Can metal-based nanoparticles generated by lasers help build smarter, more immersive electronics? In the latest issue of International Journal of Extreme Manufacturing, Jun-Gyu Choi and collaborators from Ajou University and Samsung Electronics present how laser ablation in liquids enables scalable, surfactant-free nanoparticle synthesis tailored for artificial sensory and neuromorphic devices. Their work marks a breakthrough in bridging material science and intelligent electronics, paving the way for high-performance, flexible, and human-like interfaces in the next wave of extended reality technologies.

Imagine teaching someone to draw complex, scientific diagrams by only describing the picture. That’s the idea behind CoSyn, a new tool from Penn Engineering and the Allen Institute for AI. CoSyn uses AI’s coding skills to generate scientific charts and diagrams, training data that helps open-source models learn to read text-rich, scientific images, from nutrition labels to medical diagrams. The result: open source AI systems that can read complex visuals — and even outperform proprietary models like ChatGPT and Gemini — while using less data and without raising copyright concerns, opening new doors for AI-aided scientific discoveries. 

Four EU projects – AD4GD, B-Cubed, FAIRiCUBE and USAGE –  have explored and documented the requirements for successfully building the GDDS and have published a joint policy brief, presenting a set of recommendations on data harmonisation, semantic interoperability, metadata management, data exchange and governance.