news 2022

Study shows that disorder in quantum computer chips needs to be designed to perfection / Publication in 'Nature Communications' Research conducted within the Cluster of Excellence 'Matter and Light for Quantum Computing' (ML4Q) has analysed cutting-edge device structures of quantum computers to demonstrate that some of them are indeed operating dangerously close to a threshold of chaotic meltdown.

New research from Monash University uses food to help demonstrate the basic building blocks of computer science while creating new frontiers in dining experiences. The past decade has seen great strides in innovative food experiences like 3D-printed food, ingestible sensors, combining robots with food service and eating with augmented reality.

A new approach to solving the Travelling Salesperson Problem - one of the most difficult questions in computer science - significantly outperforms current approaches. We're highly reliant on this kind of infrastructure to be more efficient - and our solution could help with that Amanda Prorok A notorious theoretical question that has puzzled researchers for 90 years, the Travelling Salesperson Problem also has real relevance to industry today.

Countless chemical substances, including fertilisers and pesticides but also pharmaceutical substances and industrial products, leak into groundwater, lakes and rivers. "We want to know what the impact of these chemicals is on aquatic species, and whether they are toxic or not," says Marco Baity-Jesi, Head of the Eawag Data Science Group.

Microplastics are all around us - in the water we drink, the food we eat and the air we breathe. But before researchers can understand the real impact of these particles on health, they need faster and more effective ways to quantify what is there. Two recent studies by researchers at the University of Toronto's Faculty of Applied Science & Engineering have proposed new methods that use machine learning to make the process of counting and classifying microplastics easier, faster and more affordable.

Method could enable autonomous drones to monitor safety of bridges Rust never sleeps, and cracking concrete doesn't get a day off either. The Jan. 28 collapse of Pittsburgh's Fern Hollow Bridge was a dramatic reminder of that fact. The exact cause of the collapse won't be known until the National Transportation Safety Board completes a months-long study, but Carnegie Mellon researchers have developed autonomous drone technology that someday might prevent similar catastrophes and lesser mishaps caused by deterioration.

EyeMU enables users to interact with their screens without lifting a finger As more people watch movies, edit video, read the news and keep up with social media on their smartphones, these devices have grown to accommodate the bigger screens and higher processing power needed for more demanding activities.

Volcanic eruptions in Siberia caused massive climate change 252 million years ago. Approximately 75 percent of all land organisms and 90 percent of all ocean organisms perished. The paleontologist Dr. William Foster at the Center for Earth System Research and Sustainability (CEN) has now decoded the causes of this mass extinction in the oceans.

UdeM physicist William Witczak-Krempa studies unusual states of matter in the quantum realm. William Witczak-Krempa, a professor in UdeM's Department of Physics since 2016, is a quantum physicist who studies highly entangled quantum states of matter. Quantum entanglement enables the encoding and sharing of information at great distances, a property that is harnessed in quantum computing.

A bioinformatics research team from Friedrich Schiller University Jena has won the 2022 Thuringian Research Prize for applied research, Thuringia's Science Minister Wolfgang Tiefensee announced today (06 April) in a video presentation. The prize of 12,500 euros, awarded for the development of machine learning methods for identifying small molecules, went to the team comprising Prof. Sebastian Böcker, Dr Kai Dührkop, Dr Markus Fleischauer, Dr Marcus Ludwig and Martin Hoffmann.

Imagine designing a robotic glider able to accelerate to 800km per hour using only the wind at its back. Combining passion with work, EPFL Professor Pascal Fua is leading research to develop the required capabilities, with important implications for sustainability. Head of EPFL's Computer Vision Laboratory (CV) in the School of Computer and Communication Sciences and a passionate gliding enthusiast, Pascal Fua always wanted to fly.

A new method of identifying gravitational wave signals using quantum computing could provide a valuable new tool for future astrophysicists. A team from the University of Glasgow's School of Physics & Astronomy have developed a quantum algorithm to drastically cut down the time it takes to match gravitational wave signals against a vast databank of templates.

Robotic wheelchairs may soon be able to move through crowds smoothly and safely. As part of CrowdBot, an project, researchers are exploring the technical, ethical and safety issues related to this kind of technology. The aim of the project is to eventually help the disabled get around more easily. Shoppers at Lausanne's weekly outdoor market may have come across one of EPFL's inventions in the past few weeks - a newfangled device that's part wheelchair, part robot.

New research from computer scientists shows how bacteria can fuel low-power sensors Computer scientists at the University of California San Diego are showing how soil microbes can be harnessed to fuel low-power sensors. This opens new possibilities for microbial fuel cells (MFCs), which can power soil hydration sensors and other devices.

Quantum bits (qubits) are the smallest units of information in a quantum computer. Currently, one of the biggest challenges in developing this kind of powerful computer is scalability. A research group at the University of Basel, working with the IBM Research Laboratory in Rüschlikon, has made a breakthrough in this area.

Quantum memristor as missing link between artificial intelligence and quantum computing In recent years, artificial intelligence has become ubiquitous, with applications such as speech interpretation, image recognition, medical diagnosis, and many more. At the same time, quantum technology has been proven capable of computational power well beyond the reach of even the world's largest supercomputer.

Scientists are using cutting-edge artificial intelligence to help extract complex information from large collections of museum specimens. A team from Cardiff University is using state-of-the-art techniques to automatically segment and capture information from museum specimens and perform important data quality improvement without the need of human input.

Weizmann Institute of Science researchers present Israel's first quantum computer Building a working quantum computer is such a daunting venture that many believe it's only for tech giants and superpowers, something on a scale beyond Israel's reach. Prof. Roee Ozeri of the Weizmann Institute of Science begs to differ: "One of the world's first computers, WEIZAC, was built here in the 1950s, when all Israel had was swamps and camels.

Researchers from the FMI Facility for Advanced Imaging and Microscopy (FAIM) are drivers of a large-scale international initiative dedicated to improving quality assessment and quality control in light microscopy. Recently, the workgroup chaired by the Head of FAIM delivered the first protocol for this initiative.

New supramolecular materials can be used in energy production and medical devices. The team of the TUM Innovation Network ARTEMIS aims to identify the best supramolecular materials for use with the help of machine learning. A team of scientists at the TUM Innovation Network ARTEMIS (Artificial Intelligence Powered Multifunctional Material Design), named after the Greek goddess of hunting, are researching supramolecular materials.