For retailers and investors, the message is that consumers are still in the game—they’re just demanding a clearer value ...

In the evolving world of data architecture and analytics, Gopala Krishna Subraya Pai stands out as a thought leader whose ...

Scientists at the Department of Energy's Oak Ridge National Laboratory have created a new method that more than doubles computer processing speeds while using 75% less memory to analyze plant imaging ...

Algorithmic trading is also referred as black-box trading, automated trading, or algo-trading. It is a method that uses a computer program that follows a defined set of instructions or an algorithm to ...

Explore how UK tech startups target iGaming data analytics as operators focus on player insights and informed decision-making ...

Applied Analytics lecturer David Shilane examines how organizations move beyond analytics dashboards to embed data science ...

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 ...

In a study titled Recent Applications of Machine Learning Algorithms for Pesticide Analysis in Food Samples, published in the ...

Cardiovascular disease continues to be the leading cause of death worldwide. To save lives, constantly improving diagnostic ...

TL;DR: Predictive analytics influences day-to-day decisions once forecasts change behavior rather than sit inside ...

Price pressure has become less dominant, but concerns about job security are rising ...labor expectations matter more ...

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 ...