Discover how multivariate models use multiple variables for investment forecasting, risk analysis, and decision-making in ...

Discover what a Research Associate does, including key roles and career paths in financial services. Learn how they impact ...

Pramod Jain outlines why carbon storage decisions now hinge on subsurface modelling, and how trusted evidence shapes ...

If language is what makes us human, what does it mean now that large language models have gained “metalinguistic” abilities?

Ask five mortgage professionals to define “MISMO,” and you’re likely to hear five different answers …Data format.Investor ...

The Power Grid Model DS project extends the capabilities of the power-grid-model calculation core with a modelling and simulation interface. This is aimed at building data science software ...

A new artificial intelligence (AI)-based model called EchoPrime, trained on more than 10 times more data than existing models, appears to provide more comprehensive interpretation of echocardiograms, ...

For the better part of a decade, enterprises have been racing to build bigger models and gather more data, believing scale alone would unlock artificial intelligence at full capacity. Yet despite ...

Despite the remarkable success of end-to-end intelligent diagnosis methods, the shortage of available training data remains one of the most challenging issues in real industrial scenarios. In light of ...

Microsoft is moving more of the data governance workload to users, but says that this will lead to greater accountability and transparency. Microsoft Fabric users will soon face more work to set up ...

Meta unlikely to offer additional changes to its model, sources say European Commission has warned Meta of possible fines Meta has said it complies with Digital Markets Act Meta shares fall 1.7% on ...

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, ...