点击上方“Deephub Imba”,关注公众号,好文章不错过 !在深度学习落地过程中，有一个常见的误区：一旦推理速度不达标，大家的第一反应往往是拿着模型开到，比如：做剪枝、搞蒸馏、甚至牺牲精度换小模型。实际上生产环境中的 Python ...

This video gives you the fastest and easiest method to understand and sketch parabolas—no complex math required. We break it down step-by-step: finding the vertex, identifying the axis of symmetry, ...

Which language has the best loops? See for yourself, with our side-by-side (loop-for-loop) Python vs. Kotlin showdown. Find more stories in this week’s report.

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Abstract: As a promising strategy to achieve generalizable graph learning tasks, graph invariant learning emphasizes identifying invariant subgraphs for stable predictions on biased unknown ...

CrowdStrike Holdings Inc.’s Enterprise Graph solution is the company’s latest defense against cyberattacks fueled by agentic artificial intelligence. The innovation is part of the company’s new ...

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 ...

I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful. Every data point, every observation, every piece of knowledge doesn’t exist in ...

The graph database market, driven by AI, is growing at a rate of almost 25% annually. Graph databases support knowledge graphs, providing visual guidance for AI development. There are multiple ...