GPT-5.2 Pro delivers a Lean-verified proof of Erdős Problem 397, marking a shift from pattern-matching AI to autonomous ...

To speed up computation, deep neural networks (DNNs) usually rely on highly optimized tensor operators. Despite the effectiveness, tensor operators are often defined empirically with ad hoc semantics.

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Abstract: Social media is a pivotal aspect of modern communication, influencing how individuals connect, share, and engage. This study investigates its effects on mental well-being through the ...

ThoughtSpot is at the heart of new 'modern data stack' helping UK food brand Huel find answers more quickly than it used to with Business Intelligence Huel, a privately held UK food brand that's all ...

A new study estimates the environmental impact of AI in 2025 and calls for more transparency from companies on their pollution and water consumption. A new study estimates the environmental impact of ...

Abstract: This paper examines the use of sentiment analysis to detect mental health conditions from social media posts using machine learning techniques. A dataset of over 53,000 labelled posts was ...