Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...

Python gives you far more control, and the ecosystem is stacked with libraries that can replace most no-code platforms if you ...

Overview: The lesser-known Python libraries, such as Rich, Typer, and Polars, solve practical problems like speed, clarity, ...

Meta’s most popular LLM series is Llama. Llama stands for Large Language Model Meta AI. They are open-source models. Llama 3 was trained with fifteen trillion tokens. It has a context window size of ...

While SAS has announced category champions today, the overall SAS Hackathon champion will be named at SAS Innovate 2026, the SAS data and AI conference, April 27-30, 2026, in Grapevine, Texas (near ...

Nov 14 (Reuters) - Global private equity firms Warburg Pincus and Permira are in talks to buy investment and accounting software maker Clearwater Analytics (CWAN.N), opens new tab, a source familiar ...

Adobe is warning its Analytics customers that an ingestion bug caused data from some organizations to appear in the analytics instances of others for approximately one day. Adobe disclosed the issue ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...

Have you ever found yourself wrestling with Excel formulas, wishing for a more powerful tool to handle your data? Or maybe you’ve heard the buzz about Python in Excel and wondered if it’s truly the ...

What if you could turn Excel into a powerhouse for advanced data analysis and automation in just a few clicks? Imagine effortlessly cleaning messy datasets, running complex calculations, or generating ...

This paper introduces a classification framework to analyze central bank communications across four dimensions: topic, communication stance, sentiment, and audience. Using a fine-tuned large language ...