Introduction Artificial Intelligence lives on data. Without data, large language models (LLMs) cannot learn, adapt, or make ...

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...

AI data trainers who ensure the accuracy and viability of training data going into AI models are well-compensated, in-demand professionals. Two new studies projected potential annual incomes ranging ...

A streamlined, automated process helps scientists coordinate site-ready production-level whole genome sequencing results.

A new study presents a zero-shot learning (ZSL) framework for maize cob phenotyping, enabling the extraction of geometric ...

In 2026, contextual memory will no longer be a novel technique; it will become table stakes for many operational agentic AI ...

The U.S. Army has established a new career pathway for officers to specialize in artificial intelligence and machine learning (AI/ML), ...

Corporate leaders are racing to hire artificial intelligence talent, convinced that a few high-profile specialists can transform their businesses overnight. Instead, many are discovering that without ...

Srinubabu Kilaru said Bringing version control and CI/CD into data pipelines changed how quickly we could respond to policy ...

Abstract: Deploying machine learning (ML) inference pipelines in databases become increasingly prevalent in many applications. In order to avoid data transfer between the database and ML runtimes, ...