Abstract: In order to engage with large language models (LLMs) in a meaningful way, it is necessary to create prompts that are both instructive and precise. However, especially when working with ...

Medical free texts such as pathology reports contain valuable clinical data but are challenging to structure at scale. Traditional natural language processing approaches require extensive annotated ...

Breakthrough improvements to Microsoft's glass-based data-storage technology mean ordinary glassware, such as that used in cookware and oven doors, can store terabytes of data, with the information ...

This study presents a hybrid framework that integrates materials data with AI-extracted scientific knowledge, enabling uncertainty-aware discovery. Evidence about elemental substitutions in alloys is ...

Adding context to data has been a goal for enterprise communications – especially in the customer experience – for over a decade. Data without context is fragmented, which means it cannot be used to ...

As AI continues to dominate the technology landscape, the data underlying the information these artificial intelligence solutions train on is under more scrutiny than ever. According to Research ...

Mario Ramos was named the September winner of the South Florida Water Management District's Python Elimination Program. Ramos captured 34 invasive Burmese pythons, earning a $1,000 bonus. A total of ...

Leveraging Centralized Health System Data Management and Large Language Model–Based Data Preprocessing to Identify Predictors for Radiation Therapy Interruption This study presents a new method based ...

Instead of running Python scripts manually for routine tasks, why not automate them to run on their own, and at the time you want? Windows Task Scheduler lets you schedule tasks to run automatically ...