Machine learning models are usually complimented for their intelligence. However, their success mostly hinges on one fundamental aspect: data labeling for machine learning. A model has to get familiar ...

"At the team level we asked ourselves, how can we become a better support organization for our regulated industry customers ...

As social media becomes the core domain of information interaction in the era of big data, the emotional information contained in the vast amount of user-generated content provides an unprecedented ...

Princeton has firmly established its presence at the forefront of AI research — including transformative work in humanities scholarship.

The company open sourced an 8-billion-parameter LLM, Steerling-8B, trained with a new architecture designed to make its ...

Artificial intelligence systems are only as powerful as the data they are trained on. High-quality labeled datasets determine whether a model performs with precision or fails in production.

This study proposes a cross-species transcriptomic framework to predict vaccine reactogenicity, with implications for preclinical vaccine safety assessment. The findings show that mouse muscle ...

When Usha Bansal and Pinki Ahirwar — two names that exist only in a research prompt — were presented to GPT-4 alongside a ...

Pdf Translator announces the availability of a structured solution designed to translate english to amharic pdf documents ...

Researchers claim that leading image editing AIs can be jailbroken through rasterized text and visual cues, allowing prohibited edits to bypass safety filters and succeed in up to 80.9% of cases.

A marriage of formal methods and LLMs seeks to harness the strengths of both.

Labeling and annotation are the foundation of context setting and the invisible backbone of AI, which are quietly shaping the ...