Women see AI as riskier than men do
Peer-Reviewed Publication
Updates every hour. Last Updated: 23-Jan-2026 06:11 ET (23-Jan-2026 11:11 GMT/UTC)
Hydrogen fuel cell heavy-duty trucks offer a cleaner alternative to diesel transport, but public support is essential for large-scale adoption. In a new study, researchers surveyed households in South Korea to measure willingness to pay for expanding hydrogen truck deployment. The results show strong public acceptance, with benefits exceeding carbon reduction costs, indicating the policy is socially profitable and supports long-term low-carbon transport transitions under national climate policy goals frameworks.
A new artificial intelligence (AI) method called BioPathNet helps researchers systematically search large biological data networks for hidden connections – from gene functions and disease mechanisms to potential therapeutic approaches. BioPathNet was developed by teams at Helmholtz Munich and Mila – Quebec Artificial Intelligence Institute in Montreal, Canada. The researchers are now presenting the method in the journal Nature Biomedical Engineering.
Researchers developed ShapKAN, a deep learning model integrated into the AI4Min-PE platform (http://pe.ai4mineral.com), enabling instant prediction and visualization of key thermodynamic parameters up to 500 GPa. This open AI tool supports the discovery of new chemical behaviors of minerals and elements under extreme conditions.
High-density tactile sensor arrays are essential for next-generation electronic skins, yet increasing array density inevitably amplifies lateral strain–induced mechanical crosstalk, which severely undermines signal stability, recognition reliability, and long-term service performance—particularly in dynamic applications such as Braille reading. Here, researchers report a capacitive tactile array incorporating a gradient-modulus strain isolation layer that decouples mechanical functions along the thickness direction, effectively suppressing nonlocal strain transfer while maintaining high sensitivity. Guided by quantitative structural design principles supported by simulation and experiment, the device achieves a sensitivity of 3.92 kPa⁻¹ with a crosstalk coefficient of only 4.39%. Integrated into a “sliding–recognition–speech” Braille platform, it achieves 100% static and 99% dynamic recognition accuracy while reducing false triggers by over 70%. This work demonstrates that structural suppression of mechanical crosstalk is a powerful pathway to ensuring the stable, reliable operation of high-density electronic skins and offers a scalable design strategy for future assistive tactile perception technologies.