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Sun-tracking solar panels fold away from hail while lifting output nearly 40%

Researchers led by Armin Buchroithner from the Institute of Electrical Measurement and Sensor Systems at TU Graz have developed an innovative photovoltaic system that combines significantly higher output with protection from storms, hail and snow. The system, known as FLAPTrack (Face-to-Face Lay-Down Anti-Degradation Protection), continuously aligns the PV modules with the sun's position both horizontally and vertically.

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A better way to turn 2D designs into 3D models for rapid prototyping

Engineers often use vision-language models to produce new designs, such as airplane or automobile components. To simulate how those components will perform in realistic situations, they'll use tried-and-true computer-aided design (CAD) software to generate 3D models of those designs, which they can put through virtual crash or durability tests.

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AI-powered election forecasts reveal hidden preferences inside language models

An international research team involving the University of Bayreuth has, for the first time, analyzed the "inner workings" of AI language models when predicting political voting decisions. To do so, the researchers examined six national elections and AI-based election forecasts and developed a new method for making more precise predictions. They presented their findings at the International Conference on Machine Learning (ICML 2026) in Seoul, South Korea.

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For energy systems that power a reliable grid and avoid blackouts, the future is all about location

Will a warming climate and changing weather patterns lead to more grid blackouts and other energy disruptions? Answering that question requires studying both regional climate forecasts and local energy systems, including emerging renewable generation, storage, transmission lines and demand forecasts. The lack of such studies is one reason energy developers and grid operators rarely consider climate change when deciding where to build their next project.

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Human-machine learning boosts noninvasive brain-computer control in untrained users

Implantable devices in the brain have been used for about 30 years to assist people with disabilities in completing motor tasks. However, the devices are simply not accessible to the vast majority of people who need help. Despite decades of work in this field, fewer than 100 people worldwide have benefited from the technology. The costs are prohibitive, and the brain surgeries are inherently risky.

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AI remains unreliable as one-size-fits-all code security tool, comparison finds

For a paper published in the International Journal of Applied Cryptography, a team compared 11 leading large language models (LLMs) for software security. They found that no single system consistently outperforms its rivals in detecting vulnerabilities. This, they suggest, means organizations must select such tools according to the specific software they are analyzing.

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Precision interface chemistry pushes perovskite solar cells beyond 26% efficiency

An international research collaboration has developed a new molecular strategy for controlling one of the most critical interfaces in perovskite solar cells. The resulting solar cells reached a power conversion efficiency of 26.19% in the n-i-p architecture, together with strong operational stability under prolonged illumination and elevated temperature. The results have been published in the Journal of the American Chemical Society.

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Snapping knits turn fabric into switches that count steps and light LEDs

Knitting has come a long way from sweaters and blankets. Researchers at the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) have turned everyday knitting into a powerful platform for making shape-shifting devices that can act as switches, sensors and moreβ€”paving the way for next-generation functional, programmable textiles.

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