Overview: Python MCP Servers make it easy to connect Large Language Models (LLMs) securely with real-world data and ...
Abstract: Decision tree boosting algorithms, such as XGBoost, have demonstrated superior predictive performance on tabular data for supervised learning compared to neural networks. However, recent ...
This paper describes Unbend - a new method for measuring and correcting motions in cryo-EM images, with a particular emphasis on more challenging in situ samples such as lamella and whole cells. The ...
Each of these browsers has a different take on what it means to integrate — or build a browser around — generative AI, but a ...
Abstract: Control barrier functions (CBFs) ensure the safety of controlled dynamical systems by enforcing forward invariance of safe subsets of the state space. First-order CBFs are applicable for ...
Feature scaling is a crucial preprocessing step in machine learning, ensuring that different features contribute equally to the model's performance. By transforming data to a similar scale, we prevent ...
The programming scenarios demonstrate that the output resulting from an input of 17 can be incredibly diverse and depends ...
OMX 333iUNI isolated, universal input signal conditioner is control-programmable, and can be configured to use one of 10 input types including DC voltage, current, RTDs, thermocouples (T/C) and ...
Fixed-Dimensional Encoding (FDE) solves a fundamental problem in modern search systems: how to efficiently search through billions of documents when each document is represented by hundreds of vectors ...
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