You can connect your sensor over the provided USB cable. For special setups check out the sensor pinout in the section below.

Abstract: Graph Convolutional Networks (GCNs) have been widely studied for attribute graph data learning. In many applications, graph node attributes/features may contain various kinds of noises, such ...

LinkedIn Is Using More User Data Than Ever to Train Its AI. Here's How to Opt Out As of Nov. 3, LinkedIn is now using data from members in the EU, EEA, Switzerland, Canada, and Hong Kong to train its ...

Nigel Drego, Co-founder and Chief Technology Officer at Quadric, presented the “ONNX and Python to C++: State-of-the-art Graph Compilation” tutorial at this year’s Embedded Vision Summit. Quadric’s ...

Graphs and data visualizations are all around us—charting our steps, our election results, our favorite sports teams’ stats, and trends across our world. But too often, people glance at a graph ...

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 ...

If your brand is driving against some aggressive advertising goals in 2025 and 2026, real-time consumer data can supercharge your game plan. While utilizing up-to-the-minute data might seem like a ...

Functions are the building blocks of Python programming. They let you organize your code, reduce repetition, and make your programs more readable and reusable. Whether you’re writing small scripts or ...

NPR's Adrian Ma speaks to Sam Levine, former director of the FTC's Bureau of Consumer Protection, now at UC Berkeley, about the use online data to charge some customers more for products and services.

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I'm an independent creator passionate about building useful tools, simulations, and theories that make complex ideas more accessible. I explore the intersection of technology, education, and human ...