As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...

Navigating the world of data analytics can often feel like solving a complex puzzle. If you’ve already dipped your toes into Power BI and are eager to dive deeper, you’re in the right place. This ...

Data modeling tools play an important role in business, representing how data flows through an organization. It’s important for businesses to understand what the best data modeling tools are across ...

Outbreak Labs, formerly FSID, joins Google’s GovTech FutureTech Series to showcase modelling and earth observation ...

OpenAI published a new paper called "Monitoring Monitorability." It offers methods for detecting red flags in a model's reasoning. Those shouldn't be mistaken for silver bullet solutions, though. In ...

OpenAI o1 is a new large language model trained with reinforcement learning to perform complex reasoning. o1 thinks before it answers—it can produce a long internal chain of thought before responding ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

In the age of advanced data analytics and artificial intelligence (AI), organizations are continuously confronted with new and increasingly complex challenges of data legitimacy. The proliferation of ...

Although large language models (LLMs) have the potential to transform biomedical research, their ability to reason accurately across complex, data-rich domains remains unproven. To address this ...