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Ainos outlines strategy to digitize smell as native data language for AI

Ainos (AIMD) released a statement from CEO Eddy Tsai, outlining the Company’s long-term platform strategy to digitize smell as a native data ...

ePRO Translation and Global Trials: Language Scientific Examines Data Quality at Scale

December 31, 2025 – PRESSADVANTAGE – Language Scientific is highlighting the growing role of electronic Patient-Reported Outcomes (ePRO) translation in shaping data quality across global clinical ...
NERDBOT

How AI Data Matching Works: From Search Query to Perfect Dataset

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

AI Needs Data and When Will We Start Running Out of Data?

In 2022, there were projections predict that we will have exhausted the stock of low-quality language data by 2030 to 2050, high-quality language data before 2026, and vision data by 2030 to 2060.

Ainos, Inc.: Ainos Articulates Its Platform Strategy to Digitize Smell as the Next Native AI Data Language

Ainos at the Edge, ScentAI Scaling AI Intelligence HOUSTON, TX / ACCESS Newswire / January 2, 2026 / Ainos, Inc. (NASDAQ:AIMD)(NASDAQ:AIMDW) today released a statement ...
VentureBeat

The secret to making language models useful

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now If you described your symptoms to me as a ...
Computerworld

What are LLMs, and how are they used in generative AI?

Large language models are the algorithmic basis for chatbots like OpenAI's ChatGPT and Google's Bard. The technology is tied back to billions — even trillions — of parameters that can make them both ...