Cybercriminals have been struggling to adopt AI in their work, reports the first-of-its-kind study that analyzed a dataset of 100 million posts from underground cybercrime communities. The study is published on the arXiv preprint server.
In reality, most cybercriminals—often referred to as hackers—lack the skills or resources to support real innovation within their criminal activities, experts say.
A research team led by Virginia Tech cybersecurity expert Bimal Viswanath has found a critical blind spot in today’s image protection techniques designed to prevent bad actors from stealing online content for unauthorized artificial intelligence training, style mimicry, and deepfake manipulations. The study is published on the arXiv preprint server.
The research team found that attackers can defeat existing security using off-the-shelf artificial intelligence (AI) models and simple commands. Furthermore, “There is currently no foolproof, mathematically guaranteed way for users to protect publicly posted images against an adversary using off-the-shelf GenAI models,” Viswanath said.
The work was presented at the fourth IEEE Conference on Secure and Trustworthy Machine Learning, in Munich, Germany. The authors include Viswanath, doctoral students Xavier Pleimling and Sifat Muhammad Abdullah, Assistant Professor Peng Gao, Murtuza Jadliwala of the University of Texas at San Antonio, and Gunjan Balde and Mainack Mondal of the Indian Institute of Technology, Kharagpur.
Symmetry is one of the most fundamental principles in nature. It describes the rules that make an object look unchanged after a rotation, reflection, or other transformations. In materials, symmetry governs how atoms and electrons are arranged, and how they move together. Crucially, symmetry can even prevent certain collective atomic motions (vibrations) from interacting at all: some are simply forbidden to talk to each other. But what if those symmetry restrictions are not as rigid as they seem?
A new study in Nature Physics shows that these constraints can be partially lifted. Researchers at the University of Texas at Austin and the Max Planck Institute for the Structure and Dynamics of Matter (MPSD) in Hamburg found that electronic fluctuations can dynamically bridge vibrations that symmetry would normally keep separate. Led by Edoardo Baldini’s group at UT Austin, the study reveals how light, vibrations, and electrons become intertwined in a special type of crystal known as ferroaxial, opening new opportunities for controlling quantum states with light.
The researchers focused on a layered material that at room temperature develops an exotic quantum state. Ions and electrons rearrange together into a static, wave-like pattern known as a charge-density wave (CDW), which manifests as a tiling of star-of-David clusters.
Drug discovery still too often relies on expensive trial and error. Researchers from ICTER show there is another way—building molecules step by step and observing their behavior at atomic resolution. This approach could significantly speed up the development of new therapies while reducing side effects.
The starting point of the study, published in Diabetology by Vineeta Kaushik, Saurav Karmakar, and Humberto Fernandes, is aldose reductase (AR)—an enzyme that has long been at the center of research into diabetic complications. Under conditions of chronic hyperglycemia, the so-called polyol pathway becomes overactive, converting glucose into sorbitol. Its accumulation leads to osmotic stress, redox imbalance, and ultimately cellular damage.
This mechanism is directly linked to complications such as diabetic retinopathy, neuropathy, and nephropathy. Inhibiting aldose reductase, therefore, appears to be an obvious therapeutic strategy. Yet despite decades of research, no drug has successfully combined strong efficacy with a favorable safety profile.
A new publication from Bielefeld University sets a benchmark in optimization research. Together with an international team, Professor Michael Römer from the Faculty of Business Administration and Economics has developed a mathematical framework that solves a complex problem from space logistics exactly for the first time: the optimal planning of a route to visit several asteroids under conditions that are as close to reality as possible. The study is published in the INFORMS Journal on Computing.
At the center of the research is the so-called Asteroid Routing Problem. It addresses the question: In what order should a spacecraft visit multiple asteroids if both travel time and fuel consumption are to be minimized? The challenge is that, unlike in classical routing problems, the travel time between destinations is constantly changing because all celestial bodies are in continuous motion.
The idea for the study originated in Bielefeld, sparked by a success in a competition organized by the European Space Agency (ESA). During a research stay in Bielefeld, lead author Isaac Rudich revisited the topic and, together with the team, developed a new solution approach.
Magnons are tiny waves in magnetization that travel through solid magnetic materials, much like the ripples that spread across a pond when a stone is thrown into it. Unlike photons, which travel through empty space or optical fibers, magnons propagate within a magnetic solid. Their wavelengths can be reduced to the nanometer range, meaning that magnonic circuits could, in principle, fit onto a chip no larger than those found in today’s smartphones. Furthermore, as an excitation of a solid, a magnon naturally couples to numerous other fundamental quasi-particles—phonons, photons and others—making it an ideal building block for hybrid quantum systems and quantum metrology.
Until now, there has been one major obstacle: magnons have had a very short lifetime. This lifetime—the period during which they can reliably carry quantum information—was limited to a few hundred nanoseconds at best. Far too short for any practical quantum computation. The team led by Wiener has now achieved a breakthrough: the physicists were able to measure magnon lifetimes of up to 18 microseconds—almost a hundred times longer than any value observed to date.
In this state, magnons are no longer fleeting signals, but become long-lived, reliable carriers of quantum information, comparable to the superconducting qubits used in today’s leading quantum processors. The study has recently been published in the journal Science Advances.
A team of professional and amateur Japanese astronomers have found evidence for a thin atmosphere around a small body in the outer solar system. The object is so small that it should not have a sustainable atmosphere, raising questions about when and how the atmosphere formed. Future observations to better characterize the atmosphere will help solve these mysteries.
Quantum technology has promising potential to revolutionize how large and complex amounts of information are processed. While already in use primarily in laboratory and research settings globally, quantum technologies are in a transition phase for broader industry applications across many economic sectors.
In researching fundamental aspects of quantum physics, or the behavior of nature at the smallest scales—involving atoms, electrons and photons—a study led by Cal Poly Physics Department Lecturer Ian Powell analyzed how a changing magnetic field can make matter behave in unusual ways.
Powell and student researcher Louis Buchalter, who graduated with a Cal Poly bachelor’s degree in physics in 2025, published the article “Flux-Switching Floquet Engineering” in the journal Physical Review B, highlighting how changing magnetic fields over time can create quantum states that do not exist in any stationary material (remaining in the same state as time elapses).
