Researchers have discovered the first known Android malware to use generative AI in its execution flow, using Google's Gemini ...

The framework predicts how proteins will function with several interacting mutations and finds combinations that work well ...

In biomedical modeling, the integration of mechanistic and data-driven approaches is reshaping how we interpret and predict complex biological phenomena.

Isomorphic Lab’s proprietary drug-discovery model is a major advance, but scientists developing open-source tools are left ...

Explore advanced physics with **“Modeling Sliding Bead On Tilting Wire Using Python | Lagrangian Explained.”** In this tutorial, we demonstrate how to simulate the motion of a bead sliding on a ...

OpenFPL-Scout-AI is an AI-powered Fantasy Premier League Scout that uses ensemble machine learning (Linear Regression, XGBoost, CatBoost) to predict player points and optimize FPL team selection. It ...

Abstract: Efficient research and development (R&D) workflows are critical in industries where early-stage results influence downstream outcomes. This study develops a predictive model to enhance R&D ...

Clinical prediction in acute stroke often relies on structured variables, yet radiology reports contain high-value descriptors that are difficult to quantify at scale. This study evaluated whether ...

Create a virtual environment: python -m venv .venv ..venv\Scripts\Activate.ps1 Install dependencies: pip install -r requirements.txt Run: python main.py --match-id 123 ...

Abstract: With the rapid increase in integrated circuit chip frequencies, the complexity of electromagnetic interference issues and the time-consuming nature of traditional pin mapping (pinmap) design ...