news 2022

A large-scale analysis of Madagascar's unique biodiversity has just been conducted with the participation of over 50 international organizations. Madagascar is one of the world's biodiversity hotspots, with 82% of its plant species and 90% of its vertebrates found nowhere else on Earth. The results of the study, which rely on AI-based tools developed by Daniele Silvestro of the Swiss Institute of Bioinformatics and his team at the University of Fribourg, were published in two papers in the journal Science.

Researchers from EPFL and ETH Zurich, working together with the International Committee of the Red Cross (ICRC) and Bin Khalifa Unversity (Qatar), have developed a program that can generate population density estimates with unparalleled precision, and only needs a rough estimate at the regional level to learn.

A team of scientists at EPFL have built a new neural network system that can help understand how animals adapt their movement to changes in their own body and to create more powerful artificial intelligence systems. Deep learning has been fueled by artificial neural networks, which stack simple computational elements on top of each other, to create powerful learning systems.

Borrowing from methods used to produce optical fibers, researchers from EPFL and Imperial College have created fiber-based soft robots with advanced motion control that integrate other functionalities, such as electric and optical sensing and targeted delivery of fluids. Over the past decades, catheter-based surgery has transformed medicine, giving doctors a minimally invasive way to do anything from placing stents and targeting tumors to extracting tissue samples and delivering contrast agents for medical imaging.

Chemical engineers at EPFL have developed a machine-learning model that can accurately predict the heat capacity of the versatile metal-organic framework materials. The work shows that the overall energy costs of carbon-capture processes could be much lower than expected. Metal-organic frameworks (MOFs) are a class of materials that contain nano-sized pores.

With energy prices soaring, heating costs will also inevitably rise in the coming winter. In order to mitigate this, solutions for operating buildings more efficiently are needed. The Empa spin-off viboo has developed an algorithm that makes it possible to operate even older buildings with around 25 percent less energy - while user comfort remains the same or even improves.

An innovative new collaboration between EPFL's HexHive Laboratory and Oracle has developed automated, far-reaching technology in the ongoing battle between IT security managers and attackers, hoping to find bugs before the hackers do. On the 9th of December 2021 the world of IT security went into a state of shock.

Researchers have discovered a serious security vulnerability in computer hardware. The vulnerability, called "Retbleed," affects microprocessors from market leaders Intel and AMD. All commercially available operating systems worldwide that use these processors are affected. When computers execute special calculation steps to compute faster, they leave traces that hackers could abuse.

Researchers from ETH Zurich, the University of Zurich and Empa have developed a new material for an electronic component that can be used in a wider range of applications than its predecessors. Such components will help create electronic circuits that emulate the human brain and that are more efficient at performing machine-learning tasks.

Researchers from ETH Zurich, Empa and the University of Zurich have developed a new material for an electronic component that can be used in a wider range of applications than its predecessors. Such components will help create electronic circuits that emulate the human brain and that are more efficient than conventional computers at performing machine-learning tasks.

Scientists have developed a digital model of the fruit fly, Drosophila melanogaster, which realistically simulates the movements of the animal. The twin is a big step towards reverse engineering the neuromechanical control of animal behavior, and developing bioinspired robots. "We used two kinds of data to build NeuroMechFly," says Professor Pavan Ramdya at EPFL's School of Life Sciences.

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.

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.

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.

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.

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.

Deep learning models are becoming increasingly common in bioimage analysis. Yet a lack of standardization and the use of these algorithms by non-experts are potential sources of bias. Scientists from EPFL and the European Bioinformatics Institute (EMBL-EBI) offer practical tips and guidance in a paper recently published in the journal IEEE.

A team of experts in artificial intelligence and animal ecology have put forth a new, cross-disciplinary approach intended to enhance research on wildlife species and make more effective use of the vast amounts of data now being collected thanks to new technology. Their study appears today. The field of animal ecology has entered the era of big data and the Internet of Things.

Researchers at PSI have compared the electron distribution below the oxide layer of two semiconductors. The investigation is part of an effort to develop particularly stable quantum bits -and thus, in turn, particularly efficient quantum computers. They have now published their latest research, which is supported in part by Microsoft, in the scientific journal Advanced Quantum Technologies .

Engineers at EPFL have developed a method for reading several qubits - the smallest unit of quantum data - at the same time. Their discovery paves the way to a new generation of even more powerful quantum computers. -IBM and Google currently have the world's most powerful quantum computers,- says Prof. Edoardo Charbon, head of the Advanced Quantum Architecture Laboratory (AQUA Lab) in EPFL's School of Engineering.