We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...

Researchers have developed a powerful new software toolbox that allows realistic brain models to be trained directly on data.

The experimental model won't compete with the biggest and best, but it could tell us why they behave in weird ways—and how ...

The TRM takes a different approach. Jolicoeur-Martineau was inspired by a technique known as the hierarchical reasoning model ...

The gpt-oss models are being tested for use on sensitive military computers. But some defense insiders say that OpenAI is ...

This study presents a phase-field crystal model that simulates AB-BA transitions in bilayer graphene, highlighting defect ...

You will be redirected to our submission process. In the field of data science and engineering, tensors have become an ...

Abstract: Sparse mobile crowdsensing (SMCS) achieves urban-scale environmental sensing by assigning tasks to workers in specific subareas and inferring global data from the collected information.

There is just something so irresistible about that $39 flight to Miami or a $19 ticket across Europe. It pops up on your ...

In her ASA Footnotes article, “Meeting the Moment: Why We Can’t Afford to Let Sociology Classrooms Become Places Where Hope Comes to Die,” Ashley C. Rondini (Franklin & Marshall College) points to ...

Abstract: Port scheduling, an important combinatorial optimization problem, plays a critical role in the operational efficiency of port companies. Current manual scheduling approaches often struggle ...