Molecular machine learning (ML) underpins critical workflows in drug discovery, material science, and catalyst optimization ...

Learn how large language models like ChatGPT make knowledge graph creation accessible, revealing hidden connections in your ...

Three recent studies by data-engineering specialist Swaminathan Sethuraman map out an efficiency agenda for the next ...

To overcome the complexity of deploying agentic AI at scale, organisations must mix and match capabilities, understand key ...

Today, nearly everyone is a user of generative AI in one way or another. Even if you don't actively use GenAI, you're ...

Yet in a crude analogy, the same general sort of thing is plausible in the digital world of encrypted data. Computer ...

New AI-first browsers promise to revolutionize how we surf the Chrome-dominated web. Here's why the insurgents might actually have a shot this time.

Abstract: Graph Representation Learning has experienced significant progress as a means to extract structural information in a meaningful way for subsequent learning tasks. Current approaches ...

In this paper we propose a graph representation learning technique on weighted and dynamic graphs ... We evaluate our proposed approach on the link prediction task on two real-world datasets, ...

Six candidates are running for four four-year terms on the Parkland School Board. Here are their responses to an issues questionnaire.