We've all heard the explanations for why AI projects fail: the models aren't advanced enough, they don't remember past interactions, they hallucinate answers — the list goes on. However, those ...

Objectives The main objective of this study was to explore and describe perceived risk of women towards Human Papillomavirus (HPV) infection and cervical cancer (CC) in Adama, Ethiopia. Perception of ...

What if you could transform the chaos of unstructured data into actionable insights with just a few tools? Imagine an AI-powered system that not only understands your documents, spreadsheets, and PDFs ...

In this TechRepublic exclusive, a COO states that successful AI initiatives must have the right unstructured data at the right time. Then, she details the proper unstructured data preparation for AI.

Data scientists today face a perfect storm: an explosion of inconsistent, unstructured, multimodal data scattered across silos – and mounting pressure to turn it into accessible, AI-ready insights.

I go to data conferences. Frequently. Almost always right here in NYC. We have lots of data conferences here. Over the years, I’ve seen a trend — more and more emphasis on AI. I’ve taken to asking a ...

What’s the best way to store, search, and analyze content not based on their technical characteristics but on their meaning? The volume of data being created today is truly staggering. IDC projects ...

Applying gen AI to solve useful problems at scale requires a paradigm shift in how we think about data management and integration. Krishna Subramanian, COO and co-founder of Komprise, walks through ...

Abstract: Dataflow management provides limited performance improvement to the transformer model due to its lesser weight reuse than the convolution neural network. The cosFormer reduced computational ...