Nuke 17.0 adds native Gaussian Splats, USD 3D system and BigCat machine learning to Foundry’s compositing pipeline.

Abstract: This article presents a graph theory-informed approach to state estimation-based model selection for identifying the operational topology of a power distribution system. The proposed method ...

The increasing network integration of industrial control systems amplifies the risk of cyberattacks on Programmable Logic Controllers (PLCs). In particular, the weak authentication of industrial ...

Unique to the cognitive inhibition graph are regions LH_DefaultA_pCunPCC_1 (left posterior cingulate cortex/precuneus), LH_DefaultB_PFCd_1 (left dorsal prefrontal cortex 1), and LH_DefaultB_PFCd_3 ...

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 ...

If you’re new to Python, one of the first things you’ll encounter is variables and data types. Understanding how Python handles data is essential for writing clean, efficient, and bug-free programs.

CEO Sam Altman called a strange graph in its GPT-5 presentation a ‘mega chart screwup.’ CEO Sam Altman called a strange graph in its GPT-5 presentation a ‘mega chart screwup.’ is a senior reporter ...

In this tutorial, we’ll show how to create a Knowledge Graph from an unstructured document using an LLM. While traditional NLP methods have been used for extracting entities and relationships, Large ...

This repository contains the code and data used for the paper "Graph Neural Networks For Mapping Variables Between Programs", accepted at ECAI 2023. We present a novel graph program representation ...

In this tutorial, we demonstrate how to construct an automated Knowledge Graph (KG) pipeline using LangGraph and NetworkX. The pipeline simulates a sequence of intelligent agents that collaboratively ...