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After a 40-year wait, technology finally enables three-sided zipper design

In 1985, the Innovative Design Fund placed an ad in Scientific American offering up to $10,000 to support clever prototypes for clothing, home decor, and textiles. William Freeman Ph.D., then an electrical engineer at Polaroid and now an MIT professor, saw it and submitted a novel idea: a three-sided zipper. Instead of fastening pants, it’d be like a switch that seamlessly flipped chairs, tents, and purses between soft and rigid states, making them easier to pack and put together.

Freeman’s blueprint was much like a regular zipper, except triangular. On each side, he nailed a belt to connect narrow wooden “teeth” together. A slider wrapping around the device could be moved up to fasten the three strips into place, straightening them into a triangular tube. His proposal was rejected, but Freeman patented his prototype and stored it in his garage in the hopes it might come in handy one day.

Nearly 40 years later, MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) researchers wanted to revive the project to create items with “tunable stiffness.” Prior attempts to adjust that weren’t easily reversible or required manual assembly, so CSAIL built an automated design tool and adaptable fastener called the “Y-zipper.” The scientists’ software program helps users customize three-sided zippers, which it then builds on its own in a 3D printer using plastics. These devices can be attached or embedded into camping equipment, medical gear, robots, and art installations for more convenient assembly.

DNA-reading AI reconstructs ancestry in minutes, matching top statistical methods

Researchers at the University of Oregon have developed an artificial intelligence tool that can read genetic code the way large language models like ChatGPT read text. Scanning the genome for biological mutation patterns, the computer model traces pairs of genes back in time to their last common ancestor.

It’s the first language model designed for population genetics, said Andrew Kern, a computational biologist in the UO College of Arts and Sciences. As described in a paper published April 10 in the Proceedings of the National Academy of Sciences, the AI tool offers scientists a fast and flexible alternative to classical methods for reconstructing evolutionary history.

In practice, it can help researchers like Kern understand when disease-resistance genes emerged in a population, for example, or when species evolved key traits.

Synchrotron X-rays uncover hidden protein binding sites, enabling two new functions

Using bright X-rays from the Department of Energy’s SLAC National Accelerator Laboratory and Lawrence Berkeley National Laboratory (Berkeley Lab), researchers pioneered an innovative approach to designing proteins with targeted functions. Their method generated new insights that allowed the team to turn a single designed protein into two new proteins with completely different functions—one of which is the most active designed enzyme to date.

In the study, published in Nature Chemistry, the University of California, San Francisco (UCSF), team for the first time combined X-ray studies of how small molecule fragments bind to designed proteins, known as crystallographic fragment screening, with a method used to design proteins, called directed evolution. This breakthrough approach could lead to simpler ways to improve enzymes and medications, among other uses.

“Our novel protein design strategy simultaneously explores the landscapes of chemical space and sequence space, which helps design functional proteins rapidly,” said Sagar Bhattacharya, postdoctoral researcher at UCSF and an author on the paper. “Instead of the typical 5–10 rounds or more of directed evolution, we achieved the 10-fold higher enzyme activity with just two rounds of directed evolution.”

AI fails to make inroads with cybercriminals, study finds

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.

No digital content is safe from generative AI, researchers 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 says these crystal vibrations can never mix, but an exotic quantum phase rewrites the rules

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.

No more guesswork in drug design—atomic-resolution method exposes what trial and error keep missing

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.

Mathematical framework solves asteroid route planning exactly for first time

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.

Magnon lifetime extended 100x paves the way for mini quantum computers

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 tiny world beyond Neptune has an atmosphere that shouldn’t exist

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.

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