Scientists from the Institute of Industrial Science at The University of Tokyo fabricated three-dimensional vertically formed field-effect transistors to produce high-density data storage devices by ferroelectric gate insulator and atomic-layer-deposited oxide semiconductor channel. Furthermore, by using antiferroelectric instead of ferroelectric, they found that only a tiny net charge was required to erase data, which leads to more efficient write operations. This work may allow for new even smaller and more eco-friendly data-storage memory. While consumer flash drives already boast huge…
New photonic devices may have applications in lidar, optical computing and more. Electro-optic modulators, which control aspects of light in response to electrical signals, are essential for everything from sensing to metrology and telecommunications. Today, most research into these modulators is focused on applications that take place on chips or within fiber optic systems. But what about optical applications outside the wire and off the chip, like distance sensing in vehicles? Current technologies to modulate light in free space are…
As far as data security is concerned, there is an even greater danger than remote cyberattacks: namely tampering with hardware that can be used to read out information – such as credit card data from a card reader. Researchers in Bochum have developed a new method to detect such manipulations. They monitor the systems with radio waves that react to the slightest changes in the ambient conditions. Unlike conventional methods, they can thus protect entire systems, not just individual components…
Quantum computing: Researchers at the Niels Bohr Institute, University of Copenhagen, have improved the coherence time of a previously developed quantum membrane dramatically. The improvement will expand the usability of the membrane for a variety of different purposes. With a coherence time of one hundred milliseconds, the membrane can for example store sensitive quantum information for further processing in a quantum computer or network. The result has now been published in Nature Portfolio. The quantum drum is now connected to…
By 2045, all electricity in Germany should come from renewable sources. The problem is that wind and solar power do not provide a regular electricity supply, but rather fluctuate. As part of the Kopernikus project SynErgie, the Fraunhofer Institute for Manufacturing Engineering and Automation IPA is working with partners to develop an energy synchronization platform which will allow industry to offset these fluctuations and synchronize production with power generation. The Fraunhofer IPA researchers are also currently developing the first electricity-saving…
Even though consumers won’t see it for years, researchers around the world are already laying the foundation for the next generation of wireless communications, 6G. An international team led by researchers at The University of Texas at Austin has developed components that will allow future devices to achieve increased speeds necessary for such a technological jump. In a new paper published in Nature Electronics, the researchers demonstrated new radio frequency switches that are responsible for keeping devices connected by jumping between…
Today, public cloud systems can be used for outsourcing computationally intensive applications and storing large amounts of data. However, these systems are not designed for millisecond-accurate control of machines in production environments. They are not freely configurable and are difficult to connect to real-time-capable networks. In contrast, companies can use local cloud systems to monitor their machines and plants and exchange sensor information. The hardware and software architecture of the Fraunhofer Edge Cloud will be showcased using various example applications…
Machine learning is playing an ever-increasing role in biomedical research. Scientists at the Technical University of Munich (TUM) have now developed a new method of using molecular data to extract subtypes of illnesses. In the future, this method can help to support the study of larger patient groups. Nowadays doctors define and diagnose most diseases on the basis of symptoms. However, that does not necessarily mean that the illnesses of patients with similar symptoms will have identical causes or demonstrate…
For quantum computers to be useful in practice, errors must be detected and corrected. At the University of Innsbruck, Austria, a team of experimental physicists has now implemented a universal set of computational operations on fault-tolerant quantum bits for the first time, demonstrating how an algorithm can be programmed on a quantum computer so that errors do not spoil the result. In modern computers errors during processing and storage of information have become a rarity due to high-quality fabrication. However,…
… using a polarization-encoded diffractive network. Implementing large-scale linear transformations or matrix computations plays a pivotal role in modern information processing systems. Digital computer systems need to complete up to billions of matrix operations per second to perform complex computational tasks, such as training and inference for deep neural networks. As a result, the throughput of linear transform computations can directly influence the performance and capacity of the underlying computing systems. These linear transformations are computed using digital processors in…
Researchers in Delft have succeeded in teleporting quantum information across a rudimentary network. Researchers in Delft have succeeded in teleporting quantum information across a rudimentary network. This first of its kind is an important step towards a future quantum Internet. This breakthrough was made possible by a greatly improved quantum memory and enhanced quality of the quantum links between the three nodes of the network. The researchers, working at QuTech—a collaboration between Delft University of Technology and the Netherlands Organisation…
With modular components and an easy-to-use 3D interface, this interactive design pipeline enables anyone to create their own customized robotic hand. MIT researchers have created an interactive design pipeline that streamlines and simplifies the process of crafting a customized robotic hand with tactile sensors. Typically, a robotics expert may spend months manually designing a custom manipulator, largely through trial-and-error. Each iteration could require new parts that must be designed and tested from scratch. By contrast, this new pipeline doesn’t require…
Smaller than a flea, robot can walk, bend, twist, turn and jump. Northwestern University engineers have developed the smallest-ever remote-controlled walking robot — and it comes in the form of a tiny, adorable peekytoe crab. Just a half-millimeter wide, the tiny crabs can bend, twist, crawl, walk, turn and even jump. The researchers also developed millimeter-sized robots resembling inchworms, crickets and beetles. Although the research is exploratory at this point, the researchers believe their technology might bring the field closer…
Smart devices are supposed to make our everyday lives easier. At the same time, however, they are a gateway for passive eavesdropping. To prevent possible surveillance of the movement profile within one’s home, researchers from the Max Planck Institute for Security and Privacy, the Horst Görtz Institute for IT Security at Ruhr-Universität Bochum and the Cologne University of Applied Sciences have developed a novel system for protecting privacy in wireless communication. The method, based on the technology of intelligent reflective…
For the first time TU Graz’s Institute of Theoretical Computer Science and Intel Labs demonstrated experimentally that a large neural network can process sequences such as sentences while consuming four to sixteen times less energy while running on neuromorphic hardware than non-neuromorphic hardware. The new research based on Intel Labs’ Loihi neuromorphic research chip that draws on insights from neuroscience to create chips that function similar to those in the biological brain. The research was funded by The Human Brain…
Machine learning, meaning the ability to recognize important patterns in data sets and to generate solutions with the help of algorithms, is a research field of rapidly growing importance. In physics, chemistry and biology with complex molecular structures, classical machine learning is reaching its limits. In order to better understand and use molecular data, new models must be developed. This is what the DFG’s Priority Program “Use and Development of Machine Learning for Molecular Applications – Molecular Machine Learning” aims…
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