News

Science Daily5mon
Accelerating climate modeling with generative AI
"We emulated the atmosphere, which is one of the most important elements in a climate model," said Rose Yu, a faculty member in the UC San Diego Department of Computer Science and Engineering and ...
Smarter, faster AI models explored for molecular and materials discovery
Cornell researchers are demonstrating how artificial intelligence—particularly deep learning and generative modeling—can ...
Molecular modeling predicts fleeting phase where liquids rapidly switch between metal and nonmetal
A research team led by Prof. Pavel Jungwirth at the Institute of Organic Chemistry and Biochemistry of the Czech Academy of ...
Devdiscourse1d
Deep learning model outperforms baselines in wildfire forecasting
Researchers developed multiple architectures, including U-Net 2D and 3D CNNs, as well as a Vision Transformer (ViT), to ...
Science Daily11d
New model for more accurate landslide prediction
Engineers have developed a groundbreaking computational model to study the movement of granular materials such as soils, sands and powders. By integrating the dynamic interactions among particles, air ...
From landslides to pharmaceuticals: High-precision model simulates complex granular and fluid interactions
A research team from the School of Engineering at the Hong Kong University of Science and Technology has developed a new ...
The Atlantic4mon
Climate Models Can’t Explain What’s Happening to Earth
If given unlimited time, science could probably develop models that more fully captured what we’re watching play out. But by then it would be too late to do anything about it. Science is more ...
Ars Technica7mon
The more sophisticated AI models get, the more likely they are to lie
Early large language models like GPT-3 had a hard time answering simple questions about geography or science. They even struggled with performing simple math such as “how much is 20 +183.” ...