From the beginning of the digital age, we’ve looked to our computers for answers. Nowhere is this so evident as in the computer science discipline known as question answering, or QA. Overlapping the ...

Large language models (LLMs) can generate credible but inaccurate responses, so researchers have developed uncertainty quantification methods to check the reliability of predictions. One popular ...

This research combines deep learning, visual question answering (VQA), and informed learning to bridge the gap between human-level understanding and machine-driven crop diagnostics. ILCD integrates a ...

Enhancing Readability of Lay Abstracts and Summaries for Urologic Oncology Literature Using Generative Artificial Intelligence: BRIDGE-AI 6 Randomized Controlled Trial The recent advancements of ...

A recent study published by Nature says newer, bigger versions of the three major artificial intelligence chatbots may be more likely to generate wrong answers than claim that they don’t know.

Microsoft announced a new conversational question answering model that outperforms other methods, answering questions faster and accurately while using significantly less resources. What is proposed ...

The new family of models comes as Meta works to strip bias from its AI and ensure it can engage with controversial topics.