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Category: transportation

Your car’s tire sensors could be used to track you

Researchers at IMDEA Networks Institute, together with European partners, have found that tire pressure sensors in modern cars can unintentionally expose drivers to tracking. Over a ten-week study, they collected signals from more than 20,000 vehicles, revealing a hidden privacy risk and highlighting the need for stronger security measures in future vehicle sensor systems.

Most modern cars are equipped with a Tire Pressure Monitoring System (TPMS), mandatory since the late 2000s in many countries for their contribution to road safety. This system uses small sensors in each wheel to monitor tire pressure and sends wireless signals to the car’s computer to alert the driver if a tire is underinflated.

However, the researchers found that these tire sensors also send a unique ID number in clear, unencrypted wireless signals, meaning that anyone nearby with a simple radio receiver can capture the signal, and recognize the same car again later. Most vehicle tracking today uses cameras that need clear visibility and line-of-sight to a car. TPMS tracking is different: tire sensors automatically send radio signals that pass through walls and vehicles, allowing small hidden wireless receivers to capture them without being seen.

The physics of sneaker squeaks: High-speed imaging shows how they arise from supersonic detachment pulses

Basketball shoes on a gym floor, bicycle brakes in need of a tune-up, or the squeal of tires are everyday examples of squeaking sounds. Such sounds have long been attributed to stick-slip friction, or a cycle of intermittent sticking and sliding between surfaces. While this framework explains many rigid-on-rigid systems such as door hinges, it does not fully capture the physics of soft-on-rigid interfaces, like shoes on a floor.

To shed light on this little-understood physical process, researchers at the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS), in collaboration with the University of Nottingham and the French National Center for Scientific Research, have used high-speed imaging to investigate the dynamics of soft solids sliding rapidly on rigid substrates.

In a study published in Nature, the team led by first author Adel Djellouli, a postdoctoral fellow in the lab of Katia Bertoldi, the William and Ami Kuan Danoff Professor of Applied Mechanics at SEAS, reports that squeaking emerges from a previously unseen mechanism.

Algal Swimming Patterns Change with Light Intensity

In response to changes in illumination, a swimming microorganism reverses the direction of its circular trajectory by tilting its flagella’s planes of motion.

Many microorganisms adjust their swimming trajectories in response to environmental signals such as nutrients or light. Researchers have now discovered a new mode of such behavior in a species of green algae [1]. The microbes swim in wide circles when illuminated and switch from counterclockwise (CCW) to clockwise (CW) swimming when the light intensity is above a threshold value. The researchers determined how this change is generated by the algae’s two whip-like flagella. They say that the results reveal a new navigation strategy that microorganisms can use to find optimal environments.

The single-celled green alga Chlamydomonas reinhardtii is photosynthetic and moves toward light by beating its two flagella, situated close together on its front surface, in a breaststroke pattern. In 2021, Kirsty Wan and Dario Cortese of the University of Exeter in the UK figured out the beating pattern that produces the microbe’s typical corkscrew-shaped trajectory, which follows a tight helix [2]. They showed how changing the frequency, amplitude, and synchronization of the flagellar beating allows the cell to change the overall direction of motion, perhaps to steer it toward or away from a light source and optimize the intensity of light it receives.

These Billionaires Plan To Bring Self-Driving Tech To Everything That Moves

Applied Intuition’s cofounders are building software that can drive everything from planes to tanks to automobiles. But to expand beyond its $800 million business selling tech for cars, they will have to take on Tesla, Google, Nvidia and a host of other startups jostling for pole position in the autonomy race.

AI ‘blind spot’ could allow attackers to hijack self-driving vehicles

A newly discovered vulnerability could allow cybercriminals to silently hijack the artificial intelligence (AI) systems in self-driving cars, raising concerns about the security of autonomous systems increasingly used on public roads. Georgia Tech cybersecurity researchers discovered the vulnerability, dubbed VillainNet, and found it can remain dormant in a self-driving vehicle’s AI system until triggered by specific conditions. Once triggered, VillainNet is almost certain to succeed, giving attackers control of the targeted vehicle.

The research finds that attackers could program almost any action within a self-driving vehicle’s AI super network to trigger VillainNet. In one possible scenario, it could be triggered when a self-driving taxi’s AI responds to rainfall and changing road conditions. Once in control, hackers could hold the passengers hostage and threaten to crash the taxi.

The researchers discovered this new backdoor attack threat in the AI super networks that power autonomous driving systems.

How choices made by crowds in a train station are guided by strangers

In crowds, most people are strangers to you, and everyone else for that matter. However, until now, the effect of stranger-to-stranger interactions on the choices people make in crowds has not been properly examined. Ziqi Wang and Federico Toschi from the TU/e Department of Applied Physics and Science Education, along with Alessandro Gabbana at the University of Ferrara in Italy, explored how strangers influence people’s choices in crowds at Eindhoven Centraal railway station. The research is published in the journal Proceedings of the National Academy of Sciences.

“Using a collection of special overhead sensors, we gathered data on how pedestrians move over a three-year period, from March 2021 to March 2024,” says Toschi. “This amounted to about 30,000,000 pedestrian trajectories and included people getting off trains and those waiting on the platform. We collaborated with ProRail on this project, as we have done in previous studies on how pedestrians move in Eindhoven Centraal station.”

Toschi has been studying pedestrian dynamics for some time and was jointly awarded the 2021 Ig Nobel Prize for physics for work on how pedestrians keep a certain distance from each other in crowds.

New catalyst unlocks aluminum’s ability to switch between oxidation states

Aluminum’s journey has been remarkable, going from being more expensive than gold to one of the most widely used materials, from beverage cans to window frames and car parts. Scientists from the Southern University of Science and Technology have added a new feather in aluminum’s cap by expanding its use beyond the metallic form. They created a new aluminum-based redox catalyst —carbazolylaluminylene—that can flip back and forth between two oxidation states: Al(I) and Al(III). This catalyst drove chemical transformations long considered exclusive to transition metals.

This unique feature allowed the team to carry out selective aromatic reactions that bring together three separate alkyne molecules and assemble them into a single benzene ring, resulting in a wide range of benzene derivatives. Carbazolylaluminylene also stood out for its remarkable durability, completing up to 2,290 reaction cycles without losing any catalytic activity. The findings are published in Nature.

Eurail says stolen traveler data now up for sale on dark web

Eurail B.V., the operator that provides access to 250,000 kilometers of European railways, confirmed that data stolen in a breach earlier this year is being offered for sale on the dark web.

The company said that a threat actor also published a sample of the data on the Telegram messaging platform but it is still trying to determine the type of records and number of customers affected.

Eurail B.V. is a Netherlands-based firm that manages and sells passes (Eurail and Interrail) for train travel across Europe, offering flexibility for multi-country trips.

AI learns to perform analog layout design

Researchers at Pohang University of Science and Technology (POSTECH) have developed an artificial intelligence approach that addresses a key bottleneck in analog semiconductor layout design, a process that has traditionally depended heavily on engineers’ experience. The work was recently published in the journal IEEE Transactions on Circuits and Systems I: Regular Papers.

Semiconductors are used in a wide range of technologies, including smartphones, vehicles, and AI servers. However, analog layout design remains difficult to automate because designers must manually arrange structures that determine performance and reliability while meeting a large number of design rules.

Automation has been especially challenging in analog design because layouts are too complex and design strategies differ significantly by circuit. In addition, training data is scarce, since layout data is typically treated as proprietary and is rarely shared outside companies.

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