When the fundamentals are in place—connected systems, clear ownership and stable processes—AI can start delivering real value ...
Count data modelling occupies a central role in statistical applications across diverse disciplines including epidemiology, econometrics and engineering. Traditionally, the Poisson distribution has ...
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, ...
Anthropic is testing a new AI model that has exhibited an unusual behavior during safety evaluations: it told testers it ...
Every few months, someone announces a new AI model trained on more data than the last one, and the AI community collectively ...
Researchers at Tsinghua University and Z.ai built IndexCache to eliminate redundant computation in sparse attention models ...
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 ...
Slator’s Data-for-AI Market Report identifies this shift as a structural change in the AI value chain, where competitive ...
How to Improve Cancer Patients ENrollment in Clinical Trials From rEal-Life Databases Using the Observational Medical Outcomes Partnership Oncology Extension: Results of the PENELOPE Initiative in ...