Technical traders have long searched for distinctive shapes in stock-price charts in order to predict returns. As artificial intelligence systems become better and better at recognizing visual ...

It's a commonplace of artificial intelligence to say that machine learning, which depends on vast amounts of data, functions by finding patterns in data. The phrase, "finding patterns in data," in ...

Having developed many end-to-end machine learning (ML) and artificial intelligence (AI) systems as an AI scientist, AI product owner or chief scientist, I’ve seen how software engineering ...

Algorithm updates like Google Panda are more understandable when you grasp the basics of machine learning. Here’s a simplified breakdown of how search engines are able to use machine learning for ...

Bringing knowledge graph and machine learning technology together can improve the accuracy of the outcomes and augment the potential of machine learning approaches. With knowledge graphs, AI language ...

Meet MLPerf, a benchmark for measuring machine-learning performance MLPerf benches both training and inference workloads across a wide ML spectrum.

The paper elaborates on a technique for using knowledge graphs with machine learning; specifically, a branch of machine learning called reinforcement learning.

Emerging graph database benchmarks are already helping to overcome performance, scalability and reliability issues.