I'll explore data-related challenges, the increasing importance of a robust data strategy and considerations for businesses ...
Count data modelling occupies a central role in statistical applications across diverse disciplines including epidemiology, econometrics and engineering. Traditionally, the Poisson distribution has ...
It seems like everyone wants to get an AI tool developed and deployed for their organization quickly—like yesterday. Several customers I’m working with are rapidly designing, building and testing ...
The healthcare system is faced with a tsunami of incoming data. In fact, the average hospital produces roughly 50 petabytes of data every year. That’s more than twice the amount of data housed in the ...
Did you know that businesses using well-structured data models in Power BI can reduce their data processing time by up to 50%? The key lies in choosing the right schema. Whether you’re leaning towards ...
In the rapidly evolving landscape of modern manufacturing and engineering, a new technology is emerging as a crucial enabler-Data-Model Fusion (DMF). A recent review paper published in Engineering ...
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 ...
Earth observation data underpin climate science, disaster response, and environmental policy, yet inconsistent grid definitions often limit their accuracy and reuse. Researchers now present a unified, ...
Learn how Microsoft research uncovers backdoor risks in language models and introduces a practical scanner to detect ...
In its research, Microsoft detailed three major signs of a poisoned model. Microsoft's research found that the presence of a backdoor changed depending on where a model puts its attention. "Poisoned ...
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