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New Expert Consensus Provides Update to Cardiac CT Medical Terminology

The Society of Cardiovascular Computed Tomography (SCCT) released an expert consensus document standardizing medical terminology commonly used in clinical and research activities related to cardiac computed tomography (CT), providing an update to guidance published 12 years ago by the society in the Journal of Cardiovascular Computed Tomography (JCCT). “Standardized Medical Terminology for Cardiac Computed Tomography […]

MIT Researchers Introduce A Novel Lightweight Multi-Scale Attention for on-Device Semantic Segmentation

The goal of semantic segmentation, a fundamental problem in computer vision, is to classify each pixel in the input image with a certain class. Autonomous driving, medical image processing, computational photography, etc., are just a few real-world contexts where semantic segmentation can be useful. Semantic segmentation is an example of a dense prediction task that […]

Semantic Technologies Demystified the Future of Data and AI

Semantic technologies or the fusion of linguistics, data science, and computer science have the potential to unlock the true power of data and AI by enabling machines to comprehend and reason about the world like never before. At its core, semantics refers to the study of meaning in language and how words, phrases, and symbols […]

The Crucial Role of Ontology in API Development within a Composable Enterprise

The concept of a composable enterprise is gaining significant traction. It is one that has the benefit of flexibly combining various business functions and services using Application Programming Interfaces (APIs) to create innovative solutions quickly and efficiently. One of the foundational elements that power the success of a composable enterprise is ontology. Within a composable […]

Are Ontologies still Relevant in the Age of LLMs?

Through high-quality foundational data management, where ontologies play a crucial role, an organization can be agile enough to adapt to and make use of state-of-the-art technologies such as large language models (LLM). An LLM is a sophisticated, generative, artificial intelligence (AI) model designed to understand and generate human-like text. Trained on monumental amounts of data, […]

IAB Tech Lab Releases Product Taxonomy 2.0

As the industry continues to invest in brand safety and refined contextual advertising solutions, the updated taxonomy delivered by IAB Tech, Ad Product Taxonomy 2.0, has been released for public comment and once adopted, will significantly improve the programmatic ecosystem. While much attention has shifted to safety in AI, the online advertising industry has for […]

UK Taxonomy Group Advises Government to Diverge from EU Approach

The Green Technical Advisory Group (GTAG), which is helping the UK government decide which elements of the EU taxonomy rules to keep and which to rewrite in its national version, has suggested changes to the key performance indicators (KPIs) to make the framework more useful and useable. GTAG has recommended that the government keeps the […]

When using LLMs in Healthcare, Semantic Interoperability is Key

As the healthcare industry seeks novel ways to gain greater value from both unstructured and structured clinical data, many are curious how large language models (LLMs) – like ChatGPT, for example – could help. However, as the excitement builds over how to best use augmented intelligence (AI), stakeholders must understand how these tools work and […]

A Regional Asian Green Standard Would Help Unlock Trillions

Hopes for a net-zero future hinge on raising enough green finance. There are promising signs, particularly in emerging markets, where the issuance of bonds linked to environmental, social, and governance (ESG) criteria climbed from $66 billion in 2020 to almost $200 billion in 2021. Green bonds are a popular ESG instrument in Asia and the […]

Beyond Data Science: A Knowledge Foundation for the AI-ready Enterprise

Data scientists are busy enough with statistical machine learning models and doing the data prep needed to create useful models. And data engineers are consumed with creating pipelines and tapping and making accessible the resources the data scientists and others need. The specialists staffing these roles are too focused on their own disciplines to worry […]