of robotic systems and planners enabling robots to explore more quickly, probe the darkest corners of unknown environments, and create more accurate and detailed maps. The systems allow robots to do all this autonomously, finding their way and creating a map without human intervention….
From energy research to metalworking: Everywhere, the laser offers opportunities to do more for a sustainable future. Today, lasers are already being used to weld battery cells for electromobility particularly efficiently. The laser can be used to measure pollutants in the atmosphere, and it is being used to build the quantum internet. The Fraunhofer Institute for Laser Technology ILT presented these and other innovations at this year’s LASER World of PHOTONICS and World of QUANTUM in Munich. The LASER trade…
HZDR team takes a closer look at special kind of quasiparticle. Skyrmions are microscopic magnetic vortices that can form in certain materials. First detected in 2009, they are of interest to research because they could be harnessed for new forms of data storage. As theoreticians had predicted, there are also so called antiskyrmions, which were eventually discovered ten years after skyrmions. Researchers from HZDR, MPI CPfS, IFW Dresden, and the University of South Florida used an ion beam saw and…
Automated production for different objects. New approach makes it possible to equip objects of arbitrary shapes with smart sensors. Innovative soft sensors are intended for use in robotics and especially in prosthetics. Researchers see major advantages in the seamless and customizable sensor technology versus existing approaches. Researchers from the Munich Institute of Robotics and Machine Intelligence (MIRMI) at the Technical University of Munich (TUM) have developed an automatic process for making soft sensors. These universal measurement cells can be attached…
Global LiFi technology firms Fraunhofer HHI and pureLiFi welcome the release of IEEE 802.11bb as the latest global light communications standard alongside IEEE 802.11 Wi-Fi standards. The bb standard marks a significant milestone for the LiFi market, as it provides a globally recognised framework for deployment of LiFi technology. LiFi is a wireless technology that uses light rather than radio frequencies to transmit data. By harnessing the light spectrum, LiFi can unleash faster, more reliable wireless communications with unparalleled security…
A simple yet effective design, coupled with remarkable durability and low cost, make this robotic gripper a promising option for many industries. Although grasping objects is a relatively straightforward task for us humans, there is a lot of mechanics involved in this simple task. Picking up an object requires fine control of the fingers, of their positioning, and of the pressure each finger applies, which in turn necessitates intricate sensing capabilities. It’s no wonder that robotic grasping and manipulation is…
A new theoretical study provides a framework for understanding nonlocality, a feature that quantum networks must possess to perform operations inaccessible to standard communications technology. By clarifying the concept, researchers determined the conditions necessary to create systems with strong, quantum correlations. The study, published in Physical Review Letters, adapts techniques from quantum computing theory to create a new classification scheme for quantum nonlocality. This not only allowed the researchers to unify prior studies of the concept into a common framework,…
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