When can we trust the results we get from AI, and when is learning impossible? Researchers have shown that there are some ...

Materials testing remains a cornerstone of engineering and manufacturing, ensuring that components and structures—from ...

Summary: A new study utilizes Koopman operator learning to prove that certain complex, chaotic systems have fundamental ...

Babies are tremendous learning machines, and key advances for AI may soon be found in the architecture of their little brains ...

Nearly a decade after the discovery of LHS 1140b, a rocky exoplanet in the habitable zone of a nearby low-mass star, a new study reveals that the object may have its own atmosphere.

Understanding the influence of quasiperiodicity on magnetic fluctuations could ultimately enable the design of materials with ...

While AI shows promise in healthcare, the way some AI tools are tested and approved doesn't generate much confidence.

Underground on Purdue University's campus is the only nuclear reactor of its kind in the U.S. Although used only for research ...

By combining high-tech chemical scanning tech with advanced machine learning, the system can detect the adulteration of food ...

AI is set to end medical and cosmetic testing since accurate models can now predict drug toxicity, organ damage and chemical hazards that experiments could never do before. And it is an opportunity ...

Samsung says opting out of Health AI training will not delete user records, but its consent warning still raises privacy and ...

Genomic surveillance—the process of monitoring and sequencing pathogens—is one of the most important tools for detecting ...