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Category: transportation

Malicious Blender model files deliver StealC infostealing malware

A Russian-linked campaign delivers the StealC V2 information stealer malware through malicious Blender files uploaded to 3D model marketplaces like CGTrader.

Blender is a powerful open-source 3D creation suite that can execute Python scripts for automation, custom user interface panels, add-ons, rendering processes, rigging tools, and pipeline integration.

If the Auto Run feature is enabled, when a user opens a character rig, a Python script can automatically load the facial controls and custom UI panels with the required buttons and sliders.

China’s 1-second film speeds rapid charge for EVs, high-power lasers

Chinese scientists claim to have reported a major jump in capacitor manufacturing earlier this month. The group has cut the production time for dielectric energy storage parts to one second.

The announcement has drawn widespread attention because it points to fast, stable energy storage for advanced defense systems and electric vehicles.

The team used a flash annealing method that heats and cools material at a rate of about 1,832°F (1,000°C) per second. This speed allows crystal films to form on a silicon wafer in a single step. Other techniques require far more time and can take from 3 minutes to 1 hour, depending on the film quality.

Perovskite photovoltaics prepare for their time in the sun

To capture more of the Sun’s spectrum, Steve Albrecht of the Technical University of Berlin and the Helmholtz Centre for Materials and Energy added a third layer of perovskite to make a so-called triple-junction cell, which could potentially offer even higher efficiencies. “It is truly a product of the future,” he says.

Other researchers are teaming perovskites with organic solar cells, forming flexible tandems suitable for indoor applications, or to cover vehicles. Yi Hou of the National University of Singapore points out that the perovskite layer filters ultraviolet light that would damage the organic cell. His team made a flexible perovskite–organic tandem5 with a record efficiency of 26.7%, and he is commercializing the technology through his company Singfilm Solar.

Despite the promising efficiency results, there was broad consensus at the conference that long-term stability is the field’s most pressing issue. Collaboration between researchers from academia, industry and national labs will be vital to fix that, says Marina Leite at the University of California, Davis: “We can work together to finally resolve the problem of stability in perovskites and truly enable this technology in the near future.”

New solar-powered Nissan EV can drive 3,000 km a year without ever plugging in

Nissan just announced a solar-powered EV based on the Nissan Sakura for this year’s Japan Mobility Show.

Built using the super popular kei car as a platform, the solar-powered Sakura promises ‘free’ motoring thanks to its solar panels.

In theory, you can drive it for a year without ever plugging it in.

New AI language-vision models transform traffic video analysis to improve road safety

New York City’s thousands of traffic cameras capture endless hours of footage each day, but analyzing that video to identify safety problems and implement improvements typically requires resources that most transportation agencies don’t have.

Now, researchers at NYU Tandon School of Engineering have developed an artificial intelligence system that can automatically identify collisions and near-misses in existing traffic video by combining language reasoning and visual intelligence, potentially transforming how cities improve road safety without major new investments.

Published in the journal Accident Analysis & Prevention, the research won New York City’s Vision Zero Research Award, an annual recognition of work that aligns with the city’s road safety priorities and offers actionable insights. Professor Kaan Ozbay, the paper’s senior author, presented the study at the eighth annual Research on the Road symposium.

The Intelligence Foundation Model Could Be The Bridge To Human Level AI

Cai Borui and Zhao Yao from Deakin University (Australia) presented a concept that they believe will bridge the gap between modern chatbots and general-purpose AI. Their proposed “Intelligence Foundation Model” (IFM) shifts the focus of AI training from merely learning surface-level data patterns to mastering the universal mechanisms of intelligence itself. By utilizing a biologically inspired “State Neural Network” architecture and a “Neuron Output Prediction” learning objective, the framework is designed to mimic the collective dynamics of biological brains and internalize how information is processed over time. This approach aims to overcome the reasoning limitations of current Large Language Models, offering a scalable path toward true Artificial General Intelligence (AGI) and theoretically laying the groundwork for the future convergence of biological and digital minds.

The Intelligence Foundation Model represents a bold new proposal in the quest to build machines that can truly think. We currently live in an era dominated by Large Language Models like ChatGPT and Gemini. These systems are incredibly impressive feats of engineering that can write poetry, solve coding errors, and summarize history. However, despite their fluency, they often lack the fundamental spark of what we consider true intelligence.

They are brilliant mimics that predict statistical patterns in text but do not actually understand the world or learn from it in real-time. A new research paper suggests that to get to the next level, we need to stop modeling language and start modeling the brain itself.

Borui Cai and Yao Zhao have introduced a concept they believe will bridge the gap between today’s chatbots and Artificial General Intelligence. Published in a preprint on arXiv, their research argues that existing foundation models suffer from severe limitations because they specialize in specific domains like vision or text. While a chatbot can tell you what a bicycle is, it does not understand the physics of riding one in the way a human does.

Explainable AI and turbulence: A fresh look at an unsolved physics problem

While atmospheric turbulence is a familiar culprit of rough flights, the chaotic movement of turbulent flows remains an unsolved problem in physics. To gain insight into the system, a team of researchers used explainable AI to pinpoint the most important regions in a turbulent flow, according to a Nature Communications study led by the University of Michigan and the Universitat Politècnica de València.

A clearer understanding of turbulence could improve forecasting, helping pilots navigate around turbulent areas to avoid passenger injuries or structural damage. It can also help engineers manipulate turbulence, dialing it up to help industrial mixing like water treatment or dialing it down to improve fuel efficiency in vehicles.

“For more than a century, turbulence research has struggled with equations too complex to solve, experiments too difficult to perform, and computers too weak to simulate reality. Artificial Intelligence has now given us a new tool to confront this challenge, leading to a breakthrough with profound practical implications,” said Sergio Hoyas, a professor of aerospace engineering at the Universitat Politècnica de València and co-author of the study.

Security vulnerability identified in EV charging protocol

Southwest Research Institute identified a security vulnerability in a standard protocol governing communications between electric vehicles (EV) and EV charging equipment. The research prompted the Cybersecurity & Infrastructure Security Agency (CISA) to issue a security advisory related to the ISO 15118 vehicle-to-grid communications standard.

Ethanol plant CO₂ can be converted into low-carbon jet fuel, study finds

Manufacturing sustainable aviation fuel with CO₂ byproducts of ethanol production could reduce carbon intensity by more than 80% compared to fossil fuels.

The CO2 released from corn during could actually be a valuable, underutilized resource for producing rather than a waste byproduct, according to a study published in the SAE International Journal of Sustainable Transportation, Energy, Environment, & Policy.

Unlike the CO₂ from or cement kilns, which requires a lot of energy to capture, fermentation to produce ethanol releases very pure streams containing 85% CO₂ by volume or higher. As the corn plants sequestered CO₂ from the air, capturing the CO₂ released from fermentation and using it as fuel would reuse CO₂ without adding more to the atmosphere.

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