By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.
Plenty of our childhoods had at least one math teacher who made the (ultimately erroneous) claim that we needed to learn to do math because we wouldn’t always have a calculator in our ...
Traditional computational electromagnetics (CEM) methods—such as MoM, FEM, or FDTD—offer high fidelity, but struggle to scale ...
Abstract: Graph neural networks (GNNs) are specifically designed for graph-structured data and have gained significant attention. However, training GNN on large-scale graphs remains challenging due to ...
Abstract: Missing node attributes pose a common problem in real-world graphs, impacting the performance of graph neural networks’ representation learning. Existing GNNs often struggle to effectively ...
A hands-on tutorial series for building LangGraph agents with local LLMs via Ollama. Each notebook teaches a concept from scratch - no cloud APIs required.
Photoshop tutorial showing how to transform an image into looking like a vintage, retro, analog-type lomograph. Why Congress can't claw back war powers from Trump With the penny going away, what ...
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