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 ...
A CBBL research team led by Professor Balachandran Manavalan from the Department of Integrative Biotechnology at Sungkyunkwan ...
A recent Minnesota Pollution Control Agency report found that climate change could cost Minnesotans more than $20 billion a ...
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 ...
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 ...
A modern MCP server that enables AI agents to control terminal sessions through persistent tmux-based sessions. Features real-time web interface for direct user access, comprehensive security controls ...
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