In the past, experts have pointed out that it is possible for personal data to be extracted from LLMs by submitting the right ...

Google DeepMind researchers have a new way to take toxic data and clean it for AI training. It could prove to be a powerful ...

Imagine you are developing antibodies—drugs precisely aimed at a target, for example a viral protein or onco-marker. You test a series of antibodies and find that some work, while others do not.

The AI models, which are built on massive datasets and can be adapted to multiple tasks, have become a part of medtech ...

A team of computer scientists at UC Riverside has developed a method to erase private and copyrighted data from artificial ...

The definition of “AI readiness” is evolving as increasingly sophisticated agents demand rich, contextualized data grounded in business operations to deliver meaningful results. What sets leaders ...

Even as large language models have been making a splash with ChatGPT and its competitors, another incoming AI wave has been quietly emerging: large database models. Even as large language models have ...

On September 11, at the 2025 Bund Conference, Wang Xingxing, founder of Yushu Technology, stated that data and model architecture are equally important. However, there is currently a lack of clear ...

For many years, Sree Hari Subhash has been a data engineer who has built and implemented artificial intelligence in many ...

AI is reshaping brand engagement, but its effectiveness relies on high-quality, curated data, a significant challenge for ...

Bankruptcy prediction has traditionally relied on statistical approaches such as Altman’s Z-score, which use financial ratios ...

A study published in JCO Clinical Cancer Informatics demonstrates that machine learning models incorporating patient-reported outcomes and wearable sensor data can predict which patients with ...