Some of the most encouraging results for reaction-enhancing catalysts come from one material in particular: tin (Sn). While ...

Floods are some of the most devastating natural disasters communities in the United States face, causing billions of dollars ...

Amid the global push for sustainable development, rising market demands have necessitated a multiregional, multiobjective, and flexible production model. Against this backdrop, this article ...

To flexibly and robustly handle diverse problems, AI systems can leverage dual-process theories of human cognition that ...

Illinois engineers fused ultrafast imaging with smart algorithms to peek at living brain chemistry, turning routine MRIs into ...

The Edge AI Software Market is projected to be valued at USD 1.95 billion in 2024 and reach USD 8.91 billion by 2030, growing at a CAGR ...

Using machine learning and math, a BYU student improved a key tool firefighters rely on during wildfire season ...

AI requires a lot of data, particularly for training models. The problem is that planar chips are unable to process all that ...

One project Monteleoni worked on uses machine learning algorithms to combine the predictions of the approximately 30 climate models used by the Intergovernmental Panel on Climate Change.

Traffic flow prediction plays a crucial role in Intelligent Transportation Systems (ITS), as it substantially enhances traffic management efficiency, alleviates congestion, and improves road safety.

To reach these conclusions, the researchers used a machine learning algorithm to catalog as many of the odd streaks as they could, creating a first-of-its-kind global Martian map containing some ...