Financial crime fighter Quantexa raises $153 million - Tech.eu
As our world grows increasingly digital, for all the good, there’s also all the bad. Financial criminals are no longer stuffing suitcases and running the goods through “legitimate” businesses; they’re taking down significant portions of financial institutions with a few strokes of the keyboard. According to EY, “The estimated annual cost of money laundering and […]
I wrote on this topic way back in 2016, but when a recent reader indicated that the original article didn't have images anymore (it happens), it seemed like a good opportunity to write about it again. I am Kurt Cagle, or, according to my birth certificate, Kurt Alan Cagle.
Knowledge Modelling and Active Learning in Manufacturing
The increasing digitalization of the manufacturing domain requires adequate knowledge modeling to capture relevant information. Ontologies and Knowledge Graphs provide means to model and relate a...
Who will be discussing about "#AI at a Crossroad: Another Winter, or a New Third Wave?"
As organizer of the WAIC European Online Forum, Expand.hk would like to thank six distinguished speakers: Gadi Singer, Walid Saba, Dr. Keith Duggar, ...
Best Approaches for Using and Extending FIBO Vocabulary
Step by step examples for working with and evolving FIBO Vocabulary. Includes analysis of different option and a download file for the recommended approach.
Colby Wise on LinkedIn: Netflix Research | 58 comments
I'm excited to share that I've joined the #netflix Content Data Science & Engineering, leadership team! In my new role, I'll be leading the Content Knowledge... 58 comments on LinkedIn
Semantic knowledge graph representing the SFI Coding and Classification System in cooperation with the Norwegian Maritime Authority and SpecTec
This summer I've been mentoring two summer interns at Capgemini, Stian Teien and Andreas Mathisen. They have been working on a semantic knowledge graph...
7 Open Source Libraries for Deep Learning Graphs - DZone AI
In this article, we introduce Deep Learning Graphs and go through 7 up-and-coming open-source libraries for graph deep learning, ranked in order of ...
he high-performance graph database solution provider, Ultipa, secures $21M in Series-A financing led by a well-known sovereign fund, and its angel investor, CM
Benedek Rozemberczki on LinkedIn: AstraZeneca/awesome-explainable-graph-reasoning
Interested in explainability for graph neural networks? Check out this list created by our team in AstraZeneca (Gavin E. and Sebastian Nilsson)! https:...
Deep Learning on Graphs for Natural Language Processing tutorial
Deep Learning on Graphs for Natural Language Processing (DLG4NLP) is a very fast-growing area in recent years. Welcome to attend our DLG4NLP tutorial...
This article is an introduction into a field of graph-based code analysis. We will discuss a base concept of graph-based code analysis and learn how to build a Codebase Knowledge Graph (or Code Knowledge Graph or simply CKG) for a .NET Core project using Strazh.
Rating and aspect-based opinion graph embeddings for explainable...
The success of neural network embeddings has entailed a renewed interest in
using knowledge graphs for a wide variety of machine learning and information
retrieval tasks. In particular, recent...
6 opportunities from knowledge-infused learning for autonomous driving
Using knowledge-infused learning to integrate knowledge graphs and machine learning can lead to improvements in autonomous driving. Six grand opportunities.
Graph Database Startup Vesoft Seeks Funds at $1 Billion Value
Vesoft Inc. is planning a new funding round that could bolster the Chinese graph database technology startup’s valuation to almost $1 billion, according to its founder and Chief Executive Officer Sherman Ye.
A graph placement methodology for fast chip design
Machine learning tools are used to greatly accelerate chip layout design, by posing chip floorplanning as a reinforcement learning problem and using neural networks to generate high-performance chip layouts.