Computers Math

Gaming is a $193 billion industry — nearly double the size of the film and music industries combined — and there are around three billion gamers worldwide. While online gaming can improve wellbeing and foster social relations, privacy and awareness issues could potentially offset these benefits and cause real harm to gamers.
The new study, by scientists at Aalto University’s Department of Computer Science, reveals potentially questionable data collection practices in online games, along with misconceptions and concerns about privacy among players. The study also offers risk mitigation strategies for players and design recommendations for game developers to improve privacy in online games.
‘We had two supporting lines of inquiry in this study: what players think about games, and what games are really up to with respect to privacy,’ says Janne Lindqvist, associate professor of computer science at Aalto. ‘It was really surprising to us how nuanced the considerations of gamers were. For example, participants said that, to protect their privacy, they would avoid using voice chat in games unless it was absolutely necessary. Our game analysis revealed that some games try to nudge people to reveal their online identities by offering things like virtual rewards.’
The authors identified instances of games using dark design — interface decisions that manipulate users into doing something they otherwise wouldn’t. These could facilitate the collection of player data and encourage players to integrate their social media accounts or allow data sharing with third parties.
‘When social media accounts are linked to games, players generally can’t know what access the games have to these accounts or what information they receive,’ says Amel Bourdoucen, doctoral researcher in usable security at Aalto. ‘For example, in some popular games, users can log in with (or link to) their social media accounts, but these games may not specify what data is collected through such integration.’
The global gaming community has been subject to increased scrutiny over the past decade because of online harassment and the industry’s burnout culture. While these issues still linger, the push for more tech regulation in the EU and US has also brought privacy issues to the forefront.
‘Data handling practices of games are often hidden behind legal jargon in privacy policies,’ says Bourdoucen. ‘When users’ data are collected, games should make sure the players understand and consent to what is being collected. This can increase the player’s awareness and sense of control in games. Gaming companies should also protect players’ privacy and keep them safe while playing online.’ More

Quantum physicists at Delft University of Technology have shown that it’s possible to control and manipulate spin waves on a chip using superconductors for the first time. These tiny waves in magnets may offer an alternative to electronics in the future, interesting for energy-efficient information technology or connecting pieces in a quantum computer, for example. The breakthrough, published in Science, primarily gives physicists new insight into the interaction between magnets and superconductors.
Energy-efficient substitute
“Spin waves are waves in a magnetic material that we can use to transmit information,” explains Michael Borst, who led the experiment. “Because spin waves can be a promising building block for an energy-efficient replacement for electronics, scientists have been searching for an efficient way to control and manipulate spin waves for years.”
Theory predicts that metal electrodes give control over spin waves, but physicists have barely seen such effects in experiments until now. “The breakthrough of our research team is that we show that we can indeed control spin waves properly if we use a superconducting electrode,” says Toeno van der Sar, Associate Professor in the Department of Quantum Nanoscience.
Superconducting mirror
It works as follows: a spin wave generates a magnetic field that in turn generates a supercurrent in the superconductor. That supercurrent acts as a mirror for the spin wave: the superconducting electrode reflects the magnetic field back to the spin wave. The superconducting mirror causes spin waves to move up and down more slowly, and that makes the waves easily controllable. Borst: “When spin waves pass under the superconducting electrode, it turns out that their wavelength changes completely! And by varying the temperature of the electrode slightly, we can tune the magnitude of the change very accurately.”
“We started with a thin magnetic layer of yttrium iron garnet (YIG), known as the best magnet on Earth. On top of that we laid a superconducting electrode and another electrode to induce the spin waves. By cooling to -268 degrees, we got the electrode into a superconducting state,” Van der Sar says. “It was amazing to see that the spin waves got slower and slower as it got colder. That gives us a unique handle to manipulate the spin waves; we can deflect them, reflect them, make them resonate and more. But it also gives us tremendous new insights into the properties of superconductors.”
Unique sensor More

The search is on for better semiconductors. Writing in Science, a team of chemists at Columbia University led by Jack Tulyag, a PhD student working with chemistry professor Milan Delor, describes the fastest and most efficient semiconductor yet: a superatomic material called Re6Se8Cl2.
Semiconductors — most notably, silicon — underpin the computers, cellphones, and other electronic devices that power our daily lives, including the device on which you are reading this article. As ubiquitous as semiconductors have become, they come with limitations. The atomic structure of any material vibrates, which creates quantum particles called phonons. Phonons in turn cause the particles — either electrons or electron-hole pairs called excitons — that carry energy and information around electronic devices to scatter in a matter of nanometers and femtoseconds. This means that energy is lost in the form of heat, and that information transfer has a speed limit.
The search is on for better options. Writing in Science, a team of chemists at Columbia University led by Jack Tulyag, a PhD student working with chemistry professor Milan Delor, describes the fastest and most efficient semiconductor yet: a superatomic material called Re6Se8Cl2.
Rather than scattering when they come into contact with phonons, excitons in Re6Se8Cl2 actually bind with phonons to create new quasiparticles called acoustic exciton-polarons. Although polarons are found in many materials, those in Re6Se8Cl2 have a special property: they are capable of ballistic, or scatter-free, flow. This ballistic behavior could mean faster and more efficient devices one day.
In experiments run by the team, acoustic exciton-polarons in Re6Se8Cl2 moved fast — twice as fast as electrons in silicon — and crossed several microns of the sample in less than a nanosecond. Given that polarons can last for about 11 nanoseconds, the team thinks the exciton-polarons could cover more than 25 micrometers at a time. And because these quasiparticles are controlled by light rather than an electrical current and gating, processing speeds in theoretical devices have the potential to reach femtoseconds — six orders of magnitude faster than the nanoseconds achievable in current Gigahertz electronics. All at room temperature.
“In terms of energy transport, Re6Se8Cl2 is the best semiconductor that we know of, at least so far,” Delor said.
A Quantum Version of the Tortoise and the Hare
Re6Se8Cl2 is a superatomic semiconductor created in the lab of collaborator Xavier Roy. Superatoms are clusters of atoms bound together that behave like one big atom, but with different properties than the elements used to build them. Synthesizing superatoms is a specialty of the Roy lab, and they are a main focus of Columbia’s NSF-funded Material Research Science and Engineering Center on Precision Assembled Quantum Materials. Delor is interested in controlling and manipulating the transport of energy through superatoms and other unique materials developed at Columbia. To do this, the team builds super-resolution imaging tools that can capture particles moving at ultrasmall, ultrafast scales. More

Coherence stands as a pillar of effective communication, whether it is in writing, speaking or information processing. This principle extends to quantum bits, or qubits, the building blocks of quantum computing. A quantum computer could one day tackle previously insurmountable challenges in climate prediction, material design, drug discovery and more.
A team led by the U.S. Department of Energy’s (DOE) Argonne National Laboratory has achieved a major milestone toward future quantum computing. They have extended the coherence time for their novel type of qubit to an impressive 0.1 milliseconds — nearly a thousand times better than the previous record.
In everyday life, 0.1 milliseconds is as fleeting as a blink of an eye. However, in the quantum world, it represents a long enough window for a qubit to perform many thousands of operations.
Unlike classical bits, qubits seemingly can exist in both states, 0 and 1. For any working qubit, maintaining this mixed state for a sufficiently long coherence time is imperative. The challenge is to safeguard the qubit against the constant barrage of disruptive noise from the surrounding environment.
The team’s qubits encode quantum information in the electron’s motional (charge) states. Because of that, they are called charge qubits.
“Among various existing qubits, electron charge qubits are especially attractive because of their simplicity in fabrication and operation, as well as compatibility with existing infrastructures for classical computers,” said Dafei Jin, a professor at the University of Notre Dame with a joint appointment at Argonne and the lead investigator of the project. “This simplicity should translate into low cost in building and running large-scale quantum computers.”
Jin is a former staff scientist at the Center for Nanoscale Materials (CNM), a DOE Office of Science user facility at Argonne. While there, he led the discovery of their new type of qubit, reported last year. More

Hussam Amrouch has developed an AI-ready architecture that is twice as powerful as comparable in-memory computing approaches. As reported in the journal Nature, the professor at the Technical University of Munich (TUM) applies a new computational paradigm using special circuits known as ferroelectric field effect transistors (FeFETs). Within a few years, this could prove useful for generative AI, deep learning algorithms and robotic applications.
The basic idea is simple: unlike previous chips, where only calculations were carried out on transistors, they are now the location of data storage as well. That saves time and energy. “As a result, the performance of the chips is also boosted,” says Hussam Amrouch, a professor of AI processor design at the Technical University of Munich (TUM). The transistors on which he performs calculations and stores data measure just 28 nanometers, with millions of them placed on each of the new AI chips. The chips of the future will have to be faster and more efficient than earlier ones. Consequently, they cannot heat up as quickly. This is essential if they are to support such applications as real-time calculations when a drone is in flight, for example. “Tasks like this are extremely complex and energy-hungry for a computer,” explains the professor.
Modern chips: many steps, low energy consumption
These key requirements for a chip are summed up mathematically by the parameter TOPS/W: “tera-operations per second per watt.” This can be seen as the currency for the chips of the future. The question is how many trillion operations (TOP) a processor can perform per second (S) when provided with one watt (W) of power. The new AI chip, developed in a collaboration between Bosch and Fraunhofer IMPS and supported in the production process by the US company GlobalFoundries, can deliver 885 TOPS/W. This makes it twice as powerful as comparable AI chips, including a MRAM chip by Samsung. CMOS chips, which are now commonly used, operate in the range of 10-20 TOPS/W. This is demonstrated in results recently published in Nature.
In-memory computing works like the human brain
The researchers borrowed the principle of modern chip architecture from humans. “In the brain, neurons handle the processing of signals, while synapses are capable of remembering this information,” says Amrouch, describing how people are able to learn and recall complex interrelationships. To do this, the chip uses “ferroelectric” (FeFET) transistors. These are electronic switches that incorporate special additional characteristics (reversal of poles when a voltage is applied) and can store information even when cut off from the power source. In addition, they guarantee the simultaneous storage and processing of data within the transistors. “Now we can build highly efficient chipsets that can be used for such applications as deep learning, generative AI or robotics, for example where data have to be processed where they are generated,” believes Amrouch.
Market-ready chips will require interdisciplinary collaboration
The goal is to use the chip to run deep learning algorithms, recognize objects in space or process data from drones in flight with no time lag. However, the professor from the integrated Munich Institute of Robotics and Machine Intelligence (MIRMI) at TUM believes that it will be a few years before this is achieved. He thinks that it will be three to five years, at the soonest, before the first in-memory chips suitable for real-world applications become available. One reason for this, among others, lies in the security requirements of industry. Before a technology of this kind can be used in the automotive industry, for example, it is not enough for it to function reliably. It also has to meet the specific criteria of the sector. “This again highlights the importance of interdisciplinary collaboration with researchers from various disciplines such as computer science, informatics and electrical engineering,” says the hardware expert Amrouch. He sees this as a special strength of MIRMI. More

For the first time, experimental physicists from the Würzburg-Dresden Cluster of Excellence ct.qmat have demonstrated a new quantum effect aptly named the “spinaron.” In a meticulously controlled environment and using an advanced set of instruments, they managed to prove the unusual state a cobalt atom assumes on a copper surface. This revelation challenges the long-held Kondo effect — a theoretical concept developed in the 1960s, and which has been considered the standard model for the interaction of magnetic materials with metals since the 1980s. These groundbreaking findings were published today in the  journal Nature Physics.
Extreme conditions prevail in the Würzburg laboratory of experimental physicists Professor Matthias Bode and Dr. Artem Odobesko. Affiliated with the Cluster of Excellence ct.qmat, a collaboration between JMU Würzburg and TU Dresden, these visionaries are setting new milestones in quantum research. Their latest endeavor is unveiling the spinaron effect. They strategically placed individual cobalt atoms onto a copper surface, brought the temperature down to 1.4 Kelvin (-271.75° Celsius), and then subjected them to a powerful external magnetic field. “The magnet we use costs half a million euros. It’s not something that’s widely available,” explains Bode. Their subsequent analysis yielded unexpected revelations.
Tiny Atom, Massive Effect
“We can see the individual cobalt atoms by usinga scanning tunneling microscope. Each atom has a spin, which can be thought of as a magnetic north or south pole. Measuring it was crucial to our surprising discoveries,” explains Bode. “We vapor-deposited a magnetic cobalt atom onto a non-magnetic copper base, causing the atom to interact with the copper’s electrons. Researching such correlation effects within quantum materials is at the heart of ct.qmat’s mission — a pursuit that promises transformative tech innovations down the road.
Like a Rugby in a Ball Pit
Since the 1960s, solid-state physicists have assumed that the interaction between cobalt and copper can be explained by the Kondo effect, with the different magnetic orientations of the cobalt atom and copper electrons canceling each other out. This leads to a state in which the copper electrons are bound to the cobalt atom, forming what’s termed a “Kondo cloud.” However, Bode and his team delved deeper in their laboratory. And they validated an alternate theory proposed in 2020 by theorist Samir Lounis from research institute Forschungszentrum Jülich.
By harnessing the power of an intense external magnetic field and using an iron tip in the scanning tunneling microscope, the Würzburg physicists managed to determine the magnetic orientation of the cobalt’s spin. This spin isn’t rigid, but switches permanently back and forth, i.e. from “spin-up” (positive) to “spin-down” (negative), and vice versa. This switching excites the copper electrons, a phenomenon called the spinaron effect. Bode elucidates it with a vivid analogy: “Because of the constant change in spin alignment, the state of the cobalt atom can be compared to a rugby ball. When a rugby ball spins continuously in a ball pit, the surrounding balls are displaced in a wave-like manner. That’s precisely what we observed — the copper electrons started oscillating in response and bonded with the cobalt atom.” Bode continues: “This combination of the cobalt atom’s changing magnetization and the copper electrons bound to it is the spinaron predicted by our Jülich colleague.”
The first experimental validation of the spinaron effect, courtesy of the Würzburg team, casts doubt on the Kondo effect. Until now, it was considered the universal model to explain the interaction between magnetic atoms and electrons in quantum materials such as the cobalt-copper duo. Bode quips: “Time to pencil in a significant asterisk in those physics textbooks!” More

Smart, stretchable and highly sensitive, a new soft sensor developed by UBC and Honda researchers opens the door to a wide range of applications in robotics and prosthetics.
When applied to the surface of a prosthetic arm or a robotic limb, the sensor skin provides touch sensitivity and dexterity, enabling tasks that can be difficult for machines such as picking up a piece of soft fruit. The sensor is also soft to the touch, like human skin, which helps make human interactions safer and more lifelike.
“Our sensor can sense several types of forces, allowing a prosthetic or robotic arm to respond to tactile stimuli with dexterity and precision. For instance, the arm can hold fragile objects like an egg or a glass of water without crushing or dropping them,” said study author Dr. Mirza Saquib Sarwar, who created the sensor as part of his PhD work in electrical and computer engineering at UBC’s faculty of applied science.
Giving machines a sense of touch
The sensor is primarily composed of silicone rubber, the same material used to make many skin special effects in movies. The team’s unique design gives it the ability to buckle and wrinkle, just like human skin.
“Our sensor uses weak electric fields to sense objects, even at a distance, much as touchscreens do. But unlike touchscreens, this sensor is supple and can detect forces into and along its surface. This unique combination is key to adoption of the technology for robots that are in contact with people,” explained Dr. John Madden, senior study author and a professor of electrical and computer engineering who leads the Advanced Materials and Process Engineering Laboratory (AMPEL) at UBC.
The UBC team developed the technology in collaboration with Frontier Robotics, Honda’s research institute. Honda has been innovating in humanoid robotics since the 1980s, and developed the well-known ASIMO robot. It has also developed devices to assist walking, and the emerging Honda Avatar Robot. More

ustralian researchers have developed cutting-edge technology known as “acoustic touch” that helps people ‘see’ using sound. The technology has the potential to transform the lives of those who are blind or have low vision.
Around 39 million people worldwide are blind, according to the World Health Organisation, and an additional 246 million people live with low vision, impacting their ability to participate in everyday life activities.
The next generation smart glasses, which translate visual information into distinct sound icons, were developed by researchers from the University of Technology Sydney and the University of Sydney, together with Sydney start-up ARIA Research.
“Smart glasses typically use computer vision and other sensory information to translate the wearer’s surrounding into computer-synthesized speech,” said Distinguished Professor Chin-Teng Lin, a global leader in brain-computer interface research from the University of Technology Sydney.
“However, acoustic touch technology sonifies objects, creating unique sound representations as they enter the device’s field of view. For example, the sound of rustling leaves might signify a plant, or a buzzing sound might represent a mobile phone,” he said.
A study into the efficacy and usability of acoustic touch technology to assist people who are blind, led by Dr Howe Zhu from the University of Technology Sydney, has just been published in the journal PLOS ONE.
The researchers tested the device with 14 participants; seven individuals with blindness or low vision and seven blindfolded sighted individuals who served as a control group. More