This new chip could help reduce our reliance on energy-hungry data centers
Reports and Proceedings
Updates every hour. Last Updated: 26-Oct-2026 20:16 ET (27-Oct-2026 00:16 GMT/UTC)
Insilico Medicine (“Insilico”; HKEX: 3696), a clinical-stage generative artificial intelligence (AI)-driven drug discovery company, today announced Longevity Vaccines, a research initiative developing treatments that direct a patient’s own immune cells to eliminate the earliest cellular drivers of age-related disease. This initiative expands the company’s dual-purpose, aging-oriented discovery strategy from small molecules into RNA-encoded, in vivo cell engineering.
Published in the International Journal of Extreme Manufacturing, researchers improved the balance of strength and ductility by using laser powder bed fusion to create alternating coarse- and fine-grained regions in a zinc–copper alloy.
Study compares three deep learning approaches for finding stroke lesions on contrast-free MRI, a step toward faster, more automated screening.
When someone may be having a stroke, every minute counts, and doctors often turn first to MRI scans that do not require an injected contrast dye; these are faster to obtain and more widely available in everyday clinical settings. The catch is that these contrast-free scans, known as FLAIR sequences, can be harder for computer programs to read automatically than more detailed scans, because the damaged brain tissue often shows up faintly, in irregular shapes, and looks somewhat different from one MRI machine to the next. A new study, published ahead of print in the Journal of Intelligent Systems in Current Computer Engineering, tested three different artificial intelligence approaches to see which handles this challenge best.
Chemical separation can be energy-intensive when molecules have similar sizes and properties. Researchers from Shibaura Institute of Technology, Japan, developed an interlayer adaptive crystal that changes its spacing to recognize specific molecules. The crystal showed appreciable CO₂ uptake at pressures as low as 2.0 Pa (195 K) and selectively separated CO₂ from nitrogen and methane at 303 K, even under highly humid conditions. It also preferentially captured benzene over several similar molecules, offering a new approach to molecular separation.
Topology imprinting of nonlinear metasurfaces is a new concept that enables replication and manipulation of structured light fields while preserving their topological characteristics across new frequencies. In a new study, researchers review this novel paradigm, discussing key experimental demonstrations, current limitations, and future research directions. The study highlights this concept as key for next-generation photonic platforms and its potential impact in different fields.