In an increasingly acute surgeon shortage, artificial intelligence could help fill the gap, coaching medical students as they practice surgical techniques.

A new tool, trained on videos of expert surgeons at work, offers students real-time personalized advice as they practice suturing. Initial trials suggest AI can be a powerful substitute teacher for more experienced students.

Deciphering true active sites under identical mass transport conditions is crucial for understanding catalytic mechanisms. By establishing uniform mass transfer and implementing controlled experiments to eliminate interfering factors, the research team identified Cu(100) grain boundaries as the key sites driving efficient C₂₊ production. Advanced characterization and theoretical calculations confirmed these sites facilitate asymmetric C–C coupling between *CHO and *CO intermediates, providing critical insights for rational catalyst design.

Co atoms are uniformly incorporated in NiS nanoparticles to fabricate homogeneous NiCoS cocatalyst on TiO₂ surface by a facile photosynthesis strategy. The optimized NiCoS/TiO₂(1:2) photocatalyst display the highest H₂ production performance, outperforming the NiS/TiO₂ and CoS/TiO₂ samples. The incorporated Co atoms break the electron distribution symmetry in NiS, thus essentially increasing electron density of S atoms to weaken S-H_ad bonds for efficient H_ad adsorption and desorption, endowing the NiCoS cocatalysts with a highly active H₂ evolution process. The integrated homogeneous NiCoS nanoparticles with TiO₂ could rapidly transfer photogenerated electrons and efficiently facilitate the interfacial H₂ evolution process, thus achieving enhanced photocatalytic H₂ generation activity.

The 0.1wt% ultra-low loading 0.1(PtMnFeCoNi)/TiO₂ high-entropy catalyst developed by our team reduces the complete conversion temperature of CO in sintering flue gas to 230℃. It resists interference from H₂O and SO₂, and based on in-situ characterization and theoretical calculations, reveals the multiple action mechanism of "high-entropy effect - support synergy - reaction pathway". It exhibits excellent catalytic performance in CO oxidation reactions and is an industrial catalytic material with broad application prospects.

Analysis led by University of Leicester shows the African continent lost approximately 106 billion kilograms of forest biomass per year between 2010 and 2017.

Machine learning was used to combine Earth observation data and on-the-ground forest measurements.

Findings underline the urgency of implementing the Tropical Forests Forever Facility announced at the COP30 Climate Summit in Belém in November to halt deforestation.

SMU Associate Professor He Shengfeng is working on the first-ever multilingual system suitable for Asia, with commercialization prospects.

SMU Assistant Professor Zhu Bin is leading research to build embodied AI systems that adapt their actions when the world around them changes.