Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

A new framework restructures enterprise workflows into LLM-friendly knowledge representations to improve customer support automation. By introducing intent-based reasoning formats and synthetic ...

Pests that spread as a result of climate change pose an increasing threat to fruit farming and viticulture in Germany. Fraunhofer researchers are working with partners to develop methods for the early ...

X-ray tomography is a powerful tool that enables scientists and engineers to peer inside of objects in 3D, including computer ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

A research team has developed a new way to measure and predict how plant leaves scatter and reflect light, revealing that leaf optical behavior can be accurately inferred from measurable phenotypic ...

An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...

Confidential complaints filed by troops and their families reveal patterns of wrongdoing in the ranks that are hidden from ...

Explainable AI (XAI) exists to close this gap. It is not just a trend or an afterthought; XAI is an essential product capability required for responsibly scaling AI. Without it, AI remains a powerful ...

Discover the future of media buying with Agentic Advertising. We analyze the "two tracks" of development: containerized ...