Researchers at Duke University built one of the first large-scale datasets of stablecoin transfers and used it to train machine-learning models that flag suspicious cryptocurrency wallets. Published in the Blockchain Journal, the study detects illicit activity with high accuracy and, importantly, tells apart different types of criminal behavior, helping compliance teams act on real threats while sparing innocent users from frozen assets.

A research team led by Professor Yong Taik Lim at the SKKU Advanced Institute of Nanotechnology (SAINT), Sungkyunkwan University (first author: Ph.D. candidate Jin-Ho Choi), announced the development of an engineered nanoplatform named t-SMC (trained immunity-mediated splenic myelopoiesis converter), which precisely targets the spleen to reverse splenic myelopoiesis toward an antitumoral immune phenotype.

In environments with similar objects, autonomous robots must determine whether a detected object is a known landmark or a newly encountered one while mapping. To mitigate associated limitations, a research team developed BPDA-GMM, a Bayesian framework, that handles both data association and landmark creation simultaneously using accumulated evidence. Tests demonstrate that the approach enhances trajectory accuracy and object mapping while maintaining real-time performance on embedded hardware. 

Researchers at the University of Osaka used cyclic PPS manufacturing by-products as movable molecular crosslinks in biodegradable PCL. Medium-sized c [7] PS rings approximately doubled toughness while slowing enzymatic degradation, whereas larger c [9] PS rings accelerated degradation to no residual film mass after 48 hours. The findings identify molecular ring size as a design parameter for tuning material lifetime while also offering a waste-to-value route toward more sustainable polymer systems with programmable properties.

Cambridge, Mass., September 3, 2026 — Insilico Medicine ("Insilico", HKEX: 3696), a clinical-stage drug discovery company powered by generative artificial intelligence (AI), announced that it will be included in the HKEX Tech 100 Index, following the methodology enhancements to broaden the exposure to “emerging technology trends, including opportunities across the AI value chain”, announced on 18 August 2026. All changes will be implemented after the market close on 11 September 2026 (Friday) and take effect on 14 September 2026 (Monday).

- KAIST and Samsung Electronics have developed a new, long-lasting catalyst based on ‘entropy stabilization,’ a principle in which mixing multiple metal atoms together actually stabilizes the catalyst’s structure

- Boosts CF₄ decomposition performance 2.3 times over conventional catalysts — retains 92% activity even after 150 hours at 800°C

- Tracks the migration pathway of oxygen atoms to provide the first experimental evidence for a CF₄ decomposition mechanism that had previously only been proposed in theory

University of Washington researchers gathered eight kids on campus to explore how they played with AI toys. The kids initially were curious, asking introductory questions, such as “What is your name?” But after communication breakdowns, the kids turned to antagonizing the toys, calling them “ugly” and “evil” and joking about throwing them in the ocean.