Statistical test helps judge the value of personalization
Peer-Reviewed Publication
Updates every hour. Last Updated: 22-Oct-2026 15:16 ET (22-Oct-2026 19:16 GMT/UTC)
Researchers developed an evaluation procedure that tests generative AI models for harmful capabilities without generating outputs. This could enable auditors to identify open-source models that have been adapted to produce illegal content, like child sexual abuse material (CSAM).
New findings are shedding light on longstanding debates over the behavior of ferroelectric materials when those materials are exposed to electric fields. The findings stem from the use of a novel technique that allows researchers to observe the real-time behavior of domain walls in ferroelectric materials as they are “poled” and “depoled.”
Kyoto, Japan -- Japan is well known for its large earthquakes, but not all regions show the same patterns of earthquake activity. One way to understand which places tend to experience large or small earthquakes is the b-value, a key statistical measure long used by researchers for understanding seismicity and assessing earthquake occurrence patterns.
The b-value describes the relative numbers of small and large earthquakes in a given area. A high b-value means that small earthquakes are comparatively more frequent, whereas a low b-value indicates a relative increase in the proportion of larger earthquakes.
Many previous studies have suggested that b-values may decrease before -- or increase after -- large earthquakes, possibly reflecting changes in stress before and after rupture. Other studies have proposed that large earthquakes tend to occur in areas where b-values are low. Until now, however, it has remained unclear whether time-dependent changes or spatial differences are more important when comparing many large earthquake sequences.
Liquid crystals harness dynamic fluid lattice motion to activate topochemical polymerization beyond conventional geometric constraints, yielding recyclable polymers with dissipative fluorescence readout.