A new study led by the Wildlife Conservation Society (WCS) finds that artificial intelligence (AI) models are providing more accurate and more hopeful predictions for the future of coral reefs amid climate change. Findings ...
Understanding molecular diversity is fundamental to biomedical research and diagnostics, but existing analytical tools struggle to distinguish subtle variations in the structure or composition among biomolecules, such as ...
For years, we believed the Himalayas were a climatic sanctuary—untouched, pristine, and resilient to the turbulence of modernization. But what happens when mountain cities begin to mimic the dynamics of megacities in the ...
When machine learning is used to suggest new potential scientific insights or directions, algorithms sometimes offer solutions that are not physically sound.
As the world becomes more interconnected, some plants have benefited from a greater ease in movement from one region to another, while some have become problematic. Some introduced species gain a competitive edge, spreading ...
After Christmas dinner in 2021, our family was glued to the television, watching the nail-biting launch of NASA's US$10 billion (AU$15 billion) James Webb Space Telescope. There had not been such a leap forward in telescope ...
In the hunt for new therapeutics for cancer and infectious diseases, lasso peptides prove to be a catch. Their knot-like structures afford these molecules high stability and diverse biological activities, making them a promising ...
Griffith researchers built and tested a digital archaeology framework to learn more about the ancient humans who created one of the oldest forms of rock art, finger fluting.
Imagine being able to program materials to control heat like you can control a light with a dimmer switch. By simply squeezing or stretching the materials, you can make them hotter or colder.
Modelers have demonstrated that artificial intelligence (AI) models can produce climate simulations with more efficiency than physics-based models. However, many AI models are trained on past climate data, making it difficult ...
