AI-enabled research tools can accelerate health research, but their data-science roots may clash with epidemiological ...

Abstract: This paper presents a novel approach to practical nonlinear model predictive control (PNMPC) using Kolmogorov–Arnold networks (KANs) as prediction models. KANs are based on the ...

Here's how predictive inventory management works, and how ecommerce brands how to use these tools to enhance operations.

A CBBL research team led by Professor Balachandran Manavalan from the Department of Integrative Biotechnology at Sungkyunkwan ...

The process of continually tracking equipment and asset health gives operations a foundation for establishing predictive maintenance strategies by enabling early detection of potential issues before ...

For nearly a decade, the idea that “the body keeps the score” has shaped public and clinical understanding of trauma (van der Kolk, 2014). It is an enticing metaphor—implying that experience is ...

kDepartment of Medicine (Biomedical Informatics), Stanford University, Stanford, CA, USA lDepartment of Biomedical Data Science, Stanford University, Stanford, CA, USA ...

A small group of unauthorized users have accessed Anthropic PBC’s new Mythos AI model, a technology that the company says is so powerful it can enable dangerous cyberattacks, according to a person ...

Abstract: A key open challenge in agile quadrotor flight is how to combine the flexibility and task-level generality of model-free reinforcement learning (RL) with the structure and online replanning ...