This free online event hosted by InfraTec will provide attendees with more information about lock-in thermography as a ...

In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...

The Chinese manufacturer said it developed a new circuit-model–based method to accurately detect hot-spot risks in TOPCon back-contact modules, overcoming limitations of the IEC 61215 approach caused ...

A relatively simple statistical analysis method can more accurately predict the risk of landslides caused by heavy rain, according to a study coordinated by Brazilian researchers affiliated with the ...

Abstract: Colored noise is quite common in the industrial field, posing difficulties to the parameter estimation of system identification. Moreover, missing measurements exacerbate these challenges.

Abstract: This study first establishes a three-dimensional transformer finite element simulation model. Subsequently, the equivalent parameters of windings are calculated using three finite element ...

The small and complicated features of TSVs give rise to different defect types. Defects can form during any of the TSV process steps, which include lithography patterning followed by deep reactive ion ...

New research has found that two types of weevils, common yet invasive beetles in many parts of the world, have been using epigenetic changes to adapt and respond to different toxins in the plants they ...

Is your AI model secretly poisoned? 3 warning signs ...

Recent advancements in quantum sensing show how to navigate the Heisenberg Uncertainty Principle, improving sensitivity for ...

Learn how Microsoft research uncovers backdoor risks in language models and introduces a practical scanner to detect tampering and strengthen AI security.

Mouse primary motor and somatosensory cortices contain detailed information about the many time-varying arm and paw joint ...