In many public healthcare systems, particularly in resource-constrained environments, time-series forecasting models offer a practical, interpretable, and evidence-based alternative (Stacey et al., ...

These third-party projects greatly expand the ways agents and LLMs can draw on facts, documents, and conversations to deliver ...

Zscaler found attackers using SEO poisoning and hidden prompts in malicious websites to manipulate AI agents into making cryptocurrency payments.

STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...

These are my go-to libraries for Python data crunching.

A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...

Every Python developer knows some or all of these libraries, because they’re stable, reliable, and excellent at what they do.

PyTorch version should be 0.3! For PyTorch0.4 or higher, the codes need to be modified. Now we have updated the code to >=Pytorch0.4. A new model named AAGCN is added, which can achieve better ...

Abstract: Detailed real-time simulation of power systems and components gains significant importance due to the increasing share of renewable energy sources and inverter-based generation in general.

Qualcomm confirmed a $3.92 billion all-stock deal to buy AI software startup Modular, paired with a Meta Platforms CPU ...

Attackers are actively exploiting path traversal and SQL injection in Langflow, LangGraph, and LangChain — below where your security tools look.